Job Search and Career Advice Platform

Enable job alerts via email!

Databricks Data Engineer (Hybrid) - Build Scalable Pipelines

Tenth Revolution Group

Leeds

Hybrid

GBP 59,000 - 70,000

Full time

2 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A rapidly growing data-driven consultancy is seeking a Databricks Data Engineer in Leeds, offering a salary of up to £70,000. The successful candidate will design and optimize cloud-based data pipelines and collaborate with cross-functional teams to deliver scalable data solutions. Strong experience with Databricks and proficiency in PySpark and Python are essential, along with knowledge of Azure Data services. This position supports hybrid working, featuring structured career development and opportunities for impactful projects.

Benefits

Salary up to £70,000
Annual bonus
Structured career development
Funded certifications
Opportunity on high-impact projects

Qualifications

  • Strong experience with Databricks including jobs, notebooks, workflows, Delta Live Tables.
  • Proficiency in PySpark and Python.
  • Hands-on experience with Azure Data Lake, Azure Data Factory, or similar services.

Responsibilities

  • Develop, optimise, and maintain ETL / ELT pipelines within Databricks.
  • Build reliable data ingestion frameworks using PySpark and Spark SQL.
  • Design well-structured data models across medallion / lakehouse architecture.
  • Automate deployments using CI / CD with DevOps teams.
  • Collaborate with stakeholders to understand analytical needs.
  • Ensure compliance with best practices around data governance and quality.

Skills

Databricks
PySpark
Python
Azure Data Lake
Azure Data Factory
ETL
Data modelling
Job description
A rapidly growing data-driven consultancy is seeking a Databricks Data Engineer in Leeds, offering a salary of up to £70,000. The successful candidate will design and optimize cloud-based data pipelines and collaborate with cross-functional teams to deliver scalable data solutions. Strong experience with Databricks and proficiency in PySpark and Python are essential, along with knowledge of Azure Data services. This position supports hybrid working, featuring structured career development and opportunities for impactful projects.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.