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Lead Data Engineer

3 months ago


London, UK, United Kingdom Swoop Recruitment Full time

An exciting opportunity for an experienced Data Engineer to join the Engineering team working within the Digital & Product Department.


Location: Chiswick (West London)

Work Type: 3 days in office, 2 day from home

Salary: £80k - £90k dependent on experience



The successful candidate will lead a team of 2 data engineers to design and create scalable data pipelines. This hands-on role involves discussing requirements, designing solutions, and coding to automate data ingestion, cleansing, and transformation.



You'll collaborate with Products, Engineering, Data, and Business Analytics teams to understand data requirements and develop integration solutions for necessary migrations. The Data Engineer will support software developers, PowerBI developers, data analysts, and data scientists, ensuring a consistent and optimal data delivery architecture across projects. Self-direction and comfort in supporting multiple teams, systems, and products are essential.


DUTIES & RESPONSIBILITIES


  • Understand, build and develop ETL and data integration solutions using a wide array of technologies and data sources
  • Manage and update the Data Engineering Architecture
  • Analyse and organise raw data from different sources
  • Explore ways to enhance data quality and reliability
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, etc.
  • Work with cloud-based infrastructure (Azure) for hosting data solutions and applications
  • Collaborate with architects, data analysts and data scientists to help meet the business goals


SKILLS REQUIRED

  • Previous experience as a data engineer
  • Proven experience in development and maintenance of ETL/ELT processes within a medallion architecture
  • Good experience in Data Modeling within a cloud-based data platform
  • Strong experience with SQL Server and relational databases
  • Good knowledge of the Azure data engineering stack, including Azure Synapse and Azure Data Lake
  • Programming experience in Python, PySpark and T-SQL
  • Familiarity with the wider Azure Data Solutions such as Azure ML Studio
  • Previous experience with Azure DevOps and understanding of CI/CD
  • Analytical skills related to working with structured and unstructured datasets
  • Excellent written and verbal communication skills
  • Experience supporting and working with cross-functional teams in a dynamic environment