London, United Kingdom
Permanent
£60k to £80k
TD4301
Full Time
Hybrid
We’re seeking a hands-on Lead Data Engineer to drive complex, enterprise-level data migration projects across multi-cloud platforms, within a consulting company.
If you thrive working with cutting-edge technologies, value flexible work, and enjoy leading migration-first initiatives – we’d like to hear from you.
Why Apply?
Flexible hybrid working (2–3 days per week in their London office)
Key Responsibilities for the Lead Data Engineer:
– Lead and execute end-to-end data migration projects across Azure, AWS, and Google Cloud Platform (GCP)
– Architect, build, and maintain robust data pipelines using Apache Airflow and PySpark
– Collaborate with cross-functional teams to design scalable ETL solutions with Databricks, Python, and SQL
– Develop, integrate, and support APIs, RESTful services, and microservice architectures
– Advise stakeholders on cloud data best practices, security, compliance, and performance optimisations
As the Lead Data Engineer, you should have the following:
– Proven experience as a Data Engineer, with significant exposure to large-scale, multi-cloud data migration
– Expert in Apache Airflow and PySpark (essential)
– Proven success in migrating and integrating data across Azure, AWS, and GCP
– Advanced knowledge of Python, SQL, ETL pipelines, and Databricks
– Experience developing with APIs, REST, and microservices architectures
– Strong communicator who thrives in a collaborative, hybrid work environment
– Solution-focussed, innovative, and delivery-driven mindset
– British Citizenship or ILR status is required (no sponsorship available)
Experience mentoring and coaching junior engineers.
Relevant certification(s) in Microsoft, AWS, or GCP
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