Senior Data Engineer (Python & Databricks)

🏢 Summary: Remote Full-stack Data Engineer role focused on building and enhancing a modern Azure-based data architecture and reporting framework supporting IFRS17 and IFRS9 processes, using Angular and Python. The position involves end-to-end development of data pipelines, ETL solutions, and full-stack applications within a scalable cloud environment. 🗂️ Requirements: Proven experience as Full-stack Developer or Data Engineer, Strong hands-on experience with Angular, Strong hands-on experience with Python and Flask, Experience with Microsoft Azure services, Experience building ETL or data integration pipelines, Knowledge of unit testing and integration testing, Experience with data architectures and reporting frameworks, Understanding of configuration management and deployment processes, European Union citizenship, Residence in Poland 📃 Skills: Angular, Python, Flask, Azure, DataFactory, Databricks, ETL, SQL, IFRS17, IFRS9 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are currently looking for an experienced Full-stack Data Engineer (Azure + Python + Angular) to join a remote development team working on building a modern data architecture and reporting framework supporting IFRS17 and IFRS9 Quality Assurance and reporting processes. Project information: Type of project: IT services Office location: Poland Work mode: Remote Budget: 100–130 PLN net/h – b2b Project length: Long-term Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP (depending on candidate’s availability) Project scope: Design, develop, and maintain full-stack solutions using Angular (frontend) and Python (Flask backend) Build and deploy end-to-end data pipelines and applications (development-focused, not only maintenance) Develop and maintain application code, mappings, and integrations across systems Design and implement ETL / Data Integration solutions using Azure Data Factory and Azure Databricks Participate in architecture design and contribute to building a scalable data and reporting framework Collaborate with business stakeholders to design wireframes and define UI requirements Ensure proper documentation of UI and system requirements Troubleshoot and resolve technical issues across the application stack Maintain and enhance the current VITA architecture Improve system performance, scalability, and security Deliver product releases in line with specifications, including unit testing Implement new features, change requests, and required design/documentation activities Develop and execute integration tests to ensure compliance with requirements Maintain and update build procedures and configuration management processes Competence demands: Proven experience as a Full-stack Developer / Data Engineer or similar role Strong hands-on experience with Angular and Python (Flask) Solid experience with Microsoft Azure ecosystem (Data Factory, Databricks, cloud services) Experience in building ETL / data integration pipelines Knowledge of unit testing and integration testing practices Understanding of configuration management and deployment processes Experience working with data architectures and reporting frameworks Familiarity with regulatory environments (IFRS17 / IFRS9 is a strong plus) Strong problem-solving and troubleshooting skills Ability to work independently in a remote environment Good communication skills and ability to collaborate with business stakeholders We offer: Remote working model Full-time job agreement based on b2b Private medical care with dental care (covering 70% of costs) Multisport card (also for an accompanying person) Life insurance

🏢 Summary: Long-term remote DevOps Engineer role focused on designing and optimizing Azure-based data platforms and cloud infrastructure. The position involves building scalable data pipelines, automating infrastructure, and maintaining secure, reliable CI/CD environments. The role combines data engineering, cloud architecture, and DevOps practices within Azure ecosystems. 🗂️ Requirements: EU citizenship and residence in Poland, Strong knowledge of data modelling (data warehouse, transactional models), Hands-on experience with Databricks, Delta Lake, Azure Data Factory, Azure Data Lake, Cosmos DB, Proficiency in Python, PowerShell, MS SQL Server, T-SQL, Experience with Terraform, ARM templates, YAML, infrastructure automation, Experience with Azure IaaS and PaaS services, Understanding of distributed systems architecture, Windows Server administration experience, Knowledge of Azure Policies, scaling, disaster recovery, backup and restore, Experience with OAuth2, OpenID Connect, Azure Entra ID, Experience with CI/CD and DevOps practices (Azure DevOps, Git), Experience in Agile/Scrum environments, Good English skills 📃 Skills: Azure, Databricks, DeltaLake, AzureDataFactory, AzureDataLake, CosmosDB, Python, PowerShell, MSSQL, TSQL, Terraform, ARM, YAML, AzureDevOps, Git, WindowsServer, OAuth2, OpenIDConnect, EntraID, KQL, Gremlin, Pester, PowerShellDSC, CI/CD, IaaS, PaaS 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting edge technologies that shape the world of the future. Currently, we are looking for an experienced DevOps Engineer. Project information: Type of project: IT services Office location: Poland Work mode: Remote Budget: 130 –150 PLN net /h - b2b Project length: Long-term Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP (depending on candidate’s availability) Your tasks: Design and implement scalable data processes using Azure Data Factory and Databricks Develop, maintain, and version data models Work with and optimize Azure-based cloud data infrastructures Execute schema design and data migration activities Optimize ETL/ELT performance and reliability Support infrastructure automation using PowerShell, ARM templates, and Terraform Maintain and enhance existing application and DevOps environments Perform cloud service troubleshooting, root cause analysis, and issue resolution Implement operational and security measures in line with MR guidelines Monitor and ensure stability of cloud and DevOps infrastructure Design and configure network infrastructure components Apply Site Reliability Engineering (SRE) principles Develop and maintain Azure DevOps CI/CD pipelines Support solution roll-outs and deployments Create and maintain infrastructure and technical documentation Requirements: Strong knowledge of data modelling concepts (data warehouse and transactional models) Hands-on experience with Databricks, Delta Lake, Azure Data Factory, Azure Data Lake, and Cosmos DB Proficiency in Python, PowerShell, MS SQL Server, and T-SQL Strong experience with Terraform, YAML, ARM templates, and infrastructure automation Experience with Azure IaaS and PaaS services (App Services, Application Gateway, Azure Firewall, Routing, API Management) Understanding of distributed systems architecture Windows Server administration experience Knowledge of Azure Policies, scaling strategies, disaster recovery, backup and restore concepts Experience with OAuth2, OpenID Connect, and Azure Entra ID Familiarity with SQL Server, Kusto Query Language, Gremlin Query Language, Pester, SaaS, (A)AD, Managed Identities, Azure Artifacts, and PowerShell DSC Practical knowledge of DevOps practices, CI/CD (Azure DevOps, Git, Visual Studio), and optimization of complex data flows Experience working in Agile/Scrum environments PowerBI is considered an advantage Good command of the English language We offer: Private medical care with dental care (covering 70% of costs) Multisport card (also for an accompanying person). Life insurance. Work with talented engineers on large-scale, technically challenging projects.

🏢 Summary: Remote Platform Engineer role focused on designing, building, and operating enterprise-grade Azure data platforms for BI and analytics teams. The position centers on Infrastructure as Code, CI/CD automation, Databricks platform management, and secure cloud architecture. The engineer acts as a platform advisor, ensuring reliability, security, and scalability of Azure-based data solutions. 🗂️ Requirements: Strong admin-level experience with Microsoft Azure, Experience with Entra ID / Azure AD and RBAC, Hands-on experience with Azure networking, ADLS Gen2, Key Vault, Commercial experience with Terraform in modular, multi-environment setups, Hands-on CI/CD using Azure DevOps, GitHub Actions or GitLab, Practical platform experience with Databricks (clusters, jobs, governance), Platform/SRE mindset with monitoring and incident management, Scripting skills in PowerShell or Python, Experience with enterprise cloud architectures, English and Polish proficiency, Power BI experience 📃 Skills: Azure, EntraID, AzureAD, RBAC, Networking, ADLSGen2, KeyVault, Terraform, CICD, AzureDevOps, GitHubActions, GitLab, Databricks, AzureMonitor, LogAnalytics, PowerShell, Python, PowerBI 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Platform Engineer to join our client, an IT company specializing in AI consultancy. You will have a key role in designing, building, and operating enterprise-grade data platforms that enable analytics teams to deliver real business value. You will be responsible for the Azure foundation behind Business Intelligence and Data solutions — from secure networking