Join a growing organisation and take ownership of a greenfield data platform. Design and enhance scalable data architecture, build and maintain ETL and ELT pipelines, and champion engineering best practices. Experience in commercial data engineering, SQL, Python, and cloud technologies is required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Senior Data Engineer (IC)
Location: Remote (Office in London and Wiltshire)
Salary: Up to £90,000 + Benefits
This is an exciting opportunity to join a growing organisation and take ownership of a greenfield data platform. You will play a key role in shaping engineering standards, building scalable pipelines, and enabling the analytics and insight capabilities that will underpin the company’s next stage of growth.
The Company
They are a well established organisation providing essential services across both public and private sectors. Following significant expansion, they are investing heavily in modern data capabilities to improve operational performance and deliver better outcomes for the communities they support. Their technology function is scaling quickly, giving you the opportunity to make a genuine impact in a developing data environment.
The Role
As a Senior Data Engineer, you will have responsibilities for:
- Own the delivery of core data products including pipelines, curated datasets, and models.
- Design and enhance scalable data architecture to improve reliability and performance.
- Build and maintain ETL and ELT pipelines using SQL, Python, and cloud technologies.
- Champion engineering best practices including CI/CD, documentation, and observability.
- Develop trusted datasets and metrics used across analytics and reporting teams.
- Work closely with stakeholders across Data, Product, and Leadership to translate requirements into robust data solutions.
- Support the organisation’s move toward MLOps‑ready platforms and processes.
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Your Skills and Experience
You will be required to have experience in the following tools:
- Strong commercial experience building and maintaining production‑grade ETL and ELT pipelines.
- Advanced SQL and Python skills for modelling, transformation, and optimisation.
- Hands‑on experience with cloud data tooling such as Azure, AWS, or GCP.
- A solid understanding of data engineering principles including quality, reliability, and automation.
- Experience working within modern engineering environments, ideally with CI/CD and containerisation.
- Exposure to orchestration, observability, and analytics engineering is beneficial but not essential.
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What They Offer
- Fully remote working with occasional monthly travel.
- A chance to shape a greenfield data platform in a growing tech function.
- Opportunities for progression across Data Engineering, MLOps, and DevOps practices.
How to Apply
If this sounds like the next step in your data engineering career, please apply with your CV!
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