Data Architect

🏢 Summary: Role for a Data Scientist responsible for end-to-end development and production deployment of ML models for dynamic pricing, recommendation, and offer-user matching at scale. The position focuses on building, optimizing, and monitoring learning-to-rank and deep learning models in real-time and offline environments. You will work with large datasets and modern cloud-based MLOps infrastructure to deliver production-grade AI solutions. 🗂️ Requirements: Minimum 2 years experience as Data Scientist or similar role, Strong knowledge of ML algorithms and Deep Learning, Experience with Learning-to-Rank models, Proficiency in Python, Experience with pandas, NumPy, scikit-learn, Experience with XGBoost or LightGBM or CatBoost, Experience with PyTorch or TensorFlow, Strong SQL skills, Experience with relational and non-relational databases, Experience working with large datasets, Experience with AWS, Experience with Snowflake, Ability to create data visualizations, Experience with Git, Experience with Jupyter Notebooks or JupyterLab 📃 Skills: Python, SQL, pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, TensorFlow, AWS, Snowflake, Snowpark, Plotly, Streamlit, Git, Jupyter, ML, DeepLearning, Learning-to-Rank, LLM, GenAI 🏢 Description: Trans.eu to jedna z największych platform logistycznych w Europie, łącząca tysiące przewoźników i zleceniodawców. W naszym zespole AI Matching & Pricing Models budujemy inteligentne systemy, które w czasie rzeczywistym dopasowują oferty, ustalają optymalne ceny i personalizują doświadczenia użytkowników - a to dopiero początek. Szukamy Data Scientist , który/a weźmie odpowiedzialność za pełny cykl życia modeli ML - od pomysłu, przez eksperymentowanie, po wdrożenie produkcyjne i ciągłą optymalizację. Co będziesz robić? Budować modele, które działają na produkcji - projektujesz, trenujesz i wdrażasz modele predykcyjne (pricing dynamiczny, rekomendacje, matching ofert i użytkowników) w skali tysięcy transakcji dziennie. Rozwijać systemy rekomendacyjne i ranking - tworzysz modele learning-to-rank, optymalizujesz kolejność i trafność wyników, budujesz embeddingi użytkowników i ofert w oparciu o dane behawioralne, kontekstowe i historyczne. Eksperymentować z najnowszymi podejściami - masz przestrzeń na testowanie rozwiązań opartych na deep learningu, szeregach czasowych, GenAI i LLM-ach do kontekstowych rekomendacji i profilowania użytkowników. Współpracować z zespołem MLOps - wspólnie dbasz o to, żeby modele działały stabilnie i skalowalnie zarówno w trybie online, jak i offline. Monitorować i optymalizować - ciągle ewaluujesz jakość prognoz i rekomendacji, identyfikujesz dryft i wprowadzasz usprawnienia. Eksplorować dane i komunikować wnioski - pracujesz z dużymi zbiorami danych, budujesz feature engineering, tworzysz wizualizacje i prezentacje dla interesariuszy. Czego oczekujemy? Min. 2 lata doświadczenia jako Data Scientist lub w pokrewnej roli. Solidna znajomość algorytmów ML, Deep Learning, Learning-to-Rank i najlepszych praktyk ich stosowania. Biegłość w Pythonie i ekosystemie Data Science (pandas, NumPy, scikit-learn, XGBoost/LightGBM/CatBoost, PyTorch lub TensorFlow). Swobodne pisanie SQL - doświadczenie z bazami relacyjnymi i nierelacyjnymi. Praktyka w pracy z dużymi zbiorami danych i środowiskami chmurowymi ( AWS, Snowflake ). Umiejętność tworzenia czytelnych wizualizacji (Plotly, Streamlit). Praca z Git i środowiskami typu Jupyter Notebooks / JupyterLab. Dodatkowe atuty Doświadczenie w budowie systemów personalizacji, matchingu lub rekomendacji . Praca z LLM-ami w kontekście generowania rekomendacji lub profilowania użytkowników. Znajomość Snowpark w ekosystemie Snowflake. Dlaczego warto? Realny wpływ - Twoje modele będą obsługiwać tysiące firm i setki tysięcy transakcji. To nie POC do szuflady. Pełna odpowiedzialność - prowadzisz projekt od eksperymentu po produkcję, bez sztucznych granic między „research" a „engineering". Nowoczesny stack - AWS, Snowflake, PyTorch, LLM-y, MLOps pipeline'y - pracujesz z technologiami, które mają znaczenie na rynku. Zespół, który ciągnie do przodu - otaczają Cię ludzie, którzy śledzą trendy w AI/ML i chętnie dzielą się wiedzą. Przestrzeń na rozwój - czas na eksplorację nowych podejść, udział w konferencjach i budowanie ekspertyzy w systemach rekomendacyjnych na dużą skalę. Benefity: Prywatna opieka LuxMed, bezpłatne badania profilaktyczne oraz masaże odciążające kręgosłup. Budżet na doposażenie stanowiska pracy zdalnej oraz vouchery podarunkowe. Śniadania w formie bufetu przygotowywane na miejscu. Wyjazdy integracyjne i rodzinne do prywatnego ośrodka nad jeziorem. Zagraniczne wyjazdy integracyjne w ramach workation. Dofinansowanie karty Multisport.

