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Product Engineer

Job Title: Product Engineer
Contract Type: Permanent
Location: London, England
Salary: Negotiable
REF: RC/P/ProductEngineer_1661513834
Contact Name: Rohit Chavda
Contact Email:
Job Published: about 1 month ago

Job Description

Product Engineer - Permanent - London

The Product Engineer has 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.

The role accelerates our change cycle in order to ensure suitable cloud data products are delivered in line with business and platform needs. The individual will be able to rapidly understand business functions and processes, should have good communication, stakeholder management skills and, should be organized and able to manage multiple requirements in parallel.


  • 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
    Excellent communication (verbal and written), stakeholder management and able to challenge the status-quo
    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

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