5 of 5 Contract Spark SQL Jobs in London

data services across the organisation. Key Responsibilities Design, build, and maintain data pipelines using Databricks Develop ETL/ELT processes with PySpark and Spark SQL Transform and model structured and semi-structured datasets Improve performance, reliability, and cost efficiency of data workloads Ensure compliance with data … routes Required Skills & Experience Active SC Clearance - mandatory and non-negotiable Strong hands-on experience with Databricks in production environments Expert knowledge of Apache Spark , including PySpark and Spark SQL Proficiency with Python for data engineering Experience delivering solutions on cloud data platforms ...

experience required Strong experience in data engineering Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema ...

building data pipelines in production environments. Proficiency with Microsoft Fabric, including Data Factory, lakehouses, warehouses, notebooks and semantic models. Strong skills in PySpark, Spark SQL and T-SQL for data transformation. Experience with medallion architecture or equivalent layered data processing patterns. Working knowledge ...

Your new company One of the most influential Central Government Organisations in the current economic climate Your new role Data Scientist - SC Cleared - SQL, Python & R What you'll need to succeed My client is looking for an Analytical Data Scientist, leading/working alongside a team … Existing SC or DV Clearance. Essential Criteria: Experience of delivering high-quality coding projects that make use of at least two of: SQL, Python & R Experience of engaging with stakeholders across government to scope and deliver impactful analysis Experience of leading teams through complex data science projects ...

SAS2PY) and manual refactoring. Pipeline Engineering: Design, build, and troubleshoot complex ETL/ELT workflows and data marts on AWS. Performance Tuning: Optimise Spark workloads for execution efficiency, partitioning, and cost-effectiveness. Quality Assurance: Implement clean coding principles, modular design, and robust unit/comparative testing to ensure …/CD integration, and comprehensive technical documentation. Technical Requirements PySpark (P3): 5+ years of hands-on experience writing scalable, production-grade PySpark/Spark SQL. AWS Data Stack (P3): Strong proficiency in EMR, Glue, S3, Athena, and Glue Workflows. SAS Knowledge (P1): Solid foundation in SAS to enable ...