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Data Engineer (SC Cleared)

Posted 3 hours 47 minutes ago by scrumconnect ltd

£400 - £450 Annual
Contract
Not Specified
Factory Jobs
London, United Kingdom
Job Description

About Scrumconnect Consulting:

Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, and more to deliver innovative digital services that matter

Clearance: Active SC clearance is mandatory
Role Overview

We are looking for an experienced Data Engineer to develop and maintain data products and a Strategic Data Platform. You will work as part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of data solutions. The role focuses on designing, delivering, and optimising scalable data architectures, with a strong emphasis on Azure-based tools and modern engineering practices.

Key Responsibilities

  • Design, build, and maintain data solutions using Azure Data Factory and Azure Synapse.

  • Manage data development life cycle within Agile delivery teams.

  • Integrate and automate data workflows into Azure DevOps pipelines.

  • Create and maintain dimension data models and semantic models for integration with Power BI.

  • Develop complex dashboards, visualisations, and reporting solutions using Power BI.

  • Implement data governance, quality checks, and profiling to ensure accuracy and compliance.

  • Migrate Legacy data capabilities to modern Azure-based platforms.

  • Collaborate with business stakeholders to translate requirements into robust technical solutions.

  • Coach and mentor team members to enhance capability in data engineering best practices

Essential Skills & Experience

  • Active SC Clearance (must be valid and in place at application stage).

  • Proven experience with:

    • Azure Data Factory & Azure Synapse

    • Azure DevOps & Microsoft Azure

    • Power BI (including semantic models)

    • Python (including PySpark)

    • SQL (proficient level)

    • Dimension data modelling

  • Experience with Terraform for infrastructure-as-code deployments.

  • Ability to deliver solutions using structured and unstructured data.

  • Experience in Agile environments.

  • Strong business analysis skills to understand service needs and document accurately.

  • Proven experience in Legacy migration projects within complex organisations.

  • Ability to work collaboratively and communicate effectively with technical and non-technical stakeholders.

Desirable

  • Azure certifications (Data Engineering, Data Scientist, or related specialisation).

  • Knowledge of GDPR compliance, data security, and governance best practices.

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