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Senior data engineer

St Albans
La Fosse
Data engineer
Posted: 17 November
Offer description

Senior Data Engineer – Hybrid (Hertfordshire, 1 day/week)

Salary: £65,000–£75,000 + 10% discretionary bonus


We’re partnering with a Private Equity–backed FMCG company. They are looking for a technically strong Senior Data Engineer to help shape and scale their data platform.


The Role:

You’ll play a key role in designing, building, and optimising data pipelines and platforms that support analytics and business decision-making. Working closely with data analysts and cross-functional teams, you’ll ensure data is accurate, timely, and accessible.


Key Responsibilities:

* Design, build, and maintain scalable ELT pipelines and transformation processes
* Mix of architecture, design, build, and execution, must be hands-on and able to wear multiple hats.
* Optimise data warehouse performance, including partitioning, clustering, and query tuning
* Implement data quality frameworks, monitoring, and governance standards
* Build API integrations, webhooks, and automate data workflows
* Support BI tools and analytics teams with reliable, well-modelled data
* Maintain documentation, contribute to architectural decisions, and drive best practices


Essential Requirements:

* Strong SQL skills and experience with modern cloud data warehouses (Snowflake preferred)
* ELT pipeline development and modern data stack understanding
* Solid software engineering practices (Git, testing, CI/CD)
* Own pipeline health, monitoring, and optimisations.
* API integration experience (REST APIs, webhooks, JSON, CSV, etc.)
* Strong understanding of data governance, lineage, and access control
* Experience with AWS, Azure, or GCP
* Ability to work autonomously and make strong technical decisions


Desirable Skills:

* dbt
* Python
* PostgreSQL or similar relational databases
* BI tools (QuickSight, Tableau, etc.)
* Reverse ETL, ML pipeline support, agile environment experience


About You:

You’re a technically strong data engineer who enjoys both hands-on implementation and the broader architectural picture. You take ownership, collaborate effectively, and build scalable, maintainable data systems. You’re proactive, communicative, and passionate about enabling data-driven decision making.

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