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Tenth Revolution Group Reedcouk · Posted today

Data Engineer

Newcastle Upon Tyne GBP 40000-55000 / year Permanent Remote

Permanent Reedcouk
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Indexed description

Data Engineer - Newcastle upon Tyne (Hybrid- 3 days onsite) - SQL, Airflow, Python, Power BI - Future Microsoft Fabric Transformation Project - Up to £55,000

Are you a Data Engineer looking for an opportunity where you can influence the direction of a growing data platform rather than simply maintain existing processes?

We're working with a technology-driven organisation investing heavily in its data capabilities and embarking on an exciting data transformation journey. This role offers the chance to work hands-on with Azure SQL, Airflow, Python and Power BI while playing a key role in the organisation's future migration to Microsoft Fabric.

You'll join a small, highly visible team where your contributions will directly influence business decisions, platform development and the future data strategy. This is an opportunity to take ownership of projects, contribute to architectural decisions and help shape the next generation of the company's data environment.

For candidates looking to expand their cloud data expertise and gain commercial exposure to one of Microsoft's fastest-growing data platforms, this is a fantastic opportunity.

You Will Work With

  • Designing, building and maintaining scalable data pipelines.
  • Developing ETL/ELT processes to ingest and transform data from multiple sources.
  • Apache Airflow for workflow orchestration, scheduling and automation.
  • Azure SQL and cloud-based data platforms.
  • Data modelling, warehousing and optimisation activities.
  • Data quality, governance and validation processes.
  • Power BI reporting and business intelligence requirements.
  • Technical and non-technical stakeholders across the business.
  • Helping shape and deliver the migration to Microsoft Fabric.
  • Ad-hoc data analysis and reporting requests to support business decision-making.
  • Driving improvements across the data platform and contributing to future architecture discussions.

Benefits

  • Salary up to £55,000.
  • Hybrid working model (3 days per week in the Newcastle office).
  • Play a key role in an exciting Microsoft Fabric transformation programme.
  • Opportunity to help shape a growing data function.
  • Varied, hands-on role with significant ownership and autonomy.
  • Join a collaborative team where your ideas and contributions are valued.
  • Ongoing learning and development opportunities.
  • Exposure to modern cloud-based technologies and best practices.
  • Clear opportunity to make a visible impact across the organisation.
  • Excellent opportunity for a Data Engineer looking to develop towards a more senior position over time.

Key Experience

  • Previous experience in a Data Engineer, ETL Developer or similar role.
  • Strong SQL skills, ideally within Azure SQL or SQL Server environments.
  • Experience building, maintaining and optimising data pipelines.
  • Knowledge of ETL/ELT development and data integration.
  • Python scripting for automation, transformation and data engineering tasks.
  • Experience with Apache Airflow or similar orchestration tools.
  • Understanding of data warehousing and data modelling principles, including dimensional modelling.
  • Experience working with cloud-based data platforms.
  • Familiarity with Git and version control practices.
  • Strong communication skills and the ability to work closely with technical and business stakeholders.
  • Adaptable, proactive and comfortable working within a small, collaborative team environment.

Interview Process

  • Stage 1: 30-minute Teams interview.
  • Final Stage: Face-to-face interview, including a short document review exercise.

A streamlined interview process with prompt feedback throughout.

If you're looking for a role where you can influence a growing data platform, work with modern Azure technologies and gain hands-on experience with a major Microsoft Fabric transformation.

Apply now! Interviews are already underway, and the hiring team is keen to move quickly for the right candidate.

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