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Data Engineer

OEG
Inverurie
4 days ago
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We are looking for a hands-on, technically drivenData Engineerto join our expanding data team. This role is ideal for someone with a strong foundation in SQL and data management, who has recently graduated from aData ScienceorData Engineeringprogramme and is eager to apply their skills in a modern, forward-thinking environment.

You will be responsible for developing and maintaining robust data solutions that support reporting, automation, and strategic decision-making across the business. The successful candidate will have up-to-date knowledge of data tooling and methodologies, particularly in SQL, Power BI, and data automation, with an interest in modern data architecture such as cloud-based warehousing and lakehouse solutions.

As the role sits within a relatively new department, where methodologies and processes are still evolving, there is a significant opportunity to help shape the future of OEG’s data management practices.


Key Responsibilities:

Database and Data Engineering

  • Design, develop, and maintain SQL-based solutions and data pipelines.
  • Manage relational databases, ensuring data can be extracted, transformed, updated, and exported efficiently.
  • Write complexT-SQLqueries, stored procedures, and functions to support data processes.

Data Visualisation and Reporting

  • Develop insightful and interactive dashboards usingPower BIandDAX.
  • Translate business requirements into visual analytics for various departments.
  • Monitor and enhance report performance and usability.

Automation and Workflow Management

  • UsePower Automateto streamline data workflows and automate routine reporting tasks.
  • Support cross-system data integration where applicable.

ETL Development and Modernisation

  • Build and maintainETL pipelinesusing best practice methods and modern tooling.
  • Support data transformation and movement across systems and platforms.
  • Participate in the adoption and maintenance of cloud-first data solutions.

Innovation and Future-Proofing

  • Stay up to date with modern tools and methodologies, including but not limited toMicrosoft Fabric,Databricks, andLakehousearchitectures.
  • Ensure solutions are scalable, maintainable, and aligned with evolving best practices.
  • Contribute to shaping the future state of the organisation’s data estate.


Qualifications & Experience:

  • Bachelor’s degree inData Science,Data Engineering,Computer Science, or a closely related field (ideally graduated within the past few years).
  • 1–3 years' relevant work experience, either from a commercial role or significant academic/placement projects.
  • Hands-on experience withSQL Server, Power BI, and Power Automate preferred.


Skills and Competencies:

This role requires a motivated and detail-oriented individual with a passion for working with data. You will be expected to work collaboratively and drive value through well-crafted, efficient solutions.

Technical Skills:

  • Strong skills inSQL / T-SQL, including writing queries, procedures, and managing database structures.
  • Proficient inPower BIdashboard development andDAXformulas.
  • Experience withPower Automatefor data-driven workflows.
  • Understanding ofETL conceptsand processes.
  • Exposure to modern data platforms such asAzure Data Lake,Databricks, orMicrosoft Fabricis a bonus.

Analytical Skills:

  • Ability to understand complex data structures and derive actionable insights.
  • Strong problem-solving ability with attention to detail.
  • Curious and data-driven mindset with a continuous improvement approach.

Communication Skills:

  • Capable of explaining technical concepts to non-technical stakeholders.
  • Clear written and verbal communication style.
  • Strong team player with a collaborative approach.

Strategic Thinking:

  • Ability to contribute to discussions on the evolution of data architecture.
  • Passionate about using modern tools to drive business value.
  • Willingness to learn and grow with the organisation's data journey.

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National AI Awards 2025

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