This is a hands-on role suited to someone who enjoys working across the full data lifecycle — from designing scalable platforms and pipelines to shaping well-structured data models that drive meaningful business insight. You’ll operate in a collaborative, small-team environment, working closely with both technical teams and non-technical stakeholders to turn complex requirements into clear, practical solutions.
What You’ll Be Doing
Designing and delivering robust data models (conceptual, logical, dimensional) for analytics and reporting
Building and optimising data platforms and ETL/ELT pipelines in cloud environments
Ingesting and integrating data from various sources (APIs, databases, flat files)
Translating business needs into scalable, maintainable data solutions
Applying best practices across data governance, quality, and security
Working directly with clients, explaining technical concepts in a clear, accessible way
Supporting junior team members and contributing to knowledge sharingRequirements
Around 5 experience in data engineering or data consultancy
Strong experience with data modelling, ideally dimensional (e.g. Kimball)
Proven ability to design solutions that support analytics and decision-making
Solid coding skills in SQL and Python (Spark/SQL variants beneficial)
Experience with cloud data platforms (Azure, Databricks, Snowflake, or similar)
Understanding of modern data architectures (e.g. medallion/lakehouse approaches)
Exposure to Agile delivery and collaborative, cross-functional teams
Confident communicator with strong stakeholder engagement skills
If this is a role that suits your skillset, you can work to a hybrid model in London and available within 2 weeks then apply for the role directly or send me your CV to (url removed).
Senior Data Engineer / Modeller | London | Outside IR35 | £400 - £500 | Hybrid
Salary description
£400.00 - £500.00 per day