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Lead Data Engineer

LinkedIn
Tyne and Wear
1 month ago
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Peaple Talent has partnered with a global digital engineering consultancy who are recruiting for a Lead Data Engineer on a permanent basis based out of their Sunderland office. You will have a great understanding of technology consultancy services along with fantastic communication and stakeholder engagement skills as this role will be client facing.


Skills and experience:

  • Proven experience as a Lead Data Engineer with a focus on Azure cloud services.
  • Experience of managing small teams whilst also being hands-on.
  • Strong database fundamentals including SQL/TSQL, performance and schema design.
  • Experience architecting and building data applications using Azure, specifically a Data Warehouse and/or Data Lake.

Technologies:

  • Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks and Power BI. Experience with creating low-level designs for data platform implementations.
  • ETL pipeline development for the integration with data sources and data transformations including the creation of supplementary documentation.
  • Proficiency in working with APIs and integrating them into data pipelines.
  • Strong programming skills in Python.
  • Experience of data wrangling such as cleansing, quality enforcement and curation e.g. using Azure Synapse notebooks, Databricks, etc.
  • Experience of data modelling to describe the data landscape, entities and relationships.
  • Experience with data migration from legacy systems to the cloud.
  • Experience with Infrastructure as Code (IaC) particularly with Terraform.
  • Proficient in the development of Power BI dashboards.
  • Strong focus on documentation and diagramming (e.g. ERDs).
  • Strong communication and teamwork skills to collaborate with cross-functional teams effectively.


It would be great if you have:

  • Azure Data Fundamentals DP-900 certification.
  • Azure Fundamentals AZ-900 certification.
  • Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management.
  • Machine Learning and AI development experience


Benefits:

  • Up to 10% bonus (based on company and personal performance).
  • An employer pension scheme
  • 25 days holiday + 8 bank holidays, with the option to carry forward or 'cash-in' 5 days each year
  • Life Insurance & Income protection
  • Enhanced Maternity Pay & Paternity Pay
  • Cycle to work scheme
  • Travel loan scheme
  • A Tech Scheme which lets you choose from over 5000 tech products at up to a 12% discount
  • Free unlimited Udemy account for every employee to support their continuous learning and improvement

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National AI Awards 2025

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