and identity, through Infrastructure as Code, to Databricks operations and CI/CD automation. This role is ideal for someone with a strong platform/SRE mindset who enjoys building scalable cloud architectures, automating everything, and acting as a technical advisor for analytics and BI teams. Project information: Work Setup: 100% Remote work Rate: 160 – 180 PLN/net/h + VAT (B2B contract) Start date: March 2026/ depending on candidate availability Language: English (min B2+) Project scope: Design and operate enterprise Azure data platforms (identity, networking, storage, security). Build Infrastructure as Code with Terraform (modules, environments, Azure + Databricks providers). Create and maintain CI/CD pipelines (Azure DevOps / GitHub Actions / GitLab). Manage Databricks from the platform side (clusters, jobs, secrets, repos, permissions). Implement monitoring and observability (Azure Monitor / Log Analytics). Support analytics teams by ensuring stability, performance, and security. Troubleshoot production issues and drive RCA. Automate operations using PowerShell and/or Python. Act as a platform advisor for BI and data teams. Requirements: Strong admin-level experience with Microsoft Azure (Entra ID / Azure AD, RBAC, networking, ADLS Gen2, Key Vault). Commercial experience with Terraform (modular, multi-env setups). Hands-on CI/CD using Azure DevOps, GitHub Actions or GitLab. Practical platform knowledge of Databricks (clusters, jobs, governance). Platform/SRE mindset (monitoring, incidents, reliability). Scripting skills (PowerShell/Python). Experience with enterprise cloud architectures. English & Polish proficiency. Power BI background We offer: Full-time job agreement based on B2B Private medical care with dental care (covering 70% of costs) + rehabilitation package. Family package option possible Multisport card (also for an accompanying person) Life insurance

🏢 Summary: Long-term remote contract for a Senior Data Engineer focused on large-scale migration from SQL Server to Databricks/Delta Lake in an enterprise insurance environment. The role involves transforming complex SQL logic into scalable PySpark/Python solutions and developing production-grade data engineering code within Medallion architecture. You will work with petabyte-scale data and contribute to architectural design, code reviews, and CI/CD processes. 🗂️ Requirements: Strong commercial experience in data engineering (Mid/Senior level), Very good practical knowledge of Python, Hands-on experience with PySpark, Commercial experience with Databricks, Experience with Delta Lake, Advanced SQL skills and ability to analyze complex stored procedures, Experience with large shared codebases, Strong OOP knowledge, Application of Clean Code and refactoring principles, Experience in data modeling (transactional and analytical), Understanding of Medallion architecture, Experience with enterprise development workflows, Ability to write production-grade PySpark/Python code 📃 Skills: Python, PySpark, Databricks, DeltaLake, SQL, SQLServer, OOP, CleanCode, Medallion, Azure, DataFactory, Git, CICD, DevOps, PowerBI, Spark 🏢 Description: Be in IT to firma rekrutacyjna, wyspecjalizowana w poszukiwaniu Specjalistów z branży technologii informatycznych. Obecnie, dla naszego klienta, poszukujemy osoby na stanowisko Senior Data Engineer . Zakres obowiązków: Długofalowa współpraca z międzynarodową, topową firmą consultingową, świadcząca usługi IT dla dużych i średnich firm z różnorodnych sektorów jak automotive, healthcare, finanse, bankowość czy produkcja. Wsparcie wielkoskalowej transformacji systemów z SQL Server do platformy Databricks / Delta Lake w środowisku ubezpieczeniowym klienta. Analiza i transformacja złożonej logiki biznesowej (stored procedures) w SQL na czysty, skalowalny i łatwy w utrzymaniu kod w technologiach Python / PySpark. Aktywny rozwój i utrzymanie dużej bazy kodu inżynierii danych (data engineering codebase), współdzielonej przez wiele zespołów. Projektowanie i rozwijanie modeli danych w ramach Medallion Architecture (warstwy Bronze / Silver / Gold). Implementacja kodu transformacyjnego klasy produkcyjnej (pakiety, moduły, reużywalne komponenty), wykraczającego poza użycie samych notebooków. Zastosowanie najlepszych praktyk inżynierii oprogramowania (Clean Code, OOP, modularyzacja, refaktoryzacja). Praca z bardzo dużymi wolumenami danych (petabajty) oraz wysoce równoległymi, opartymi na zdarzeniach (event-driven) transformacjami. Udział w code reviews oraz dyskusjach dotyczących projektowania technicznego architektury. Opcjonalnie: wsparcie workflowów orkiestracyjnych (np. Azure Data Factory) oraz