11334SJR
£40k – 50k per year
Data Engineer – HYBRID WORKING
We are working exclusively with one of our Financial Serivces clients who are based in the Bristol area. We are looking for an experienced Data Engineer to join the team on a hybrid working model basis.
The Data Engineer is responsible for
Supporting the Data Engineering Manager with the design and implementation of ELT/ ETL, data movement and data model design and implementation to support the needs of the business, ensuring it:
1. Is trusted and fit for purpose
2. Is secure, scalable, and performant
3. Leverages contemporary technologies and data paradigms as appropriate
4. Supports a single analytical view of our data and information
5. Implements agreed and defined metrics
6. Delivers business value by supporting action-oriented insights
Responsibilities
7. Delivery of ETL/ELT processes, data models and data marts from design to implementation
8. Documentation of solutions implemented
9. Documentation of data lineage
10. Responsible for performance, stability, and active monitoring of systems to support ETL/ELT
11. Identifying bottlenecks in performance and working with technical teams to overcome any issues
12. Supporting the test, support, and release management processes
13. Drive best practice through initiative and peer review
14. Contribute to the team risk and issues register
15. Accountable for maintaining technical standards and governance for delivery in line with the information management data management framework
16. Supporting CAB (Change Advisory Board) process to ensure appropriate governance is followed
Essential Skills
17. Ability and desire to pick up new technology, tools, paradigms and run with them
18. Experience of implementing cloud centric data solutions using platforms such as Azure
19. Knowledge of automating deployments using a combination of tools such as PowerShell and Azure DevOps
20. Ability to use Python both to manipulate data and building additional process to support data processing activities
21. Experience manipulating, processing and storing data using tools such as SQL, dbt, pyspark and SSIS
22. Comfortable building out and administrating data models, ensuring that they are accessible and used appropriately, leveraging platforms such as Databricks and Power BI, and Microsoft Fabric
23. Familiarity with data processing paradigms such as ETL/ ELT, Kimball, Medallion Data Lakehouse
24. Passionate about data and information with a strong understanding of data architecture principles and information “story telling” to maximise the value of our raw data
25. Strong problem solving and planning skills with a “can do” attitude to manage and mitigate risks to maintain delivery commitments
Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.
Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation