Job Description
We are seeking a seasoned professional to lead our data engineering efforts. The ideal candidate will have extensive experience in designing, building, and operating analytics solutions using cloud technologies.
Key Responsibilities:
* Design and develop scalable data solutions that align with business objectives.
* Lead technical teams focused on delivering data solutions.
* Implement best practices in data validation, lineage tracking, and governance frameworks.
* Modify store procedures to build resilience in operations and reduce injection frequencies.
Required Skills and Qualifications:
* Holds a relevant undergraduate degree in Computer Science.
* Extensive hands-on experience in designing, building, and operating analytics solutions using Azure cloud technologies.
* A working knowledge of Synapse and ETL technologies is essential.
* Proficient in advanced programming and query languages such as Python/PySpark, Pandas, NumPy, and T-SQL.
* Strong capabilities in report building, with essential skills in Power BI.
* Demonstrates the ability to lead data engineering teams in designing data models, developing robust ETL pipelines, and producing standards documentation.
Benefits:
* Flexible benefits to fit your life.
* Enjoy discounts on private healthcare and gym memberships.
* Wellbeing benefits like a free online GP and 24/7 counselling service.
* Interest-free loans on tech and transport season tickets.
* Cycle to Work scheme.
About Us: We are a leading energy company with a bold ambition to be a net zero world leader. Our IT division powers growth across all business areas by making sure we have the systems, software, and security needed to take the lead in a low-carbon world.