rozwój procesów i CI/CD pipelines. Oczekujemy: Praktycznego doświadczenia technicznego (poziom Strong Mid-Level / Senior) – weryfikowanego na podstawie rzeczywistych umiejętności inżynieryjnych, a nie wyłącznie lat pracy. Bardzo dobrej, praktycznej znajomości języka Python oraz technologii PySpark. Udokumentowanego doświadczenia w pracy z Databricks oraz Delta Lake. Umiejętności pracy w dużych, współdzielonych środowiskach kodu. Biegłej znajomości SQL, szczególnie w zakresie czytania i rozumienia bardzo złożonej logiki. Solidnego doświadczenia w programowaniu obiektowym (OOP) oraz stosowaniu zasad Clean Code i refaktoryzacji. Praktyki w pracy z przepływami dla rozwiązań klasy enterprise (enterprise development workflows) oraz zdolności analitycznego rozkładania istniejącego kodu linijka po linijce. Silnych kompetencji w modelowaniu danych (transakcyjnym i analitycznym) oraz zrozumienia architektur wielowarstwowych (Bronze / Silver / Gold). Gotowości do przejścia rozmowy technicznej weryfikującej produkcyjny kod PySpark/Python. Mile widziane: doświadczenie z Azure Data Factory, Git, CI/CD pipelines, DevOps oraz narzędziami analitycznymi takimi jak Power BI Znajomości języka angielskiego na poziomie B2 lub C1 – umożliwiająca swobodną komunikację w międzynarodowym środowisku oraz mile widziana jest znajomość języka niemieckiego. Mile widziana jest dostępność ASAP; akceptowalny jest maksymalnie miesięczny okres wypowiedzenia, ze skutkiem na koniec miesiąca. Oferujemy: Długofalowa współpraca z wynagrodzeniem w przedziale 140-170 PLN netto/godz. + VAT. Wsparcie przy zakładaniu i prowadzeniu działalności gospodarczej, dla osób bez takiego doświadczenia. Sprawny proces rekrutacyjny - dwie rozmowy techniczne z managerami, online (każda maksymalnie po godzinie). Współpraca w pełni zdalna. Benefity - prywatna opieka medyczna, karta Multisport. Nowoczesny sprzęt zapewniany przez firmę, wraz z softem i konfiguracją.

🏢 Summary: Remote Full Stack .NET Developer role focused on building and maintaining enterprise-grade applications using Angular 20+ and ASP.NET Core (.NET 9+) within a Microsoft and Azure ecosystem. The position involves designing scalable solutions, integrating authentication and external systems, and deploying cloud-native applications using Docker, Kubernetes, and CI/CD pipelines. Long-term B2B project for EU citizens residing in Poland. 🗂️ Requirements: Strong commercial experience as Full Stack .NET Developer, Hands-on experience with Angular 20+, Very good knowledge of ASP.NET Core and modern .NET, Experience designing and developing RESTful APIs, Experience with Microsoft Azure services, Strong knowledge of Microsoft SQL Server, Experience with Entity Framework Core, Experience with Docker and containerized environments, Understanding of Kubernetes, Experience building and maintaining CI/CD pipelines, Strong SQL skills, Knowledge of authentication and authorization mechanisms including Azure AD, Experience in Agile environments, Very good English skills, EU citizenship, Residence in Poland 📃 Skills: Angular, ASP.NET, NET, C#, REST, Azure, MSAL, AzureAD, SQL, SQLServer, EntityFramework, Docker, Kubernetes, CI/CD, Vitest, xUnit, Moq, AzureDevOps 🏢 Description: In Cyclad, we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are currently looking for an experienced Full Stack .NET Developer to join a remote international team delivering enterprise-grade applications using modern Microsoft and Angular technologies. In this role, you will be responsible for designing, developing, and maintaining scalable applications while collaborating closely with cross-functional teams in an agile environment. Project information: Type of project: It services Office Location: Poland Work mode: Remote from Poland Budget: 120-140 PLN net/ h- B2B Project length: Long term Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP (depending on candidate’s availability) Project scope: Design and develop enterprise applications using Angular 20+ on the front end and ASP.NET Core (.NET 9+) on the back end Implement standalone components and signals-based architecture to build responsive and maintainable user interfaces Integrate Azure MSAL authentication, RESTful APIs, and external systems Build and optimize data access layers using Entity Framework Core and manage relational data in Microsoft SQL Server Ensure application security through authentication, authorization, and data protection mechanisms based on Azure Active Directory Deploy and manage application environments using Docker, Kubernetes, and CI/CD pipelines Develop and maintain comprehensive unit and integration tests for