Senior Data Engineer
London - Hybrid with two office days per week
Up to 85k
I am supporting a major technology led organisation that is investing heavily in modernising its data platform and building next generation analytics capabilities. They are scaling their data function and are looking for a Senior Data Engineer to join the team as they kick off a large migration and modernisation programme.
The role sits within a high impact area of the business working on sustainability, risk, fraud and broader operational analytics. You will work closely with stakeholders and a collaborative engineering team to deliver scalable, reliable data solutions that underpin key business decisions.
What you will be doing:
• Designing and developing cloud based data pipelines and warehouse solutions
• Supporting a major data migration and helping shape a future lakehouse architecture
• Building and optimising ETL and ELT workflows using modern tooling
• Working with real time data pipelines and streaming technologies including Kafka
• Working with cross functional teams to translate requirements into technical designs
• Improving engineering processes through automation, testing, CI and CD
• Contributing to early stage initiatives and POCs and presenting findings to technical leadership
• Maintaining and supporting data products with a focus on long term reliability
What they are looking for:
• Strong experience in data engineering and cloud based data platforms
• Experience with AWS services such as S3, Redshift and Lambda is ideal, but open to cloud agnostic and Azure backgrounds with lakehouse expertise
• Hands on experience with Airflow, dbt and Kafka
• Strong understanding of software engineering principles, automation and CI and CD
• Experience working on data migrations or modernising legacy systems
• Ability to explain clearly what you have built and the impact it delivered
• Strong communication and stakeholder skills