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# Senior Data Engineer

- **Company:** Future plc
- **Location:** Bath, UK
- **Experience:** Expert
- **Salary:** £50,000.0 - £60,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, BigQuery, Cloud Computing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Data Warehousing, Database Development, Data Flow Control, Python (Programming Language), Google Cloud, Data Storage Technologies, Data Management, Data Pipelines, Apache Beam
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840674731-senior-data-engineer

## About the Role

Are you ready to contribute to the evolution of our data pipelines for our B2B and Go.Compare divisions? At Future, we are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us. This is an exciting opportunity for someone who excels in a creative environment, enjoys solving complex data challenges, and is eager to build impactful business insights. You will directly report into the Head of Data Engineering., * Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure.

 * SQL development skills.
 * Experience using Dataform or dbt.
 * Demonstrated strength in data modelling, ETL development, and data warehousing.
 * Knowledge of data management fundamentals and data storage principles.
 * Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems.

## Description

* Develop and maintain new/current features of the data platform.
 * Responsible for delivery of development projects, including scoping, writing and sizing of stories involved.
 * Take ownership of BAU processes, develop area-specific domain mastery, and seek means to automate them or reduce their impact. Propose and advocate for changes to reduce risk, cost and overhead.
 * Provide appropriate documentation for pipelines developed.
 * Parameterise pipelines so configuration can be changed easily without having to perform deep changes to the codebase.
 * Apply appropriate testing principles to ensure code is fit for purpose.


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