Senior Data Engineer

Ceox; United Kingdom; Remote; GBP 83,000 - 131,000; Full time

Job summary

Ceox is recruiting a Data Engineer to design and deliver scalable data pipelines and data models in a modern Azure-based environment. You will collaborate with architects, analysts and engineers to implement data flows aligned to the organisation’s new Target Operating Model for Data.

The role focuses on building ETL pipelines, ingestion patterns, and secure data platforms in a remote, UK-based setting. Hands-on coding, problem solving and independent ownership are expected.

Qualifications

• Experience building ETL pipelines and data lakes.
• Proficient in Python, PySpark and SQL for data engineering.
• Strong problem-solving and collaborative mindset.

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.

Skills

Python

PySpark

SQL

ETL design

SOLID principles

Async programming

Unit testing

Data governance concepts

Power BI concepts

Tools

Databricks

Azure Data Factory

Fabric

Purview

Event Grid / Pub-Sub

Job description

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.