🏢 Summary: Lead Data Engineer role focused on driving architecture and leading a team to build scalable, secure ETL/ELT pipelines and analytics-ready data models on modern cloud platforms. The position combines hands-on engineering with technical leadership, ensuring high standards in governance, observability, and performance optimisation. You will shape data infrastructure that supports large-scale analytics across the organisation. 🗂️ Requirements: Proven experience leading data engineering or analytics engineering teams, Strong programming skills in SQL, Strong programming skills in Python, Hands-on experience with Airflow or Prefect in production, Deep practical experience with dbt, Experience with Snowflake or Databricks at scale, Strong knowledge of dimensional modelling and SCD strategies, Experience implementing data quality and governance frameworks, Experience with CI/CD and automated testing in data systems 📃 Skills: SQL, Python, Airflow, Prefect, dbt, Snowflake, Databricks, ETL, ELT, CI/CD, SCD, Dimensional, Git, IaC 🏢 Description: ABOUT THE COMPANY Our client is a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the infrastructure you lead will have real consequence across the organisation. ABOUT THE ROLE We're looking for a Lead Data Engineer to combine deep technical expertise with hands-on team leadership, guiding a team of data engineers building and maintaining ETL/ELT pipelines, data models, and governance frameworks that power analytics and reporting across the organisation. This is a technical leadership role — you'll drive architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable data solutions. You'll collaborate closely with stakeholders to align technical work with business objectives, champion governance and observability standards, and foster a culture of continuous improvement. The expectation is that you're equally effective in an architecture review as you are pairing with an engineer on a tricky pipeline problem. WHAT YOU'LL WORK ON Team leadership and mentorship Lead and mentor a team of data engineers, promoting collaboration, knowledge sharing, and professional growth. Set the standard for engineering quality and hold the bar consistently. Architecture and pipeline design Drive architectural decisions for ETL/ELT pipelines, orchestration frameworks (Airflow/Prefect), and transformation layers (dbt). Facilitate architecture reviews and contribute to design decisions for scalable, fault-tolerant systems. Analytics data modelling Oversee design and implementation of analytics-ready data models — dimensional schemas, SCD strategies, and semantic layers — that internal teams can build on reliably. Engineering best practices Ensure adherence to clean code, modular design, CI/CD, automated testing, and code review standards across all data engineering work. Platform optimisation Manage performance tuning and cost optimisation for Snowflake, Databricks, and related cloud data platforms at scale. Governance and observability Champion governance, observability, and compliance frameworks across all data workflows — including data quality, lineage tracking, and multi-tenant environment controls. Stakeholder communication Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery aligned with business objectives. WHAT WE LOOK FOR Proven technical team leadership Demonstrated experience leading data engineering or analytics-focused development teams — mentoring engineers, driving architectural decisions, and owning delivery outcomes. SQL and Python Strong programming skills in both SQL and Python, applied to production data systems at scale. ETL/ELT orchestration Hands-on experience with orchestration tools — Airflow and/or Prefect — in production pipeline environments. dbt expertise Deep practical experience with dbt for transformation workflows and analytics modelling, including testing, documentation, and modular project design. Snowflake and Databricks Familiarity with Snowflake and/or Databricks for large-scale data processing, including performance tuning and cost management. Data modelling principles Solid understanding of data modelling principles, incremental strategies, and schema design for analytics — dimensional modelling, SCDs, and semantic layer design. Governance and data quality Knowledge of data quality frameworks, lineage tracking, and governance in multi-tenant environments. Software engineering practices Familiarity with CI/CD, automated testing, and infrastructure-as-code practices applied to data systems. Communication and stakeholder management Strong communication skills with the ability to operate confidently across technical teams and business stakeholders. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 270,000 – 406,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements, hybrid model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 Summary: Design and build a modern data platform from scratch for an insurance client, covering architecture, data ingestion, modelling, and production operations. The role focuses on establishing a governed, scalable Snowflake-based environment to enable reliable reporting and AI capabilities. You will take ownership across the full data lifecycle, from requirements definition to deployment and maintenance. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (BigQuery, Redshift or Snowflake), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design and maintenance, Experience with AWS, GCP or Azure cloud services, Ability to design and build data ingestion and processing pipelines, Experience working in Agile environment, Understanding of data governance and data quality concepts 📃 Skills: Python, SQL, Snowflake, BigQuery, Redshift, Databricks, Azure, AWS, GCP, Terraform, dbt, PowerBI, Spark, ETL, CI/CD 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project Data Foundation & AI Enablement Project Scope We are architecting a modern Data Platform for a fast-scaling client in the Insurance sector. Our work consolidates fragmented legacy systems, organises data from a vast number of sources, and establishes a standardised, governed, and future-proof data foundation. We aim to unlock the full value of the company’s data, enabling faster, informed decision-making and providing the backbone for business growth and AI readiness. Tech stack SQL, Python, Snowflake, dbt, Data modelling, Data quality, Power BI, Azure, Terraform Challenges The primary objective is to