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Senior Data Engineer

Role overview

Qualifications

  • Strong experience with Python, PySpark & SQL for data engineering
  • Hands-on experience with Azure Databricks
  • Strong knowledge of Azure Data Factory & Fabric
  • Experience delivering unit + integration testing in Databricks

Responsibilities

  • Build and maintain ETL pipelines and code in cloud data platforms
  • Support ingestion activity and onboarding of new data sources
  • Validate solutions against functional and non-functional requirements
  • Improve processes, engineering patterns, and reusable tooling

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration
  • Analytical Thinking
  • Problem Solving
  • Adaptability
  • Proactivity

About the company

CEOX logo

CEOX

  • Professional Associations
  • 2–10
Breaking Barriers is Easier With a Strong Circle. CEOX is more than a network—it’s a highly vetted, mission-driven community advancing women into the highest levels of leadership. CEOX is trusted by hundreds of executives and companies as a powerhouse network of women built to support your growth, leadership journey, and long-term success. We exist to close the gender gap in the CEO seat by connecting executive women with the tools, insights, and support they need to lead and thrive. If you’re ready to grow, build your board portfolio, or amplify your impact alongside other powerhouse women—CEOX is your circle. The Benefits: - A Powerful & Supportive Community - Career & Board Opportunities - Premium Investment Access & Resources - Exclusive Peer Forums for Growth - Executive Coaching & Growth Opportunities CEOX also connects highly qualified female candidates to CEO and board roles. We identify candidates for these crucial roles by asking successful CEOs and senior leaders who understand what skills are required to excel, to nominate women who have the potential to transform companies. Companies searching for their next CEO or board member can quickly and affordably expand their network with our vetted CEO-ready candidates.

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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.

Compensation: Competitive Salary

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