Senior Data Engineer

Senior Data Engineer

Posted Today by Ventula Consulting

£75 Per hour
Outside
Hybrid
London Area, United Kingdom

Summary: Experienced Senior Data Engineer needed for a six-month contract in London, focusing on the design, build, and delivery of enterprise-scale data platform solutions. This hands-on role involves technical leadership, building core platform components, and ensuring engineering standards are maintained across the data engineering team. The candidate will lead the design and delivery of data pipelines and models, collaborating with various teams to produce high-quality, scalable data products. Expertise in Databricks and modern lakehouse architectures is essential for success in this position.

Key Responsibilities:

  • Design, build, and deliver enterprise-scale data platform solutions.
  • Lead the technical design and delivery of data pipelines, transformations, and data models.
  • Ensure outputs are scalable, reliable, and fit for consumption as governed data products.
  • Collaborate with data consultants, architects, governance teams, and integration engineers.
  • Provide leadership, mentorship, and best practice guidance to Data Engineers.
  • Implement data quality rules, validation frameworks, and testing patterns across data pipelines.
  • Conduct code reviews and define engineering standards.
  • Manage stakeholder relationships across engineering, architecture, governance, and product teams.

Key Skills:

  • 6–10+ years’ experience in data engineering with technical leadership responsibilities.
  • Strong SQL skills and extensive experience building ETL/ELT pipelines at scale.
  • Hands-on expertise with Databricks, including Autoloader, Delta Live Tables, Delta Lake, and Unity Catalog.
  • Experience designing and implementing lakehouse and medallion architecture patterns.
  • Strong data modelling experience, including dimensional modelling and SCD Type 2 handling.
  • Ability to implement data quality rules and performance tuning of pipelines.
  • Strong understanding of data governance and regulated data environments.
  • Experience with API-backed data products and analytics solutions.

Salary (Rate): £600 p/d

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

Senior Data Engineer – 6 months – London, Hybrid - £600 p/d (Outside IR35) Experienced Senior Data Engineer required to join our client on an initial six-month contract to support the design, build, and delivery of enterprise-scale data platform solutions. This is a hands-on technical leadership role responsible for building core platform components while setting and maintaining engineering standards across the wider data engineering team. The successful candidate will lead the technical design and delivery of data pipelines, transformations, and data models across the platform, ensuring outputs are scalable, reliable, and fit for consumption as governed data products. You will work closely with data consultants, architects, governance teams, and integration engineers to deliver high-quality, production-ready solutions within a modern cloud-based data environment. This role requires strong technical expertise across Databricks and modern lakehouse architectures, alongside the ability to provide leadership, mentorship, and best practice guidance to Data Engineers within the squad.

Key Requirements • 6–10+ years’ experience in data engineering, including technical leadership responsibilities • Strong SQL skills and extensive experience building ETL/ELT pipelines at scale • Hands-on expertise with Databricks, including Autoloader, Delta Live Tables, Delta Lake, and Unity Catalog • Strong experience designing and implementing lakehouse and medallion architecture patterns • Strong data modelling experience, including dimensional modelling, entity-based models, and SCD Type 2 handling • Experience designing and building scalable data ingestion, transformation, and serving pipelines • Ability to implement data quality rules, validation frameworks, and testing patterns across data pipelines • Experience performance tuning pipelines, including partitioning, latency optimisation, and compute efficiency • Strong understanding of data governance, access control, and regulated data environments • Experience contributing to or building API-backed data products and analytics solutions • Proven ability to define engineering standards, conduct code reviews, and mentor engineering teams • Strong stakeholder management skills with the ability to work across engineering, architecture, governance, and product teams

Location : London (Hybrid, travel to office when required) Day rate : £600 p/d (Outside IR35) Duration : 6-months