deliver a robust data foundation and enable AI capabilities for a client that has grown organically. The work focuses on several key areas: Establishing a production-ready, fully operational Snowflake environment and driving operational excellence. Translating complex business logic into accurate data models to ensure the platform truly reflects business reality. Integrating diverse data sources to build reliable data products and comprehensive data dictionaries. Managing the full Data Engineering and Data Science lifecycle to support production ML and AI experimentation. Taking ownership from concept to deployment. Cultivating an engineering mindset by promoting automation, CI/CD, and rigorous standards. Team We are building a small (4-6 people), agile, cross-functional team capable of delivering the complete data platform, from initial architecture to production operations. Roles involved: DevOps, Data Engineer, Snowflake Specialist, MLOps/AI Engineer, Business Analyst (BA). The team will collaborate closely with business stakeholders to ensure effective knowledge transfer and strict alignment with strategic goals. Team The team is small but highly motivated, taking on a broad scope of responsibilities as the platform is built and expanded. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now

🏢 Summary: Role focused on designing and developing ETL/ELT processes and data integrations within Digital Transformation projects. The position involves building and optimizing Data Warehouse/Data Lake solutions and automating data processing and deployments. The candidate will work with modern Data & AI technologies to enhance enterprise data environments. 🗂️ Requirements: 2–3 years experience in Data Engineering or system integration, Proficiency in SQL, Proficiency in Python, Experience building ETL/ELT processes, Knowledge of PostgreSQL or Oracle, Knowledge of Data Warehouse and Data Lake concepts, Experience with orchestration tools (e.g. Airflow), Knowledge of Docker, Knowledge of Git, Understanding of CI/CD, Experience working in Linux environments, Ability to integrate data from multiple sources 📃 Skills: SQL, Python, ETL, ELT, PostgreSQL, Oracle, Airflow, Docker, Git, CICD, Linux, DataWarehouse, DataLake 🏢 Description: Dołącz do zespołu realizującego projekty Transformacji Cyfrowej i rozwijaj nowoczesne rozwiązania wspierające analitykę biznesową, automatyzację procesów oraz integrację systemów. Szukamy osoby, która chce mieć realny wpływ na rozwój środowiska danych i wdrażanie innowacyjnych technologii w organizacji. Wymagania Min. 2–3 lata doświadczenia w obszarze Data Engineering, integracji systemów lub rozwoju rozwiązań IT Dobra znajomość SQL i Python Doświadczenie w budowie procesów ETL/ELT Znajomość PostgreSQL lub Oracle Znajomość Data Warehouse / Data Lake oraz narzędzi orkiestracji (np. Airflow) Znajomość Docker, Git oraz podstaw CI/CD Umiejętność integracji danych z wielu źródeł i pracy w środowisku Linux Umiejętność analitycznego myślenia i rozwiązywania problemów Komunikatywność, samodzielność i dobra organizacja pracy Język angielski min. B2 Mile widziane Znajomość Kafka lub architektury event-driven Doświadczenie z systemami ERP i projektami transformacji cyfrowej Certyfikaty lub szkolenia z obszaru danych, baz danych lub chmury Znajomość narzędzi AI wspierających programowanie Zadania na stanowisku Projektowanie, rozwój i utrzymanie procesów ETL/ELT oraz integracji danych Rozwój rozwiązań Data Warehouse / Data Lake Automatyzacja procesów przetwarzania danych i wdrożeń IT Integracja systemów biznesowych, ERP i urządzeń produkcyjnych Monitorowanie oraz optymalizacja procesów danych Rozwiązywanie problemów związanych z przepływem i integracją danych Udział w projektach digitalizacji i automatyzacji procesów biznesowych Tworzenie dokumentacji technicznej oraz współpraca z użytkownikami biznesowymi Rozwój rozwiązań z wykorzystaniem Python, SQL oraz nowoczesnych technologii analitycznych i AI Co oferujemy Udział w projektach Transformacji Cyfrowej Pracę z nowoczesnymi technologiami Data & AI Możliwość rozwoju kompetencji technicznych i biznesowych Realny wpływ na rozwój środowiska danych i procesów w organizacji Wynagrodzenia złożone z podstawy i premii - regulaminowej rozliczanej kwartalnie (budżet premii 10% wynagrodzenia zasadniczego kwartalnego) Możliwość doskonalenia zawodowego - finansowane przez firmę szkolenia i podnoszenie kwalifikacji Pakiet benefitów - prywatna opieka medyczna, ubezpieczenia grupowe, możliwość skorzystania z pakietu sportowego (karta Multisport) Dostęp do platformy e-learningowej z bogatą bazą kursów Imprezy integracyjne

🏢 Summary: The role focuses on designing and building scalable data integration and connector applications that replicate and process data from diverse external systems into a cloud-based data platform. It involves developing APIs, frameworks, and infrastructure to standardize connector development, optimize ingestion performance, and ensure secure data transfer in distributed cloud environments. The position also includes technical leadership, collaboration with stakeholders, and mentoring engineers. 🗂️ Requirements: 5+ years experience designing and supporting large-scale systems, Experience building high-performance scalable software in distributed cloud environments, Strong proficiency in Java, Experience with SQL, Strong understanding of relational databases, Experience designing APIs and infrastructure systems, Strong debugging and troubleshooting skills in cloud environments 📃 Skills: Java, SQL, APIs, CDC, SaaS, Cloud, Databases, DistributedSystems, DataIntegration, DataProcessing, Scheduling, Ingestion 🏢 Description: At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our teams develops in-house connectors to connect with external systems and data warehouses. We are working to connect Snowflake with Fortune 500 companies - in the cloud. In this area you will be working on exposing API, blueprints and frameworks for other developers to create their own connectors. YOUR RESPONSIBILITIES Design and develop data integration and processing applications. These applications replicate data from various data sources (including relational databases, saas, data streams) into Snowflake, following CDC patterns. Develop and extend a robust connector platform to standardise and accelerate the development of connectors, either developed by Snowflake or by third parties. Typical example includes developing a