Senior Databricks Data Platform Engineer

Senior Databricks Data Platform Engineer

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Intetics

At a Glance

  • Tasks: Own and optimise Databricks pipelines across Azure and AWS for seamless data flow.
  • Company: Join Intetics, a forward-thinking company at the forefront of data engineering.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with exciting projects and career advancement potential.
  • Why this job: Make a real impact by transforming data processes and collaborating with diverse teams.
  • Qualifications: Strong skills in PySpark, SQL, and Python are essential for success.

The predicted salary is between 60000 - 80000 Β£ per year.

Intetics seeks a data engineering specialist to own production Databricks pipelines across Azure and AWS.

You will monitor data flows, optimize performance, and drive cost efficiencies while ensuring security and governance in a multi-tenant environment.

You will migrate legacy ETL/ELT stacks to Databricks, collaborate with data science, product, and infra teams, and support onboarding of new customers with isolated, reliable data pipelines.

Strong Py Spark/SQL/Python skills required.

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Senior Databricks Data Platform Engineer employer: Intetics

Intetics Inc. is an exceptional employer that fosters a collaborative and innovative work culture, where data engineers are empowered to take ownership of their projects and drive impactful solutions. With a focus on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in a dynamic environment across Azure and AWS. Join us in our global offices, where your contributions will be valued, and you will be part of a team dedicated to delivering high-quality data capabilities.

Intetics

Contact Details:

Intetics Recruitment Team

We think you need these skills to ace Senior Databricks Data Platform Engineer

SQL
Python
Data Pipeline Development
Problem-Solving Skills
Data Engineering
API Integration
Communication Skills