10 of 10 Contract Delta Lake Jobs in London

and optimise Spark-based data pipelines for batch and streaming workloads Develop Fabric dataflows, pipelines, and semantic models Implement complex transformations, joins, aggregations and performance tuning Build and optimise Delta Lake/delta tables Develop secure data solutions including role-based access, data masking and compliance controls Implement data validation, cleansing, profiling and documentation Work closely with … on experience with PySpark, Spark SQL, Spark Streaming, DataFrames Microsoft Fabric (Fabric Spark jobs, dataflows, pipelines, semantic models) Azure: ADLS, cloud data engineering, notebooks Python programming; Java exposure beneficial Delta Lake/Delta table optimisation experience Git/GitLab, CI/CD pipelines, DevOps practices Strong troubleshooting and problem-solving ability Experience with lakehouse architectures, ETL workflows … and distributed computing Familiarity with time-series, market data, transactional data or risk metrics Nice to Have Power BI dataset preparation OneLake, Azure Data Lake, Kubernetes, Docker Knowledge of financial regulations (GDPR, SOX) Details Location: London (office-based) Type: Contract Duration: 6 months Start: ASAP Rate: Market rates If you are a PySpark/Fabric/Azure Data Engineer More ❯

to capture Cloud + Databricks needs. Define security, compliance, downtime tolerance, RPO/RTO, SLAs, and cost requirements. Capture data platform requirements across ingestion, transformation, governance, and analytics (Databricks, Delta Lake, Unity Catalog, Workflows). Map service and data dependencies, classify criticality, and align to the Core Cloud capability catalogue. Produce a clear, endorsed baseline of Core Cloud … BA within cloud or data platform programmes (Azure + Databricks ideal). Experience working with AWS tech stack Strong experience gathering technical, data, and platform requirements. Understanding of Databricks (Delta Lake, Unity Catalog, governance, clusters, pipelines). Comfortable engaging technical and non-technical stakeholders; strong documentation skills. Nice to Have: Data platform migration experience; exposure to FinOps; agile More ❯

architectures on Azure, enabling advanced analytics and data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricksworkflows Implement … tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key More ❯

architectures on Azure, enabling advanced analytics and data-driven decision making across the business. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Azure Databricks, PySpark, and Delta Lake. Build and optimise data lakehouse architectures on Azure Data Lake Storage ( ADLS ) . Develop high-performance data solutions using Azure Synapse, Azure Data Factory, and Databricks workflows … tools like Terraform, GitHub Actions, or Azure DevOps Required Skills & Experience 3+ years' experience as a Data Engineer working in Azure environments. Strong hands-on experience with Databricks (PySpark, Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key More ❯

methodologies that enhance efficiency, scalability, and cost optimisation Essential Skills for the Senior Data Engineer: Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines Advanced knowledge of SQL and More ❯

Develop complex transformations and processing logic using Spark (PySpark/Scala) for cleaning, enrichment, and aggregation, ensuring accuracy and consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from relational databases More ❯

Develop complex transformations and processing logic using Spark (PySpark/Scala) for cleaning, enrichment, and aggregation, ensuring accuracy and consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from relational databases More ❯

sources (APIs, databases, files) into Azure Databricks. Implement data cleaning, validation, and enrichment using Spark (PySpark/Scala) and related tools to ensure quality and consistency. Utilize Unity Catalog, Delta Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from multiple sources and formats (CSV … JSON, Parquet, Delta) for downstream analytics, dashboards, and reporting. Apply Azure Purview for governance and quality checks. Monitor pipelines, resolve issues, and enhance data quality processes. Work closely with engineers, data scientists, and stakeholders. Participate in code reviews and clearly communicate technical concepts. Develop CI/CD pipelines for deployments and automate data engineering workflows using DevOps principles. Interested More ❯

sources (APIs, databases, files) into Azure Databricks. Implement data cleaning, validation, and enrichment using Spark (PySpark/Scala) and related tools to ensure quality and consistency. Utilize Unity Catalog, Delta Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from multiple sources and formats (CSV … JSON, Parquet, Delta) for downstream analytics, dashboards, and reporting. Apply Azure Purview for governance and quality checks. Monitor pipelines, resolve issues, and enhance data quality processes. Work closely with engineers, data scientists, and stakeholders. Participate in code reviews and clearly communicate technical concepts. Develop CI/CD pipelines for deployments and automate data engineering workflows using DevOps principles. Interested More ❯

practices in data governance, security, and compliance. Key Skills & Experience* Proven experience as an Azure Data Engineer.* Strong hands-on expertise with Databricks - 5+ years experience (PySpark, notebooks, clusters, Delta Lake).* Solid knowledge of Azure services (Data Lake, Synapse, Data Factory, Event Hub).* Experience working with DevOps teams and CI/CD pipelines.* Ability to More ❯