scheduling service ensuring timely execution of tasks and optimal resource allocation. Optimize performance of the ingestion, meet with customers & troubleshoot issues and secure data transfer from external systems. Collaborate with teams across the organization and roles. Create design documents and present them to architects and other stakeholders, including company founders. Lead and mentor a group of engineers Coordinate synchronous and asynchronous communication to ensure goals are met. Collaborate with PMs and customers to understand business requirements, and translate them into connector application solutions. QUALIFICATIONS 5+ years industry experience designing, building and supporting large scale systems. Experience with high performance and scalable software in an internet scale distributed cloud environment. Fluency in Java. Experience with SQL. Good understanding of relational databases. Interest in creating well thought out infrastructure and APIs. Excellent debugging and troubleshooting skills, especially in a cloud environment. Great communication skills, both verbal and written, and an interest in working with a diverse set of peers and external developers. WHY JOIN THE ENGINEERING TEAM AT SNOWFLAKE? Building cutting edge cloud technologies is complex, and our engineering team surmounts the obstacles. As a member of our team, you will: Build an industry-leading data platform that customers love. Learn about and contribute to: Super-robust and secure enterprise SaaS platform that services hundreds of customers and millions of complex queries daily. Highly-scalable and reliable data processing platform that runs on hundreds and thousands of machines. User interfaces bridging the enterprise world with the consumer experience. Join a world-class team of both industry veterans and rising stars. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com This role includes (beside base salary): Bonus: This role is also eligible for 15% annual bonus and benefits package Equity: 30-50% of your annual salary

🏢 Summary: Senior Snowflake Data Engineer role focused on designing and optimizing cloud-based enterprise data platforms and scalable ELT/ETL pipelines for Financial Services clients. The position involves building Snowflake-based data solutions, supporting regulatory and financial reporting, and collaborating with stakeholders in Agile consulting environments. Candidates are expected to mentor junior engineers and implement secure, high-performing data engineering practices across cloud ecosystems. 🗂️ Requirements: 7+ years of Data Engineering experience, 4+ years of hands-on Snowflake development, Strong SQL expertise, Strong Python development experience, Experience building enterprise ELT/ETL pipelines, Experience with Azure, AWS, or GCP, Experience with dbt, Airflow, Git, and CI/CD, Knowledge of data modeling, Experience with REST APIs and data integration, Strong troubleshooting and performance tuning skills, Financial Services industry experience, Consulting environment experience, Ability to gather business requirements, Experience leading workshops and solution design sessions, Strong verbal and written communication skills 📃 Skills: Snowflake, SQL, Python, Azure, AWS, GCP, dbt, Airflow, Git, CI/CD, Terraform, Snowpark, REST, ELT, ETL 🏢 Description: About us Itero Group is a Women-Owned Small Business focused on simplifying complex transformations. We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative delivery solutions. Itero Group's dedicated team members are experienced thought leaders, tenacious workers, and creative thinkers. We hire people who are passionate about being catalysts for change and empower people to express their ideas, create better practices, innovate better products, and become better professionals. We have been named a Great Place to Work for six years and offer a competitive salary and benefits package. Itero Group is seeking an experienced Senior Snowflake Data Engineer to support enterprise data modernization initiatives for leading Financial Services clients. This individual will design, develop, and optimize cloud-based data platforms using Snowflake while partnering with business stakeholders, architects, and analytics teams to deliver scalable, secure, and high-performing data solutions. The ideal candidate has deep experience building enterprise data pipelines, implementing cloud data warehouses, and supporting regulatory and financial reporting initiatives within banking, insurance, capital markets, or asset management organizations. Key Responsibilities - Design, develop, and maintain scalable data pipelines using Snowflake. - Build and optimize ELT/ETL processes to ingest data from multiple enterprise systems. - Develop dimensional data models, data marts, and curated analytical datasets. - Optimize Snowflake performance through clustering, partitioning, workload management, and cost optimization. - Implement data quality, lineage, governance, and security best practices. - Develop solutions utilizing Snowpark, stored procedures, streams, tasks, and dynamic tables where appropriate. - Partner with business stakeholders to understand reporting and analytical requirements. - Build reusable data frameworks supporting Finance, Risk, Compliance, Treasury, and Regulatory Reporting. - Develop automated orchestration using Airflow, Azure Data Factory, AWS Glue, or similar technologies. - Participate in Agile ceremonies including sprint planning, backlog grooming, and code reviews. - Mentor junior engineers and promote engineering best practices. Required Qualifications - 7+ years of Data Engineering experience. - 4+ years of hands-on Snowflake development. - Strong SQL expertise including query optimization. - Strong Python development experience. - Experience building enterprise ELT/ETL pipelines. - Experience with cloud platforms: Azure, AWS, GCP (preferred). - Experience with dbt, Airflow, Git, CI/CD, Terraform (preferred). - Experience working with structured and semi-structured data. - Knowledge of data modeling (Star Schema, Snowflake Schema, Kimball). - Experience with REST APIs and data integration. - Strong troubleshooting and performance tuning skills. Financial Services Experience Required Candidates should possess experience supporting one or more of the following: - Banking - Commercial Banking - Investment Banking - Capital Markets - Asset Management - Wealth Management - Insurance - FinTech Consulting