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.
