9 of 9 Remote PySpark Jobs in the Thames Valley

working in cloud-native environments (AWS preferred) Strong proficiency with Python and SQL Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding More ❯

similar tools is valuable (Collibra, Informatica Data Quality/MDM/Axon etc.) Data Architecture experience is a bonus Python, Scala, Databricks Spark and Pyspark with Data Engineering skills Ownership and ability to drive implementation/solution design More ❯

Collaborate across technical and non-technical teams Troubleshoot issues and support wider team adoption of the platform What You’ll Bring: Proficiency in Python, PySpark, Spark SQL or Java Experience with cloud tools (Lambda, S3, EKS, IAM) Knowledge of Docker, Terraform, GitHub Actions Understanding of data quality frameworks Strong More ❯

in programming languages and data structures such as SAS, Python, R, SQL is key. With Python background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in any or all More ❯

effectiveness, including Azure DevOps. Considerable experience designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc. Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use. Strong More ❯

following areas: Data Warehousing (Databricks) Data Modelling (Medallion Arch, Facts/Dimensions) Azure Data Stack (DataFactory/Synapse) Visualisation (PowerBI) Coding Best Practice (Python, PySpark) Real-Time Processing (SQL) Insurance/Finance Experience Startup experience Leadership/Line Management experience. What’s in it for you? Remote First Working More ❯

Senior Data Engineer 💰 £90,000-£100,000 + 10% bonus 🖥️ Databricks, Snowflake, Terraform, Pyspark, Azure 🌍 London, hybrid working (2 days in office) 🏠 Leading property data & risk software company We are partnered with an industry-leading property data and risk software company, helping businesses in the UK make better decisions. … are experienced with Databricks and Lakehouse architecture for efficient data management. You are experienced building and optimising data pipelines and have strong SQL and PySpark skills. You have a strong understanding of the Azure stack. You have experience with devops practices and infrastructure-as-code, preferably Terraform. You have … membership Gym on-site Cycle to work and electric car schemes Senior Data Engineer 💰 £90,000-£100,000 + 10% bonus 🖥️ Databricks, Snowflake, Terraform, Pyspark, Azure 🌍 London, hybrid working (2 days in office) 🏠 Leading property data & risk software company More ❯

Hiring: SC Cleared Data Engineer | Public Sector | Hybrid London Are you a Data Engineer with active SC Clearance and strong experience in Python and PySpark ? Join a dynamic and growing consultancy that partners with government and public sector organisations to deliver cutting- edge architecture and programme solutions. Role Overview … travel as needed) Sector: Public Sector/Consultancy Salary: Competitive (based on experience) Key Skills: SC Clearance (active) Strong Python programming Proven experience with PySpark and data pipelines Ready for a new challenge? If you're looking to take your data engineering career to the next level and work More ❯

with data governance policies, industry regulations, and best practices to protect data privacy and security. Innovation: Stay up-to date with the latest Databricks, PySpark, and PowerBi features and industry trends to continuously improve data capabilities ensuring relevance to a Cyber Security Value Added Distributor Qualification:- Education: Bachelor's … of experience in data management, analytics, data architecture, and AI, with at least 5 years in a leadership role. Technical Skills: Proficiency in Databricks, PySpark, Knowledge Graphs, Neo4J (Graph database and analytics), Power BI, SSRS, Azure Data Factory, and AI technologies. Strong understanding of data architecture, ETL processes, and More ❯