Experience - Experience working in consulting environments such as PwC, Deloitte, EY, KPMG, Accenture, Slalom, or similar. - Ability to gather requirements directly from business stakeholders. - Experience leading client workshops and solution design sessions. - Excellent verbal and written communication skills. - Strong presentation and stakeholder management abilities. Benefits - Medical, dental, and vision plans. - Generous PTO and paid holidays. - 401(k) plan with company match and auto-enrollment. - Company-paid disability, life insurance, and AD&D insurance. - Voluntary benefits including pet insurance and student loan assistance. - FSAs, HSAs, wellness programs, and additional work-life balance perks. Itero Group is an equal opportunity employer and does not discriminate against any employee or applicant because of race, age, sex, color, physical or mental disability, religion, sexual orientation, marital status, national origin, veteran status or political affiliation.

🏢 Summary: Senior Snowflake Data Engineer role focused on designing and optimizing cloud-based data platforms and enterprise data pipelines for Financial Services clients. The position involves building scalable ELT/ETL solutions, implementing data governance and performance optimization practices, and collaborating with stakeholders to support reporting, analytics, and regulatory initiatives. Candidates are expected to bring strong Snowflake, SQL, Python, and cloud platform expertise along with consulting experience. 🗂️ Requirements: 7+ years of Data Engineering experience, 4+ years of hands-on Snowflake development, Strong SQL expertise, Strong Python development experience, Experience building enterprise ELT/ETL pipelines, Experience with Azure, AWS, or GCP, Experience with dbt, Experience with Airflow, Experience with Git and CI/CD, Knowledge of dimensional data modeling, Experience with REST APIs and data integration, Strong troubleshooting and performance tuning skills, Financial Services industry experience, Consulting environment experience, Ability to gather business requirements and lead solution workshops, Strong verbal and written communication skills 📃 Skills: Snowflake, SQL, Python, Azure, AWS, GCP, dbt, Airflow, Git, CI/CD, Terraform, Snowpark, REST, ELT, ETL, Kimball 🏢 Description: About us Itero Group is a Women-Owned Small Business focused on simplifying complex transformations. We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative delivery solutions. Itero Group's dedicated team members are experienced thought leaders, tenacious workers, and creative thinkers. We hire people who are passionate about being catalysts for change and empower people to express their ideas, create better practices, innovate better products, and become better professionals. We have been named a Great Place to Work for six years and offer a competitive salary and benefits package. Itero Group is seeking an experienced Senior Snowflake Data Engineer to support enterprise data modernization initiatives for leading Financial Services clients. This individual will design, develop, and optimize cloud-based data platforms using Snowflake while partnering with business stakeholders, architects, and analytics teams to deliver scalable, secure, and high-performing data solutions. The ideal candidate has deep experience building enterprise data pipelines, implementing cloud data warehouses, and supporting regulatory and financial reporting initiatives within banking, insurance, capital markets, or asset management organizations. Key Responsibilities - Design, develop, and maintain scalable data pipelines using Snowflake. - Build and optimize ELT/ETL processes to ingest data from multiple enterprise systems. - Develop dimensional data models, data marts, and curated analytical datasets. - Optimize Snowflake performance through clustering, partitioning, workload management, and cost optimization. - Implement data quality, lineage, governance, and security best practices. - Develop solutions utilizing Snowpark, stored procedures, streams, tasks, and dynamic tables where appropriate. - Partner with business stakeholders to understand reporting and analytical requirements. - Build reusable data frameworks supporting Finance, Risk, Compliance, Treasury, and Regulatory Reporting. - Develop automated orchestration using Airflow, Azure Data Factory, AWS Glue, or similar technologies. - Participate in Agile ceremonies including sprint planning, backlog grooming, and code reviews. - Mentor junior engineers and promote engineering best practices. Required Qualifications - 7+ years of Data Engineering experience. - 4+ years of hands-on Snowflake development. - Strong SQL expertise including query optimization. - Strong Python development experience. - Experience building enterprise ELT/ETL pipelines. - Experience with cloud platforms: Azure, AWS, GCP (preferred). - Experience with dbt, Airflow, Git, CI/CD, Terraform (preferred). - Experience working with structured and semi-structured data. - Knowledge of data modeling (Star Schema, Snowflake Schema, Kimball). - Experience with REST APIs and data integration. - Strong troubleshooting and performance tuning skills. Financial Services Experience Required Candidates should possess experience supporting one or more of the following: - Banking - Commercial Banking - Investment Banking - Capital Markets - Asset Management - Wealth Management - Insurance - FinTech Consulting Experience - Experience working in consulting environments such as PwC, Deloitte, EY, KPMG, Accenture, Slalom, or similar. - Ability to gather requirements directly from business stakeholders. - Experience leading client workshops and solution design sessions. - Excellent verbal and written communication skills. - Strong presentation and stakeholder management abilities. Benefits - Medical, dental, and vision plans. - Generous PTO and paid holidays. - 401(k) plan with company match and auto-enrollment. - Short-term and long-term disability, life insurance, and AD&D insurance. - Voluntary benefits including pet insurance and student loan assistance. - FSAs, HSAs, wellness programs, and additional work-life balance benefits. Itero Group is an equal opportunity employer and does not discriminate against any employee or applicant because of race, age, sex, color, physical or mental disability, religion, sexual orientation, marital status, national origin, veteran status or political affiliation.