both front-end and back-end components using Vitest, xUnit, and Moq Collaborate with cross-functional teams to maintain shared libraries and continuously improve product functionality based on user feedback Troubleshoot, debug, and optimize applications to ensure scalability, reliability, and high performance Participate actively in code reviews by reviewing and approving Pull Requests from team members Document project progress, architectural decisions, and implementation outcomes using Azure DevOps Boards and Wiki Contribute to continuous improvement initiatives and promote development best practices across the team Competence demands: Strong commercial experience as a Full Stack .NET Developer Proven hands-on experience with Angular and .NET technologies Very good knowledge of ASP.NET Core and modern .NET development practices Experience designing and developing RESTful APIs Practical experience with Microsoft Azure services and cloud-native applications Strong knowledge of Microsoft SQL Server and relational database design Experience with Entity Framework Core Experience working with Docker and containerized environments Good understanding of Kubernetes and container orchestration Experience building and maintaining CI/CD pipelines Strong SQL skills and experience optimizing database queries Understanding of authentication and authorization mechanisms, including Azure AD integrations Experience working in Agile development environments Strong communication and collaboration skills Proactive approach, ownership mindset, and ability to independently lead feature implementations High attention to detail and commitment to code quality Very good English skills, both written and spoken We offer: Remote working model from Poland Full-time job agreement based on b2b Private medical care with dental care (covering 70% of costs) Multisport card (also for an accompanying person ) Life insurance Recruitment process: Introductory call Technical interview Final decision

🏢 Summary: Contract role for a Senior Data Engineer with strong MLOps expertise to design and maintain end-to-end data and ML pipelines in Azure Databricks. The position focuses on building reproducible training and deployment workflows, implementing data quality and monitoring frameworks, and optimizing performance and cost in production environments. The engineer will also ensure security, compliance, and infrastructure consistency using IaC and CI/CD practices. 🗂️ Requirements: Senior-level experience in Data Engineering, Strong MLOps background, Hands-on experience with Azure Databricks (Workflows, Delta Lake, Unity Catalog), Proficiency in PySpark and SQL Warehouses, Experience building production-grade data and ML pipelines, Experience with CI/CD pipelines (GitHub Actions or Azure DevOps), Experience with monitoring and ML observability tools, Knowledge of data quality frameworks and drift detection, Experience with security, access management and compliance in data/ML environments, Experience with Infrastructure as Code using Terraform 📃 Skills: Azure, Databricks, PySpark, SQL, DeltaLake, UnityCatalog, CI/CD, GitHubActions, AzureDevOps, Lakeview, Grafana, Terraform, MLOps, IaC 🏢 Description: Senior Data Engineer / MLOps Remote, Poland B2B till August 160–180 PLN/h Responsibilities Design & maintain end-to-end data & ML pipelines (Databricks Workflows, Delta Lake, Unity Catalog) Build reproducible training & deployment workflows (experiment tracking, model registry, artifact management) Implement data quality frameworks, observability metrics, dashboards (Lakeview, Grafana) Automate ingestion & feature pipelines via PySpark, SQL Warehouses, DAB within CI/CD Manage security, access control & compliance in data/ML environments Optimize compute performance & cost (autoscaling, spot instances, caching, partitioning) Develop automated evaluation & validation pipelines (new telemetry, reproducibility, traceability) Maintain continuous model & data monitoring (drift, feature stability, prediction quality) Ensure environment consistency via IaC & containerization (Terraform) Requirements Senior Data Engineer + solid MLOps background Azure Databricks (Workflows, Delta Lake, Unity Catalog) PySpark, SQL Warehouses, production-grade pipeline development CI/CD (GitHub Actions / Azure DevOps) Monitoring tools (Lakeview, Grafana), ML observability Data quality, drift detection, ML monitoring Security, access management & compliance in data/ML ecosystems Terraform / IaC

