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Senior Data Engineer - DV Clearance (Secure Cloud)
Contract senior data engineer role in London supporting a secure UK programme: hands-on building of scalable data solutions in tightly controlled cloud environments. Core stack is Python, SQL, PySpark/Apache Spark, Databricks, and AWS/Azure; active UK DV clearance is mandatory.
Senior Data Engineer — Hybrid (London) with Databricks & BI
Senior Data Engineer, hybrid in London, £80,000–£85,000 plus bonus. Day to day: rebuild and enhance the Databricks platform, transform data, and deliver solutions with Python, SQL and PySpark while engaging senior stakeholders and collaborating with Finance, Pricing, Regulatory and Compliance teams.
Senior Data Engineer - Python, Spark & Databricks (Hybrid)
Senior Data Engineer on a hybrid contract in London's banking sector, doing hands-on work to design, build and optimise scalable data pipelines and analytics platforms using Python, Databricks, Spark/PySpark and SQL in a modern cloud environment, collaborating with architects, engineers and stakeholders.
Senior Data Engineer - Databricks & Azure Lead (Hybrid)
Canopius is hiring a senior data engineer in Manchester (hybrid) to lead a small team extending and maintaining its Azure data ecosystem — building scalable Databricks pipelines with PySpark and Spark SQL, mentoring juniors, guiding data strategy, and migrating legacy processes.
Junior Data Engineer - Azure & Databricks, Remote Growth Path
Designs and maintains enterprise-grade data pipelines on Azure and Databricks for global clients, working with large-scale datasets in a cloud-native environment using Python/PySpark. Remote-first with flexible hours; open to junior+ and mid-level engineers.
Cloud Data Engineer: AI‑Driven Data Platforms | Hybrid Work
PwC Polska is hiring a Cloud Data Engineer in Warsaw (hybrid) to support clients' moves to the cloud, design data architecture, and run data migrations. Day to day involves building data warehouses/lakes with Python, PySpark, and SQL, plus CI/CD for data pipelines; AI/Data Science experience is a plus.
Data Engineer with Microsoft Azure (f/m/x)
Data Engineer in Sii Polska's Data & Analytics competency center, designing scalable data platforms and building/maintaining ETL/ELT pipelines on Microsoft Azure (Databricks, Data Factory, Synapse, Fabric). Needs 4+ years of data engineering experience, strong SQL/Python, Spark, and fluent Polish.
Senior Data Engineer: Build Trusted Global Analytics
Data engineer at InPost Group in Kraków building and maintaining data pipelines and models in Databricks (PySpark, SQL, Delta tables), ensuring data quality to support analytics, reporting, and product teams in a global environment.
Insurance Data Engineer: Azure Fabric & PySpark
Data engineer on an insurance project: designs data pipelines in Azure Data Factory and PySpark on Microsoft Fabric, integrates data sources, and validates data quality and security. Core stack: Python, PySpark, SQL, Git, cloud platforms, and medallion architecture.
Data Engineer (DBX,dbt), Regular
Data Engineer (regular level) building a Central Data Platform for a large global insurance client: designing end-to-end ETL/ELT pipelines and ML training datasets on Databricks, dbt, dltHub and Azure Cloud. Hybrid role based out of Webellian's Warsaw office with rare on-site days.
Senior Microsoft Fabric Data Engineer
Part-time, fully remote senior data engineering role developing an existing Microsoft Fabric data platform for a client: integrating SAP/Excel/iTrack data sources, building ETL/ELT pipelines with Bronze/Silver/Gold layers, and designing a semantic model for business KPI reporting. Core stack: Microsoft Fabric, SQL, PySpark, Power BI, DAX.
Hybrid Cloud Data Engineer: Data Lakehouse & AI
Cloud data engineer at PwC in Kraków building data platforms, defining data flows, and designing legacy-system migrations, with a focus on pipelines, governance, quality, and scalability. Core stack: Microsoft Fabric, Databricks, Azure Data Factory, and Azure Synapse, using Python (PySpark) and SQL.
Azure Data Engineer: Data Lake, ETL & Spark
Data engineer at Sii Polska's Data & Analytics Competency Center, building data lake, ETL, and Big Data/ML solutions on Microsoft Azure (Databricks, Data Factory, Synapse, Fabric). Requires 4+ years of experience, strong SQL and Python, Spark/PySpark practice, fluent Polish, and English communication.
Data engineer in insurance
Data Engineer at Astek Group serving an insurance-industry client in Warsaw: builds batch pipelines with Azure Data Factory, PySpark and Microsoft Fabric, onboards data sources, adds data-quality checks and versioning, and works with Git-based CI/CD and security compliance. Needs 3+ years of data engineering experience; pays PLN 900–1,200 net per day.
Cloud data engineer
Cloud data engineer in PwC Poland's Cloud & Digital consulting team: builds client data platforms, warehouses, lakes and lakehouses on Azure (Databricks, MS Fabric, Azure Data Factory), designs legacy data migrations, and supports data governance and quality. Core stack: Azure, Python/PySpark, SQL, Azure DevOps.
Senior Data Engineer - AML & Data Pipelines
Senior data engineer in Warsaw building and optimizing data pipelines that power AML detection in capital markets, including detection logic, rule frameworks, and scoring components. Core stack: Python/Java/Scala, Apache Spark (PySpark), SQL, Quantexa, and CI/CD tooling.
Junior Analytics Engineer: Data Pipelines & Snowflake
Data Engineer in NTT DATA's Data & AI practice, designing and building modern cloud data platforms for enterprise clients: scalable pipelines, ELT/ETL, lakehouse and warehouse solutions, data models, and governance. Core stack is Microsoft Azure and Microsoft Fabric with SQL, Python/PySpark; Snowflake is a desirable skill.