At a Glance
- Tasks: Build and optimise data pipelines using PySpark and Databricks.
- Company: SLAMcore, a leading tech company in the UK.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Other info: Exciting projects with potential for career advancement.
- Why this job: Join a dynamic team and work on cutting-edge data technologies.
- Qualifications: Proficiency in PySpark and experience with Databricks SQL and Delta Lake.
The predicted salary is between 50000 - 50000 £ per year.
SLAMcore in the United Kingdom is seeking a Data Engineer to build, maintain, and optimise robust data pipelines. The role requires strong proficiency in PySpark and experience with Databricks SQL, T-SQL, and Delta Lake formats.
As a Data Engineer, you will work on efficient ETL/ELT workflows and be involved in deploying data pipelines while ensuring data quality checks. Candidates should be skilled in configuring governance policies and optimising Lakehouse table performance.
Lakehouse Data Engineer - Databricks & Fabric employer: SLAMcore
SLAMcore is an exceptional employer that fosters a collaborative and innovative work culture, perfect for Data Engineers looking to make a significant impact in the field of data management. Located in the vibrant tech hub of the United Kingdom, we offer competitive benefits, continuous professional development opportunities, and a commitment to employee growth, ensuring that you thrive both personally and professionally while working on cutting-edge technologies like Databricks and Fabric.
