Role: Data Engineer
Location: Reading (Hybrid)
Great position working for a high profile brand that offers benefits such as a car allowance, bonus scheme, flexi bonus options, 28 days holiday and much more!
This is a key role in the end-to-end product delivery leveraging a variety of Cloud and Big Data tools and following best practices and engineering standards. The Product Engineer has a broad ranging skills experience across data warehouses, data lakes, database design, data pipelines and modelling, software engineering, visualisation and BI toolsets.
What the role will be doing:
- Responsible for sourcing, mapping, transforming and extracting data from a wide variety of source systems
- Drive the design, development, test, optimisation, and deployment of data products on our Azure Platform
- Supporting data capture, data quality, transformation for dashboards and reporting solutions
- Drive continual improvement to standard data, dashboard, report and user functionality
- Deliver E2E data solutions in rapid delivery cycles through automated CI/CD pipelines in an Agile environment
- Collaborate with Product Heads/Leads for solution support, analysis, infrastructure and data remediation
- Input into planning, estimation and prioritisation within an agile framework to fulfil the product backlog
- Provide relevant documentation for and outputs to internal processes and designs
- Mentoring and development of junior team members as we expand our DevOps capability
- Expertise In ETL, visualisation technologies and data modelling and data engineering
- Experience of Azure Platform, ADF, Cloud Data Warehouses and Data Lakes, Databricks, Kafka, Snowflake, DBT
- Proven experience of SQL, Tableau and/or Power BI; ML and AI extremely useful
- Familiar with Agile, Scrum, Kanban delivery approaches with prior experience in product-driven teams
- Following best practices In DevOps environment - version control, CI/CD, peer review
- Prior experience with automated testing and release management approaches of particular Interest
If this looks interesting, click on APPLY!
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