Senior Data Engineer

DataCareers; London; Remote; GBP 35,000 - 46,000; Full time

Job summary

A leading company in government projects is seeking a Senior Data Engineer to design and deliver secure, scalable data solutions. This fully remote role requires active SC clearance and offers an opportunity to work on high-impact projects while collaborating with cross-functional teams. Ideal candidates will have strong Azure experience and a passion for data engineering.

Qualifications

• Active SC Clearance required.
• Proven experience with Microsoft Azure (Data Lake, Synapse, Purview).
• Experience with structured and unstructured data sources.

Responsibilities

• Design and deliver robust, secure data pipelines.
• Lead technical implementation with strong Python and SQL skills.
• Mentor engineers and foster a culture of technical excellence.

Skills

Azure Data Factory

Python

SQL

DevOps

Data Modelling

Education

Microsoft/Azure certifications or equivalent

Tools

Dataverse

dbt

Power BI

Azure SQL

MongoDB

Job description

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Base pay range

Remote (UK-based)

Full-Time | Central Government Projects

We're looking for an experienced Senior Data Engineer to lead the design and delivery of secure, scalable, cloud-native data solutions across high-impact central government programmes. This is a fully remote role, but active SC clearance is essential. Applicants without current SC clearance cannot be considered.

As a senior member of the Data Engineering team, you'll play a pivotal role in designing high-quality data pipelines, guiding delivery teams, and collaborating with cross-functional experts to solve complex data challenges. You'll champion engineering best practices and bring thought leadership to technical planning, client engagement, and innovation.

What You'll Be Doing

1. Designing and delivering robust, secure data pipelines using tools like Azure Data Factory, dbt, Fabric, and Dataverse
2. Leading technical implementation across projects with strong Python and SQL skills
3. Supporting test strategies and automation to ensure data quality and reliability
4. Mentoring engineers and fostering a culture of technical excellence and continuous improvement
5. Engaging directly with clients and stakeholders to translate requirements into solutions
6. Promoting engineering standards and contributing to internal capability building

You'll Need:

• Active SC Clearance
• Proven experience with Microsoft Azure (Data Lake, Synapse, Purview)
• Strong understanding of secure data handling, DevOps, and compliance
• Experience with structured and unstructured data sources (e.g., Azure SQL, MongoDB)
• Familiarity with Power BI, including data modelling and DAX
• Government/defence sector experience
• Microsoft/Azure certifications or equivalent

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Government Administration

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