Tóm tắt công việc
Create efficient ETL processes for data extraction, transformation, and loading.
Ensure high-quality data by implementing validation checks and monitoring.
Collaborate with
data analysts to deploy semantic models into production.
Optimize data pipelines for scalability and performance.
Build solutions to monitor performance of the data pipelines deployed and take corrective measures when necessary.
Work closely with
software engineers, product managers, data analysts and
data scientists.
Communicate findings to technical and non-technical stakeholders through clear and compelling presentations and reports.
Take part in innovation projects and collaborate closely with academic institutions.
Your Career
There is one overriding reason for our success - and that is you. If you are not growing, then neither are we.
Your Leave
Enjoy your time off, you've earned it! Work life balance is essential, we offer generous holiday allowances, as well as loyalty leave and charity leave.
Your Lifestyle
Work. Life. Balance. We want to support good health and wellbeing and know that your lifestyle is key to this. The way we work and how we relax are recognised through our lifestyle benefits.
Your Community
Giving something back. Community is at the heart of how we operate and our ethos. To recognise this we offer charity matching, charity leave and the opportunity to get involved in corporate fundraising events and activities.
Experience: Minimum of 3 years in a data engineering role.
Technical Skills:
Proficiency in designing data pipelines and ETL tools (e.g., Azure Databricks or MS Fabric).
Proficiency in Python or strong SQL knowledge for data manipulation and querying.
Experience with Microsoft Azure cloud platform.
Experience with CI/CD pipelines and good software development practices, including version control, code organization and testing.
Knowledge in DataOps and MLOps.
Experience working in an agile (Scrum or Kanban) framework.
Ability to share knowledge and mentoring junior team members.
Good analytical skills.
Very good understanding of data models and experience with medallion architect.
Eager to learn work with the newest technologies.
High initiative and ability to work independently.
Solution-oriented, pragmatic, with an eye for detail and capable of explaining decisions and results.
Good communication skills.