Data Engineer
Role details
Job location
Tech stack
Job description
- Be responsible for building and maintaining scalable data solutions that support analytics, reporting, and decision-making across the Sovini Group
- Be responsible for developing efficient and robust interfaces between internal and external applications
- Liaise between internal and external clients and stakeholders, colleagues and external suppliers to make the best use of available technologies in order to drive business efficiency and productivity.
- Commit to equality and diversity and to promote non-discriminatory practices in all aspects of work undertaken.
- Adhere with the Health and Safety at Work Act to take reasonable care of own health and safety and that of others who may be affected by their acts and omissions.
To be successful in a Data Engineer role, the skills you will need
Requirements
We're looking for someone who can deliver reliable, scalable data engineering - and who's excited about building on Microsoft Fabric.
If you have got the talent, the potential, the drive and determination there is a place for you at The Sovini Group., * Strong understanding of data ingestion, transformation, orchestration, and pipeline reliability.
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Hands on experience with Microsoft Fabric components (OneLake, Lakehouse, Pipelines, Real Time Intelligence).
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Ability to design and build Lakehouses, Warehouses, and real time analytics solutions in Fabric
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Strong SQL/T SQL capability, including optimisation and development of reusable objects.
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Proficiency in Python (PySpark, Spark SQL beneficial).
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Experience working with structured/unstructured data, delta lake patterns, partitioning, and scalable pipeline design.
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Strong understanding of data modelling, including Kimball dimensional modelling.
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Awareness of data governance, privacy, security, and compliance.
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Experience with Git for version control and collaborative deployment workflows.
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Excellent Communication across all channels including Microsoft Teams, Face to Face and Email.
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To demonstrate The Sovini Group's values in your day-to-day job role - Success, Passion, Authenticity, Courage, Enterprise.
Experience or Knowledge of the below would be advantageous but not essential:
- Experience with SSIS/SSRS and modernising legacy ETL/reporting approaches.
- Familiarity with CI/CD pipelines, DevOps practices, or ML workflows.
- Experience with Azure Data Factory (useful where it complements Fabric pipeline patterns).
- Knowledge of KQL for analysis or Fabric components that support it.
Benefits & conditions
- Competitive salary - £55,308.34
- Hours - 36 per week (Monday-Friday).
- Agile working - enjoy an agile working approach.
- 28 days holiday + bank holidays (rising to 33 days after 5 years)
- Festive shutdown (3-4 days taken from holiday entitlement)
- Fantastic, matched pension contributions up to 8%.
- Life Assurance for every colleague, peace of mind ensuring your loved ones are cared for.
- Career development through bespoke L&D programmes
- Cycle 2 Work Scheme.
- Corporate discount scheme.
- Award-winning health & wellbeing support.
- 24/7 GP access, EAP, financial wellbeing tools & more.
