Senior Data Engineer (Python & Databricks)

🏢 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 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: 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.

🏢 Summary: Senior Python Engineer role focused on building and optimizing an ML-ready data platform for portfolio model development. The position involves migrating Big Data workloads to Azure-native Databricks, optimizing data processing, and tuning models using Spark and Delta tables. Hybrid work model with significant involvement in cloud-based data engineering and platform optimization. 🗂️ Requirements: 3+ years of experience with Python, Bachelor’s or Master’s degree in Computer Science, IT or related field, Proficiency in Python ETL tools and processes, Experience with FastAPI, Experience with Big Data platforms, Experience migrating and optimizing workloads in Databricks, Experience tuning models using Spark and Delta tables, Ability to manage and optimize data in Azure environment, Experience updating libraries and resolving security vulnerabilities 📃 Skills: Python, FastAPI, Databricks, Azure, Spark, Java, Delta, ETL, BigData 🏢 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 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.

🏢 Summary: Senior Python Engineer role focused on building and optimizing an ML-ready portfolio platform using FastAPI, Databricks, and Azure technologies in the financial services domain. The position involves big data migration, model tuning, and data optimization while supporting AI and GenAI capabilities. Hybrid work model with growth opportunities, certifications, and comprehensive benefits. 🗂️ Requirements: 3+ years of experience with Python, Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field, Proficiency with Python ETL tools and processes, Experience with FastAPI, Experience managing and optimizing big data, Strong communication and collaboration skills, English proficiency at B2 level or higher 📃 Skills: Python, FastAPI, Databricks, Azure, Spark, Java, Delta, ETL, React, GenAI 🏢 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 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.

🏢 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: 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 Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .