Senior Data Engineer

Mid-Senior Data Engineer | £85,000 – £110,000 + Bonus | Hybrid, London

Retelligence are partnering with a data-driven organization in London to hire a Mid-Senior Data Engineer into a growing data function. This is a hands-on role for someone who has worked across the whole data lifecycle, from ingestion through to modelled, analytics-ready data, and wants real ownership of how the platform is designed and built.

The Package

• Annual bonus with a generous multiplier scheme
• Permanent position (contractors looking to move into a permanent role are very welcome to apply)
• Hybrid working from a London office

The Role

You'll be involved in every part of data engineering, not just one corner of it. That includes:

• Designing, building and maintaining reliable batch and streaming pipelines from a wide range of internal and external sources
• Developing and optimizing the cloud data warehouse, making sure it is performant, cost-efficient and scalable
• Shaping the data architecture, including layered approaches such as medallion (bronze, silver, gold) and lakehouse patterns
• Data modelling for analytics and reporting, using dimensional / Kimball-style models, star schemas and well-structured transformation layers
• Orchestrating workflows and building in monitoring, alerting, testing and data quality checks - Applying engineering best practice through version control, CI/CD, infrastructure as code and code review
• Working closely with analysts, data scientists and business stakeholders to turn requirements into trusted data products
• Contributing to technical decisions and helping to raise standards across the team

What We're Looking For

• Proven end-to-end data engineering experience covering pipelines, warehousing, architecture and modelling
• Strong Python for building and maintaining data pipelines and tooling
• Strong, advanced SQL, including performance tuning and complex transformations
• Hands‑on experience with a modern cloud data warehouse, ideally BigQuery (Snowflake, Redshift, Synapse or Databricks also considered)
• Experience with orchestration and transformation tools such as Airflow / Cloud Composer, Dagster, dbt or Dataform
• Familiarity with ingestion and processing tools such as Pub/Sub, Kafka, Dataflow / Apache Beam or Spark
• Cloud experience, ideally including GCP. Multi‑cloud backgrounds are welcome, so if most of your experience is on AWS and/or Azure with some GCP exposure, we’d still love to hear from you - Experience with Git, CI/CD and infrastructure as code (e.g. Terraform)
• A clear communicator who can explain technical trade‑offs to non-technical stakeholders

Nice to Have

• Data governance, cataloguing and lineage tooling
• Docker and containerised workloads
• Experience mentoring or supporting more junior engineers