🏢 Summary: Senior Snowflake Data Engineer role focused on designing and optimizing cloud-based data platforms and enterprise data pipelines for Financial Services clients. The position involves building scalable ELT/ETL solutions, data models, and automated orchestration workflows while collaborating with stakeholders and mentoring engineers. Candidates must have strong Snowflake, SQL, Python, and cloud platform expertise along with Financial Services and consulting experience. 🗂️ Requirements: 7+ years of Data Engineering experience, 4+ years of hands-on Snowflake development, Strong SQL expertise, Strong Python development experience, Experience building enterprise ELT/ETL pipelines, Experience with Azure, AWS, or GCP, Experience with dbt, Airflow, Git, and CI/CD, Experience working with structured and semi-structured data, Knowledge of Star Schema, Snowflake Schema, and Kimball data modeling, Experience with REST APIs and data integration, Strong troubleshooting and performance tuning skills, Financial Services industry experience, Consulting environment experience, Ability to gather requirements from business stakeholders, Experience leading workshops and solution design sessions, Strong verbal and written communication skills 📃 Skills: Snowflake, SQL, Python, Azure, AWS, GCP, dbt, Airflow, Git, CI/CD, Terraform, Snowpark, REST, ETL, ELT, Kimball 🏢 Description: About us Itero Group is a Women-Owned Small Business focused on simplifying complex transformations. We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative delivery solutions. Itero Group is seeking an experienced Senior Snowflake Data Engineer to support enterprise data modernization initiatives for leading Financial Services clients. This individual will design, develop, and optimize cloud-based data platforms using Snowflake while partnering with business stakeholders, architects, and analytics teams to deliver scalable, secure, and high-performing data solutions. The ideal candidate has deep experience building enterprise data pipelines, implementing cloud data warehouses, and supporting regulatory and financial reporting initiatives within banking, insurance, capital markets, or asset management organizations. Key Responsibilities - Design, develop, and maintain scalable data pipelines using Snowflake. - Build and optimize ELT/ETL processes to ingest data from multiple enterprise systems. - Develop dimensional data models, data marts, and curated analytical datasets. - Optimize Snowflake performance through clustering, partitioning, workload management, and cost optimization. - Implement data quality, lineage, governance, and security best practices. - Develop solutions utilizing Snowpark, stored procedures, streams, tasks, and dynamic tables where appropriate. - Partner with business stakeholders to understand reporting and analytical requirements. - Build reusable data frameworks supporting Finance, Risk, Compliance, Treasury, and Regulatory Reporting. - Develop automated orchestration using Airflow, Azure Data Factory, AWS Glue, or similar technologies. - Participate in Agile ceremonies including sprint planning, backlog grooming, and code reviews. - Mentor junior engineers and promote engineering best practices. Required Qualifications - 7+ years of Data Engineering experience. - 4+ years of hands-on Snowflake development. - Strong SQL expertise including query optimization. - Strong Python development experience. - Experience building enterprise ELT/ETL pipelines. - Experience with cloud platforms: Azure, AWS, GCP (preferred). - Experience with dbt, Airflow, Git, CI/CD, Terraform (preferred). - Experience working with structured and semi-structured data. - Knowledge of data modeling (Star Schema, Snowflake Schema, Kimball). - Experience with REST APIs and data integration. - Strong troubleshooting and performance tuning skills. Financial Services Experience Required Candidates should possess experience supporting one or more of the following: - Banking - Commercial Banking - Investment Banking - Capital Markets - Asset Management - Wealth Management - Insurance - FinTech Consulting Experience - Experience working in consulting environments such as PwC, Deloitte, EY, KPMG, Accenture, Slalom, or similar. - Ability to gather requirements directly from business stakeholders. - Experience leading client workshops and solution design sessions. - Excellent verbal and written communication skills. - Strong presentation and stakeholder management abilities. Benefits - Health & Wellness: Medical (BC-BS), dental, and vision plans. - Paid Time Off: Generous PTO, paid holidays, and increasing PTO based on years of service. - Retirement Savings: 401(k) plan with company match and auto-enrollment. - Company-Paid Coverage: Short-term and long-term disability, life insurance, and AD&D insurance. - Additional Options: Voluntary benefits including pet insurance and student loan assistance up to $1,000 annually. - Perks: FSAs, HSAs, wellness programs, and more to enhance work-life balance. Itero Group is an equal opportunity employer and does not discriminate against any employee or applicant because of race, age, sex, color, physical or mental disability, religion, sexual orientation, marital status, national origin, veteran status or political affiliation.

