Data Team Lead

Data Engineer Lead (Hybrid, London) – 6-Month Contract

Rate: £700 per day (via Umbrella)

Location: London (Hybrid: 2–3 days per week onsite)

Contract Length: 6 months

Are you a hands-on data engineering leader ready to take ownership of a modern cloud data platform? We are seeking a Data Engineer Lead to design, build, and optimise enterprise-scale data solutions, focusing on Databricks and cloud-based engineering. You’ll lead the migration of legacy Oracle systems to a scalable, cloud-native environment, ensuring high-quality pipelines and models that support analytics, regulatory reporting, and business decision-making.

Key Responsibilities

• Lead the design and development of Data Marts and pipelines using Databricks (SQL/Python).
• Manage migration from Oracle databases to cloud-native platforms, including data model redesign and automated ETL/ELT frameworks.
• Provide technical leadership, mentoring, and coaching to data engineers.
• Collaborate with cross-functional teams including Architecture, DevOps, Analytics, and Finance.
• Ensure engineering best practices, including CI/CD, version control, orchestration, and governance.
• Drive continuous improvement in automation, monitoring, and platform performance.

Essential Requirements

• Strong expertise in Databricks, cloud data platforms, and data lakehouse principles.
• Deep knowledge of data modelling, data integration patterns, and ETL/ELT best practices.
• Hands-on experience with SQL and Python (or other programming languages).
• Proven experience leading data engineering teams and delivering enterprise-scale solutions.
• Experience migrating data from legacy systems (Oracle or similar) to cloud environments.
• Strong analytical, problem-solving, and communication skills with the ability to explain technical concepts to non-technical stakeholders.

Desirable

• Relevant cloud or Databricks certifications (e.g., Azure Data Engineer, Databricks Data Engineer Associate/Professional).
• Experience in regulated or data-intensive industries.
• Knowledge of MDM, metadata management, lineage, and data governance practices.

Personal Attributes

• Proactive, solution-focused, and resilient in fast-paced environments.
• Collaborative with strong leadership presence and a curiosity for innovation.
• Motivated to contribute strategically through data insights and system improvements.

This role offers the opportunity to make a tangible impact on a modern data platform, shaping the future of cloud data engineering in a collaborative and innovative environment.

Apply now to lead the transformation of enterprise data systems and drive engineering excellence.