Senior Data Engineer

Data Engineer (Senior) – UK Remote

Package - Competitive (We can look at all levels here)

We are looking for a Senior Data Engineer to help shape and mature our data platform. You will work alongside our existing Data Engineer and collaborate closely with Data Science and Analytics teams to bring structure, best practices, and scalable data engineering design into our environment.

This role is ideal for someone who has helped organisations move from fragmented or legacy data processes to structured, observable, and scalable modern data pipelines.

Key Responsibilities

• Design, build, and maintain production-grade ETL/ELT pipelines to integrate and transform data into a centralised data lake / feature store.
• Assess and enhance our on-premise SQL and data lake environment, introducing standardisation, testing, observability, and automation.
• Collaborate with Data Science and Analytics teams to ensure clean, reliable data supports modelling, reporting, and operational use-cases.
• Implement and maintain orchestration frameworks (e.g., Dagster, Airflow, Prefect).
• Develop and maintain complex data processing systems (e.g., event streaming, usage rating, CDR flows).
• Advocate for good engineering practice: version control, documentation, reproducibility, modularity, and scalability.
• Communicate technical concepts clearly to both technical and non-technical stakeholders.
• Help define “what good looks like” in modern data engineering within the organisation.

About the Environment

• Primarily on-prem, containerised compute workloads.
• Transitioning from legacy workflows to Python-first, modern data engineering.
• Mix of SQL Server databases and distributed or unstructured data sources.
• Strategic direction is the build-out of a Data Lake Feature Store.
• Collaborative data function including a Data Science Manager, Data Scientists, Senior Analysts, and Data Engineering.

What You Bring

• Advanced experience in Python and SQL
• Strong experience building ETL/ELT pipelines and data transformations
• Hands-on experience with orchestration frameworks (Dagster, Airflow, Prefect, dbt)
• Ability to analyse and structure complex datasets
• Strong communication skills with both technical and non-technical colleagues

Desirable

• Experience with Spark, Dask, or Polars
• Experience with containerisation (Docker, Swarm, Kubernetes)
• Additional programming languages (R, PHP, Go)

Qualifications

• Bachelor’s or Master’s in Data Engineering, Computer Science, Applied Mathematics, Physics, or similar technical field.
• 3+ years’ experience in data engineering or similar computational/data-intensive roles.

Note: Ideally, we are looking for someone more Senior/Managerial level, but we can also entertain solid Data Engineering prospects of all levels. If you’re interested to know more apply today for immediate consideration.