🏢 Summary: Senior Automation Engineer role in an E-mobility project, responsible for designing and building a scalable test automation framework from scratch within an international environment. The position combines hands-on Java-based automation, CI/CD integration in AWS cloud, and QA process leadership in an Agile team. The role requires architectural ownership, API and UI test automation, and close collaboration with development and product teams. 🗂️ Requirements: Proven senior-level experience in designing test automation architecture, Strong proficiency in Java, Hands-on experience with Selenium or Selenide, Experience with REST Assured and BDD frameworks, Advanced knowledge of API testing and service mocking, Practical experience integrating tests into CI/CD pipelines, Experience working with AWS or cloud environments, Ability to design and implement scalable automation frameworks from scratch, Experience working in Agile/Scrum teams, English proficiency at B2+/C1 level 📃 Skills: Java, Selenium, Selenide, REST, RESTAssured, Cucumber, BDD, Postman, Swagger, AWS, CI/CD, API, Docker, Kubernetes, JMeter, Gatling, ISTQB 🏢 Description: W ITLT pomagamy naszym zaprzyjaźnionym firmom przekształcać ambitne pomysły w cyfrową rzeczywistość. Z nastawieniem na wyzwania, ciekawość technologii i zwinność - współtworzymy wyjątkowe rozwiązania IT i zapewniamy najlepszych specjalistów. Aktualnie poszukujemy Kandydata do kluczowego zespołu w obszarze E-mobility (zarządzanie siecią stacji ładowania pojazdów elektrycznych). Informacje organizacyjne: Klient: Międzynarodowy gigant z sektora Retail i E-mobility. Dołączysz do strategicznego hubu technologicznego w Warszawie, budującego systemy o globalnym zasięgu. Forma współpracy: Umowa B2B (kontrakt przez IT LeasingTeam), współpraca długoterminowa, pełen etat. Wynagrodzenie: 150 - 170 PLN/h netto (+VAT) Lokalizacja: Model hybrydowy (2 dni w tygodniu z biura w centrum Warszawy). Twoja Rola: Wchodzisz do 8-osobowego zespołu deweloperskiego (4x Frontend, 4x Backend) jako jedyny ekspert od automatyzacji. Nie szukamy "wykonawcy skryptów", ale Inżyniera-Architekta, który zbuduje framework od zera i narzuci zespołowi standardy jakościowe. Jesteś "strażnikiem procesu" – jeśli na Refinemencie zadanie nie ma jasnych kryteriów testowych, to Ty mówisz "Stop". To rola dla pragmatyka: projektujesz zaawansowane rozwiązania w chmurze (AWS), ale gdy pod koniec sprintu trzeba dowieźć krytyczną funkcjonalność – zakasujesz rękawy i pomagasz w testach manualnych. Co będziesz robić? Budowa od zera: Projektowanie i wdrażanie skalowalnego frameworka automatyzacyjnego (Java) dla testów API oraz UI. CI/CD & Cloud: Konfiguracja i utrzymanie pipeline'ów testowych w chmurze (AWS). QA Leadership & Mentoring: Ewangelizacja dobrych praktyk w zespole oraz aktywne uczestnictwo w gildii testerskiej (COP QA) na poziomie całej organizacji. Strażnik Procesu (Agile): Aktywny udział w Refinementach. Wychodzisz z założenia: "Jeśli nie wiemy, jak to przetestować, deweloperzy nie będą wiedzieć, jak to zaimplementować". Strategia i Planowanie: Ścisła współpraca z Product Ownerem i Testerem Manualnym w celu decydowania, co automatyzować (a czego świadomie nie automatyzować). Hands-on Team Member: Pisanie kodu, ale też wspieranie testów manualnych, gdy wymaga tego cel zespołu ("unloading picks"). Zarządzanie Danymi i Ryzykiem : Samodzielne przygotowywanie danych testowych (test data management) oraz raportowanie ryzyk projektowych. Oczekiwania: Seniority poparte wynikami: Szukamy eksperta. Musisz potrafić samodzielnie zaprojektować architekturę testów i obronić swoje decyzje technologiczne. Technologia (Core): Biegła znajomość Javy. Doświadczenie z narzędziami takimi jak Selenium/Selenide, REST Assured, Cucumber/BDD. API & Integracje: Zaawansowane zrozumienie testowania API (Postman, Swagger) oraz mockowania usług. Infrastruktura: Praktyczne doświadczenie we wpinaniu testów w procesy CI/CD (najchętniej środowisko chmurowe / AWS). Mindset: Analityczny, asertywny i proaktywny. Potrafisz zadawać trudne pytania biznesowi i deweloperom. Brak "Ego": Jesteś inżynierem automatyzacji, ale rozumiesz, że testy manualne to integralna część dowożenia wartości w Scrumie i nie masz oporów, by w nich pomóc. Język angielski: B2+/C1 – codzienna praca w środowisku międzynarodowym. Mile widziane: Doświadczenie z testami wydajnościowymi (JMeter / Gatling). Znajomość Dockera, Kubernetes i podejścia Infrastructure-as-Code. Certyfikat ISTQB (lub równoważna, ugruntowana wiedza teoretyczna z zakresu piramidy testów i technik projektowania). Oferujemy: Projekt "Greenfield" w obszarze E-mobility (bardzo nowoczesny stack technologiczny). Skandynawski work-life balance. Ogromną autonomię działania – to Ty układasz proces automatyzacji w swoim zespole. Współpracę z ekspertami (techniczna elita firmy). Stabilny kontrakt B2B, elastyczność i kulturę pracy w stylu skandynawskim. Możliwość wykupienia benefitów (Lux-Med, Multisport, PZU). Brzmi jak środowisko, w którym rozwiniesz skrzydła? 📩 Aplikuj i porozmawiajmy o konkretach

