AI & Data Leeds / Hybrid Permanent

Lead Data Engineer

A customer-facing role overseeing the architecture, design, engineering processes, and implementation of client data projects. You'll create scalable and robust data solutions from conception through deployment and evolution, managing both your own contributions and a broader team's output.

What you'll do

  • Design and optimise data pipelines while managing data warehousing operations
  • Ensure high-quality data availability supporting business insights and decision-making
  • Lead implementation of modern data stack solutions across client engagements
  • Collaborate with product managers, analysts, and software developers on integration and reporting
  • Oversee team performance and engineering ecosystem development

What we're looking for

  • Modern data stack and cloud platform development background
  • ETL/ELT tools proficiency — Apache Spark, Airflow, dbt
  • Cloud platform expertise: AWS (Redshift, Glue), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow)
  • Data processing language skills in Python, Java, or SQL
  • Data warehousing, lakes, and lakehouse architecture knowledge
  • Visualisation tool experience — PowerBI, QuickSight, or Tableau
  • Ability to design reliable, maintainable, performant data architectures
  • Comfortable with agile methodologies
  • Strong communication and teamwork abilities
  • Problem-solving aptitude with attention to detail

Tech & skills

PythonSparkSnowflakeDatabricksdbt
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