Are you a skilled Data Engineer with a passion for building scalable pipelines and unlocking the power of data? We’re looking for a Databricks-savvy professionals at all levels to join my client's team and help drive data platforms forward.
About the Role
As their new Data Engineer, you’ll play a key role in designing, developing, and optimising data pipelines within a modern Lakehouse architecture. Using Databricks, you’ll help ensure clean, reliable, and accessible data flows that empower analytics, machine learning and decision making.
What You’ll Be Doing
- Build and maintain robust ETL/ELT pipelines using Databricks.
- Integrate data from a wide range of sources (APIs, databases, files, streams)
- Optimise data processing performance within the Databricks Lakehouse platform
- Ensure high standards of data quality, governance, and lineage
- Collaborate with analysts, scientists, and business teams to deliver trusted data products
- Support CI/CD practices for data workflows and infrastructure as code
- Maintain and monitor production pipelines, resolving issues proactively
- Proven experience as a Data Engineer working with large-scale datasets
- Strong hands-on expertise with Databricks
- Experience working in cloud-based data environments (Azure, AWS, or GCP)
- Experience with data orchestration tools like Data Factory, Airflow etc
- Familiarity with data modelling, data warehousing concepts, and data governance
- Strong problem-solving mindset and a passion for clean, scalable data solutions
Sounds like you and would like to know more? To submit your application, in strict confidence, please apply online using the appropriate link below. Alternatively, for a confidential discussion about this and other data roles, please contact Peter Sing on 0212331007
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