🏢 Summary: Data / AI Engineer role focused on building and maintaining scalable data pipelines and document-processing workflows for AI-powered applications, including RAG and LLM solutions. The position involves transforming structured and unstructured data into high-quality datasets, embeddings, and searchable stores while collaborating with AI and data teams. The offer includes flexible work options, professional development opportunities, and access to modern cloud and data technologies. 🗂️ Requirements: Strong Python skills, Strong SQL skills, Experience with ETL/ELT pipelines, Experience with data processing workflows, Experience with document processing, Experience with unstructured data, Familiarity with Docker, Experience with data platforms or data warehouses, Experience with Snowflake or MongoDB, Understanding of data modelling principles, Understanding of data preparation techniques, Ability to work with complex data sources, Clear collaborative communication 📃 Skills: Python, SQL, pandas, Docker, Snowflake, MongoDB, ETL, ELT, OCR, RAG, LLM 🏢 Description: Billennium is a global technology company with over 20 years of experience, committed to innovation and empowering businesses. As an employer, we offer a supportive, growth-focused environment where collaboration and creativity thrive. Join us to shape the future of technology together! Role Purpose We are looking for a Data / AI Engineer to build and own the upstream data pipelines that prepare large volumes of documents and business data for AI-powered applications. You will transform diverse, complex data sources into structured, high-quality datasets ready for analytics, retrieval-augmented generation (RAG), and large language model (LLM) workflows. You will ensure that information is consistently collected, cleaned, enriched, processed, and made available for intelligent search and AI-driven solutions. You will work closely with data scientists and AI engineers to enable reliable, scalable, and production-ready data foundations. Key Responsibilities Own end-to-end data flows from raw documents and source systems to structured data, embeddings, and searchable data stores Build and maintain ETL/ELT pipelines for extracting, transforming, and loading data Ingest and process data from multiple internal and external sources Extract metadata and structure unstructured documents for AI and analytics use cases Clean, normalize, and prepare large document collections for LLM and RAG applications Develop automated pipelines for document processing, chunking, embedding generation, and indexing Ensure data quality, consistency, versioning, and pipeline reliability Support the development and optimization of AI solutions using embeddings, vector search, semantic search, and retrieval techniques Help design scalable data architectures for growing data volumes Collaborate with data scientists, engineers, and business stakeholders to deliver data-driven capabilities Required Skills & Experience Strong Python skills, including experience with data processing libraries such as pandas Strong SQL skills and experience working with structured data Experience building ETL/ELT pipelines and data processing workflows Experience working with document processing and unstructured data Familiarity with Docker and modern data platforms or warehouses Experience working with databases such as Snowflake, MongoDB, or similar technologies Understanding of data modelling principles and data preparation techniques Analytical mindset with strong attention to detail Ability to work effectively with messy, evolving, and complex data sources Clear, direct, and collaborative communication style Nice to Have Experience with OCR technologies and document extraction Experience with MongoDB Atlas or similar platforms Basic understanding of embeddings, RAG architectures, vector databases, and semantic search Experience supporting AI or machine learning projects Perks and benefits: Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers. Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location. Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more. Global collaboration - work with a diverse, international team. Innovative environment - be part of a forward-thinking and growth-oriented workplace. Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work. Team-building events including our company tradition (annual company event in Mazury ). A pleasant surprise to start your journey with us in the form of a welcome pack. Recruitment process: HR call Technical Interview Interview with the dedicated Client Final decision/ Feedback Sounds interesting? Click "Apply" and have a chance to hear more! 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