Azure Databricks Engineer
Azure Databricks Engineer
Posted 51 days ago
SENIORITY
Lead
About the role
- Design, Develop, Operate and drive scalable and resilient data platform to address the business requirements
- Drive technology and business transformation through the creation of the Azure Data LakeEnsure industry best practices around data pipelines, metadata management, data quality, data governance and data privacy
- Partner with Product Management and Business leaders to drive Agile delivery of both existing and new offerings; assist with the Leadership and collaboration with engineering organizations within Change to manage and optimize the portfolio
- RequiredSkills 10+ years working experience in Data processing / ETL / Big data technologies like Informatica, Hadoop, Cloudera 4+ years working experience in Databricks (essential) and Python
- Experience with Cloud / Azure architectural components
- Experience building data pipelines and infrastructure
- Deep understanding of Data warehousing concepts, reporting and Analytical concepts
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
