Senior Data Engineer

Xcede
London, England
5 months ago
Applications closed

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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

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Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.