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Senior Data Engineer

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Onsite

Senior Data Engineer

Dabster

Senior Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonAIdbt

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

England, UK

Work mode:

Onsite

Published on:

23 September 2026

What they need


Work location : Bristol or Manchester

Job type : Contract position

Work mode : Hybrid

Job Description :

Role Overview

We are looking for experienced Senior Data Engineers to join feature teams building and productionising cloud-based data products, including work on Master Data Management (MDM) integration and real-time data patterns. This is a delivery-focused, hands-on role for engineers who are comfortable owning a data product end-to-end rather than working on isolated tickets.

Key Responsibilities

  1. Design, build and deploy data products on a cloud-based platform using modern ELT/ETL patterns.
  2. Write and maintain dbt models, Python pipelines and SQL transformations to a production standard.
  3. Contribute to MDM integration and implementation activities, including bespoke and commercial off-the-shelf (COTS) MDM solutions.
  4. Design and implement real-time data product patterns where required.
  5. Build and maintain automated testing, data validation and quality checks.
  6. Apply AI-enabled tooling and approaches to speed up development and testing.
  7. Work within existing delivery, architecture, security and governance standards.
  8. Support deployment, go-live and post-go-live stabilisation activities (DevOps practices).

Required Skills & Experience

  1. Strong hands-on experience with GCP or a comparable cloud data engineering platform.
  2. Advanced practical experience with dbt, Python and SQL.
  3. Solid data modelling and ETL/ELT design skills.
  4. Experience delivering data products end-to-end, not just individual pipeline components.
  5. Exposure to MDM concepts and/or integration work is a strong plus.
  6. Experience with testing frameworks and data quality/validation practices.
  7. Comfortable working within DevOps/CI-CD delivery models.
  8. Ready to mobilise quickly; academic-only or purely theoretical profiles will not be considered.

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