3 warehouse jobs found in Didcot

Senior Data Engineer | Hybrid | Outside IR35 | £475 - £525 | London We are looking for a Senior Data Engineer to join a leading organisation on a contract basis. This role will suit someone with strong experience across the Azure data platform, particularly Databricks and PySpark, who can take ownership of data engineering delivery from design through to implementation. This is a hybrid role requiring the candidate to be on site 2 days per month. You will be working on building and enhancing modern data platforms, delivering scalable data pipelines, and supporting high-volume data processing in a cloud environment. Key Responsibilities Design and build scalable data pipelines using Azure technologies Develop and optimise solutions in Databricks using PySpark Work with large and complex datasets, including streaming and batch data Build and maintain data platforms and data warehouses Implement ETL/ELT processes and data transformation logic Collaborate with stakeholders across...

Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python / Databricks) Contract: 6 months - Potentially extension. Location: London Hybrid (5 days in 10 in the office) Rate: Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives.. This is a hands-on leadership role combining technical delivery, solution design, and data engineering expertise. The successful candidate will lead the delivery of a greenfield data platform while remaining actively involved in development activities. Essential Skills Proven experience in Data Engineering or Software Engineering. Previous experience in a Technical Lead, Lead Data Engineer, or Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows,...

Senior Data Engineer** (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing...