Quick Summary
Pipeline engineering: Design, build and maintain robust, production-grade data pipelines and core platform components on Databricks / ADLS Gen2,
Build the generic, reusable functions and production code that reproduce, at scale and across the organisation,
Responsibilities
~1 min read- →
Requirements
~1 min read-
Experience building and operating production data pipelines, ideally on Databricks (or a comparable Spark-based platform) and cloud data lake storage (ADLS Gen2, S3 or equivalent).
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SQL and hands-on experience with dimensional modelling (star schema / Bronze-Silver-Gold or similar medallion patterns).
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Experience building the data layer behind BI tools, ideally Power BI, including designing performant, well-governed semantic models and views.
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Write clear technical documentation that a non-specialist reader can follow.
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Comfortable working to formal sign-off gates (requirements, staging, production) and coordinating with analysts, survey and field teams rather than working in isolation.
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Experience with survey/ODK-style data collection tools (e.g. Survey123, XLSForms).
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Familiarity with data governance concepts (data catalogues, access control, e.g. Unity Catalog) in a multi-tenant or multi-partner data platform.
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Python and PySpark for pipeline development and testing.
What We Offer
~1 min read
About the Role
~1 min readLocation & Eligibility
About this job
- Who can apply
- United Kingdom
- Posted
- Today
Listing Details
- Posted
- October 22, 2026
- First seen
- October 22, 2026
- Last seen
- October 22, 2026
Posting Health
- Days active
- -1
- Repost count
- 0
- Trust Level
- 58%
- Scored at
- October 22, 2026
Signal breakdown
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