Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
750
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πŸ—“οΈ - Date discovered
September 16, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Outside IR35
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Birmingham, England, United Kingdom
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🧠 - Skills detailed
#Spark (Apache Spark) #Databricks #Data Pipeline #Synapse #PySpark #Documentation #Leadership #SQL (Structured Query Language) #Data Engineering #Migration #Azure #DevOps
Role description
Lead Data Engineer (Databricks) Remote (occasional travel to Birmingham) Β£650 - Β£750 per day depending on experience 6 months initially (extension likely) ASAP start (2-week onboarding) About the Role We are seeking a Lead Data Engineer to join our client and play a key role in their enterprise Data & Insights Platform. This platform is central to how the business manages and reports on critical data assets across asset management, finance, and investment. The environment is Azure-based, with a hybrid of legacy Synapse pipelines and new Databricks solutions. The successful candidate will take ownership of engineering practices, pipeline development, and lead a small, mixed team of data engineers (including offshore). Key Responsibilities β€’ Lead the Data Engineering team (c.5 people), setting technical direction. β€’ Design, build, and optimise data pipelines end-to-end β€’ Support migration from Synapse to Databricks. β€’ Ensure best practice in documentation, configuration management, and use of Unity Catalog. β€’ Act as a hands-on engineer (SQL & PySpark) while also leading delivery. β€’ Collaborate closely with programme management and wider stakeholders. Essential Skills β€’ Extensive Databricks engineering experience β€’ Strong PySQL & PySpark in a Databricks environment. β€’ Hands-on pipeline development and data modelling experience. β€’ Capable of reviewing code and enforcing standards, naming conventions etc β€’ Experience of optimisation / cost control β€’ Track record of technical leadership within small/mid-sized teams. β€’ Excellent communication skills with the ability to explain complex solutions to non-technical stakeholders. Desirable β€’ Previous experience in regulated industries (utilities, energy, financial services). β€’ Databricks Certified Professional β€’ Strong DevOps knowledge within data engineering environments. Why Join? β€’ Influence and lead a strategic enterprise data platform. β€’ Long-term project with funding in place and strong likelihood of extension. β€’ Collaborative environment, flexible working, and impactful role. To apply, please click apply now.