Responsibilities
- Translate intricate technical ideas into straightforward terms for non-technical stakeholders through close collaboration with cross-functional teams
- Partner with an agile delivery team to deliver innovative solutions that turn unprocessed data into meaningful insights
- Create and manage efficient ETL and ELT workflows using tools like Python, SQL, and Apache Airflow
- Construct scalable data architectures using cloud-based platforms and modern data technologies
- Design and sustain advanced data models using dimensional modeling to enable in-depth analysis and reporting
- Apply strong data governance, security, and compliance standards to safeguard data accuracy and trustworthiness
- Maintain high data quality by implementing thorough quality assurance procedures and refining data queries
- Build clear, user-friendly dashboards that deliver practical business insights to decision-makers
- Monitor system performance and optimize data solutions for improved speed, reliability, and functionality
- Keep current with evolving industry trends and adopt emerging data engineering tools and techniques
- Support the growth of the internal analytics engineering community by actively engaging in knowledge-sharing initiatives
Work Arrangement
Hybrid
Other
Flexibility to travel to client locations and office hubs in London, Sheffield, and Bristol
