Connecting to LinkedIn...

Data Product Engineer - ETL, Azure, Databricks

Job Title: Data Product Engineer - ETL, Azure, Databricks
Contract Type: Contract
Location: Reading, Berkshire
Salary: Negotiable
Start Date: A.S.A.P
Duration: 6 months+
REF: AC/294411_1663232825
Contact Name: Amanda Cager
Contact Email:
Job Published: 13 days ago

Job Description

This offers a great opportunity to work for a high profile well known brand and this will be for a 6 month initial contract.

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

Experience needed

  • 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

Project People is acting as an Employment Business in relation to this vacancy.