🏢 Summary: Senior Python Data Engineer role focused on building and maintaining scalable data-driven applications and regulatory reporting solutions within an investment banking environment. The position involves developing reliable data pipelines, working with big data technologies, and contributing across the full software development lifecycle in a hybrid work model. 🗂️ Requirements: Bachelor's degree in Computer Science or equivalent IT field, 5+ years of experience in a similar role, Experience with Big Data, Data Warehouse and Data Lake, Hands-on experience building scalable data pipelines, Experience processing high-volume batch and streaming data, Expertise in Databricks, Expertise in Python, Expertise in Spark, Familiarity with Delta Lake, Familiarity with DLT, Familiarity with GitLab, Knowledge of Azure cloud technologies, Knowledge of Unix/Linux, Shell scripting skills, Experience designing high-throughput and low-latency applications, Experience building automated functional testing and CI/CD pipelines, Ability to implement prototypes and iterate using engineering best practices, Hands-on usage of AI in engineering SDLC, English proficiency at B2 level or higher 📃 Skills: Python, Spark, Databricks, Delta, DLT, GitLab, Azure, Unix, Linux, Shell, CI/CD, SQL, PLSQL, PostgreSQL 🏢 Description: We are seeking a hands-on Senior Python Data Engineer to join the Regulatory Reporting team in Poland within the Investment Bank's Digital Operations Stream, working to transform and improve products and platforms relied on by Regulatory and Data Clients. Working from the client's office is required 3 days per week. Responsibilities - Design, implement and maintain new and existing data-driven applications - Develop and deliver solutions end to end - Engineer reliable data pipelines for sourcing, processing, distributing and storing data - Design data models that can support ever-growing volumes - Contribute to all stages of the software development lifecycle - Provide technical expertise, recommendations and innovative solutions - Collaborate with the product owner and other technologists - Share expertise and best practice with colleagues and contribute regularly to the engineering culture Requirements - Hold a Bachelor's degree in Computer Science or equivalent in the IT field with 5+ years of experience in a similar role - Background in Big Data, Data warehouse and Data lake - Showcase of hands-on experience building scalable data pipelines, processing high volume data in batch and stream for near real-time analytics - Expertise in Databricks, Python and Spark - Familiarity with Delta Lake, DLT and GitLab - Knowledge of Cloud technologies such as Azure, Unix/Linux and shell scripting - Expertise designing applications considering NFRs around high throughput and low latency for data processing - Expertise building automated functional testing and CI/CD pipelines using industry standard tools - Capability to quickly implement prototypes and iterate to harden the product with good engineering principles - Hands-on usage of AI in engineering SDLC - English proficiency at B2 level or higher Nice to have - Proficiency in database development including SQL, PL/SQL, PostgreSQL and Azure SQL We offer - Top tech minds driving innovation in AI, cloud and digital platform modernization - Supportive team and agile, startup-like culture - Hybrid by design mode and opportunity to work remotely within Poland - Chance to work abroad for up to 60 days annually - Business-driven relocation opportunities - Career development programs - Thought leadership, mentoring, soft skills and well-being programs - Certification opportunities in Anthropic, Gemini, GCP, Azure and AWS - English classes - Stable pay - Participation in the Employee Stock Purchase Plan with a 15% discount - Benefits package including health insurance, multisport and shopping vouchers - Referral bonuses up to $2,000 - Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more - Corporate, social and well-being events Please note: - Benefits listed above are available to employees only - Terms of B2B cooperation agreements are agreed individually - Only selected candidates will be contacted

🏢 Summary: Senior Big Data Engineer role focused on designing and optimizing large-scale data processing solutions using Spark and Scala within the financial sector. The position involves building resilient data pipelines, supporting production systems, and collaborating in Agile teams to deliver scalable data platforms. Hybrid work model based in Warsaw with up to two remote days per week. 🗂️ Requirements: 3-5 years experience in big data engineering, Strong expertise in Spark, Proficiency in Scala or Java, Knowledge of Python, Experience with DevOps practices, Experience with CI/CD tools, Understanding of microservices architecture, Fluent English, Legal right to work in the European Union 📃 Skills: Spark, Scala, Java, Python, DevOps, CI/CD, Microservices, Airflow, Git, Scrum, BigData 🏢 Description: Empower data-driven innovation — shape the future of financial technology! Warsaw-based opportunity with hybrid work model (up to 2 remote days per week). As a Senior Big Data Engineer (Spark/Scala) , you will be working for our client, a leader in structured finance within the global banking industry. You will contribute to building and optimizing a cutting-edge data platform that supports complex business processes and facilitates collaboration across multiple stakeholders in the finance sector. Join us to drive impactful data solutions that fuel digital transformation and open new avenues for growth. Your main responsibilities: Design and develop solutions for collecting, transforming, and processing large datasets efficiently. Analyze data from multiple sources and translate insights into technical specifications. Implement and industrialize reliable, scalable, and resilient data processing jobs using Spark and Scala. Conduct code reviews and collaborate with team members to ensure continuous improvement. Contribute to agile teams delivering value through Scrum cycles, supporting innovative project delivery. Stay up-to-date with evolving big data technologies and implement best practices. Support applications, troubleshoot production issues, and ensure high quality standards. Produce comprehensive technical documentation, test plans, and project artifacts. You're ideal for this role if you have: 3-5 years of professional experience in big data engineering, ideally within banking or finance. Strong expertise in Spark and Java or Scala, with additional knowledge of Python, DevOps, CI/CD tools, and microservices. Fluency in English (Polish and French are a plus). Analytical mindset with excellent problem-solving skills. Proactive attitude and strong teamwork skills across global teams. Effective communication skills and ability to work across different time zones. It is a strong plus if you have: Knowledge of Airflow, GIT, and modern data architecture strategies. Experience with Agile methodologies and delivering solutions in fast-paced environments. Language Required for the role: Fluent English (required) Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Senior Software Engineer role focused on maintaining and extending a SaaS platform using Scala and Python, with strong emphasis on AI/LLM integrations and backend architecture. The position involves building production-grade backend services, integrating generative AI and transcription tools, and supporting scalable cloud-based systems in an international engineering environment. B2B contract with long-term extension potential. 🗂️ Requirements: 7+ years of backend software engineering experience, Advanced Polish language skills, English at B2/C1 level, Production experience with Scala, Production experience with Python, Ability to maintain dual-language codebases, Knowledge of software architecture, Understanding of clean code principles, Experience with automated testing, Experience with code reviews, Knowledge of version control 📃 Skills: Scala, Python, REST, GenAI, LLM, AWS, Azure, GCP, CI/CD, ElasticSearch, PHP, SaaS, API, Git 🏢 Description: Kim jest H2B Group? Jesteśmy firmą konsultingową, która pomaga klientom w automatyzacji procesów biznesowych przy pomocy AI, a specjalistom IT rozwijać karierę w modelu B2B. Oferujemy projekty z branż takich jak fintech, medtech, edutech czy automatyka przemysłowa. Dzięki ścisłej współpracy wspieramy rozwój naszych klientów poprzez dostarczanie szybkich i mierzalnych efektów, jednocześnie zapewniając specjalistom IT możliwości rozwoju kariery i zdobywania cennego doświadczenia. Dlaczego warto z nami współpracować? ✨ Elastyczność – Wybierasz projekty dopasowane do swoich umiejętności i zainteresowań, z możliwością zmiany w ramach naszej firmy lub grupy Euvic, której jesteśmy częścią. 💡 Przejrzystość – Masz jasne zasady współpracy i pełną transparentność wynagrodzenia oraz warunków. 🚀 Szybkość działania – Dzięki naszej efektywności szybko znajdziesz lub zmienisz projekt, który idealnie odpowiada Twoim kompetencjom. 