Senior Data Engineer

Remote (UK-based candidates preferred)

Actively hiring, first seen by us 8 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
Contract Type: Freelance / Contract Location: Remote (UK-based candidates preferred) Start Date: ASAP
Read the full posting
Employment: Contract — employment source
Employment type in the employer’s posting: Contractor
From the employer’s posting

Before you apply

Work authorization: Must already have the right to work in the UKCandidates must be eligible to work with UK Government departments / BPSS

What you’ll work on

Full posting

Build and maintain ETL pipelines and code in cloud data platforms
Support data ingestion and onboarding of new data sources
Construct raw, refined and curated data layers and catalogue assets
Monitor pipeline performance and support incident resolution

From the employer’s posting

Build and maintain ETL pipelines and code in cloud data platforms.

Support ingestion activity and onboarding of new data sources.

Construct raw, refined and curated data layers; catalogue assets appropriately.

Monitor and measure pipeline performance; support incident resolution.

Apply at Ceox

Posting record

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Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 26, 20268 days ago
Recorded sightings: 10
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 8

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Ceox is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Azure
Databricks
Power BI
PySpark

Where the posting names them

Mandatory Requirements - Strong experience with Python, PySpark & SQL for data engineering. - Hands-on experience with Azure Databricks.

Data Engineer (Azure | Databricks | PySpark | SQL) Contract | Remote | UK Public Sector Project

Who We’re Looking For A highly capable Data Engineer with hands-on experience building ETL pipelines, implementing Data Lake architectures, and working across Azure platform services. You will need strong problem-solving ability, a solid engineering mindset, and the ability to work collaboratively within a multi-disciplinary team. If you’re confident writing production-grade code, applying design patterns, and building scalable, high-performing data products, this role offers technical autonomy, ownership, and challenge.

- Strong experience with Python, PySpark & SQL for data engineering. - Hands-on experience with Azure Databricks. - Strong knowledge of Azure Data Factory & Fabric.

- Hands-on experience with Azure Databricks. - Strong knowledge of Azure Data Factory & Fabric. - Experience with Microsoft Purview.

- Knowledge of Secure ETL design with Entra IMID/SCIM integration. - Understanding of Azure best practice, APIM, and platform governance. - Ability to build and serve Power BI models via Databricks data sources.

- Support ingestion activity and onboarding of new data sources. - Work with the Databricks Data Intelligence Platform and develop Data Engineering workloads. - Construct raw, refined and curated data layers; catalogue assets appropriately.

- Understanding of SOLID principles, Async programming, Mediator/Factory patterns. - Experience delivering unit + integration testing in Databricks. - Knowledge of Secure ETL design with Entra IMID/SCIM integration.

- Understanding of Azure best practice, APIM, and platform governance. - Ability to build and serve Power BI models via Databricks data sources. Desirable

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Your next step

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Has Ceox posted this job before?

Yes. We’ve followed one other Senior Data Engineer job there since June 2026. It is still up.

GuildfordStill up after 153 days, first seen Jun 4
This jobUp 9 days so far, first seen Oct 26

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Data Engineer (Azure | Databricks | PySpark | SQL)

Contract | Remote | UK Public Sector Project

We are seeking a Data Engineer to support delivery of key data components within our evolving data ecosystem. This role will work closely with architects, analysts, engineers, and wider delivery teams to implement pipeline builds, data models, and integration patterns aligned to the organisation’s new Target Operating Model for Data.

You will contribute to the development of scalable data flows, optimise ingestion & transformation activities, and ensure solutions meet technical standards, performance expectations, and security controls. This is a hands-on engineering role ideal for someone who enjoys building, shaping, and improving modern data platforms.

Who We’re Looking For

A highly capable Data Engineer with hands-on experience building ETL pipelines, implementing Data Lake architectures, and working across Azure platform services. You will need strong problem-solving ability, a solid engineering mindset, and the ability to work collaboratively within a multi-disciplinary team.

If you’re confident writing production-grade code, applying design patterns, and building scalable, high-performing data products, this role offers technical autonomy, ownership, and challenge.

Key Responsibilities

Build and maintain ETL pipelines and code in cloud data platforms.
Support ingestion activity and onboarding of new data sources.
Work with the Databricks Data Intelligence Platform and
develop
Data Engineering workloads.
Construct raw, refined and curated data layers; catalogue assets appropriately.
Validate solutions against functional and non-functional requirements.
Deliver datasets, transformations and performance-optimised data products.
Improve processes, engineering patterns, and reusable tooling.
Monitor and measure pipeline performance; support incident resolution.
Ensure documentation meets acceptance standards and is approved centrally.
Actively engage in Agile ceremonies and governance forums.

Mandatory Requirements

Strong experience with Python, PySpark & SQL for data engineering.
Hands-on experience with Azure Databricks.
Strong knowledge of Azure Data Factory & Fabric.
Experience with Microsoft Purview.
Familiarity with Event-driven data ingestion (Event Grid / Pub-Sub).
Understanding of SOLID principles, Async programming, Mediator/Factory patterns.
Experience delivering unit + integration testing in Databricks.
Knowledge of Secure ETL design with Entra IMID/SCIM integration.
Understanding of Azure best practice, APIM, and platform governance.
Ability to build and serve Power BI models via Databricks data sources.

Desirable

Prior experience working within UK Public Sector environments.

Soft Skills

Strong stakeholder communication and cross-team collaboration.
Analytical and solution-focused mindset.
Able to work independently, take ownership and drive progress.
Commitment to clean, scalable, well-documented engineering.
Adaptable, proactive, and comfortable working in dynamic delivery environments.

Contract Details

Contract Type: Freelance / Contract
Location: Remote (UK-based candidates preferred)
Start Date: ASAP
Clearance: Candidates must be eligible to work with UK Government departments / BPSS.

Source details