🌟 Możliwość rozwoju – Pracujesz przy innowacyjnych projektach, rozwijając kluczowe kompetencje i zdobywając cenne doświadczenie. Do projektu naszego klienta poszukujemy osoby na stanowisko Senior Software Engineera (Scala & Python) Join an international engineering team focused on evolving and scaling an established SaaS platform . In this role, you will bridge two ecosystems: maintaining the core infrastructure built in Scala while developing new, advanced features primarily in Python . A key focus of the project is the deployment of cutting-edge AI capabilities , including integrations with external AI/LLM providers, transcription services, and internal machine learning models. Key Responsibilities Hybrid Backend Development: Developing, maintaining, and extending robust backend services using both Scala (existing codebase) and Python (new features). AI & LLM Integrations: Designing and implementing production-ready features driven by Generative AI, integrating external and internal AI platform APIs, LLM providers, and transcription tools. System Architecture: Participating in technical discussions, code reviews, and architectural decisions to ensure system scalability, performance, and security. API & Integration Design: Designing reliable, maintainable REST APIs and seamless integrations between core platform services and external third-party systems. Quality & Automation: Writing clean, well-documented, and thoroughly testable code while supporting modern CI/CD pipelines and automated testing practices. Production Support: Troubleshooting production issues, optimizing performance/costs of AI workloads, and continuously improving platform stability. Requirements Experience: Minimum 7+ years of professional experience in backend software engineering. Languages: Fluent Polish (advanced) AND English at a minimum B2/C1 level (working in an international engineering environment). Technical Ecosystem: Proven production-grade experience with both Scala and Python , along with the ability to navigate and maintain dual-language codebases efficiently. Engineering Practices: Solid understanding of software architecture, clean code principles, automated testing, code reviews, and version control. Nice to Have: GenAI / LLM Experience: Commercial experience integrating LLMs, generative AI APIs, or building workflows around speech-to-text/transcription tools. Cloud & Infrastructure: Hands-on experience with major cloud platforms ( AWS, Azure, or GCP ) and modern CI/CD pipelines. Search & Data: Practical knowledge of ElasticSearch for scalable data querying. Legacy Context: Basic understanding or experience with PHP applications is a plus. SaaS Background: Previous experience building or scaling multi-tenant SaaS products. What We Offer Rate: 100-125 PLN/h Contract Type: B2B Contract. Duration: 6 months with a strong possibility of long-term extension.

🏢 Summary: Senior Python Engineer role focused on building and optimizing an ML-ready portfolio platform, including migration to Azure-native Databricks. The position involves big data processing, ETL development, and performance tuning using Spark and Delta technologies. The engineer will also enhance and secure data pipelines within a cloud-based environment. 🗂️ Requirements: 3+ years of experience with Python, Proficiency in Python ETL tools and processes, Strong experience with FastAPI, Experience with Big Data processing, Experience with Databricks, Experience with Azure cloud environment, Experience with Java Spark, Experience with Delta tables, Experience updating and managing library dependencies for security 📃 Skills: Python, FastAPI, Databricks, Azure, Spark, Java, Delta, ETL, BigData, ML 🏢 Description: We are seeking a Senior Python Engineer with experience in FastAPI and ideally exposure to React UI, for our client, a global leader in banking, investment banking, and financial services. The product is an ML-ready platform for rapid portfolio model development and deployment. It combines data governance, Big Data, and AI — including GenAI capabilities — to boost alpha generation, enhance client services, and ensure regulatory compliance, while improving data quality and cost efficiency. The team is currently migrating from an IaaS Big Data platform to Azure-native Databricks. This position offers a flexible hybrid work model, with 3 days per week working from the office located in Wroclaw. Responsibilities Migrate and optimize data using Databricks optimization techniques Manage big data Tune models for Azure with Java Spark and Delta tables Address vulnerabilities through library version updates Requirements 3+ years of proven experience with Python Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field Proficiency in Python ETL tools and processes, and FastAPI Strong communication and collaboration skills English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Experience and knowledge of React.js We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.