Databricks Engineer - £400PD - Hybrid
We are seeking a skilled Databricks Data Engineer to design, build, and optimize scalable data pipelines and analytics platforms. In this role, you will work closely with data scientists, analysts, and product teams to deliver reliable, high-performance data solutions using Databricks and modern cloud technologies.
Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and Delta Lake
Build and optimize ETL/ELT workflows for batch and streaming data
Develop data models to support analytics, reporting, and machine learning use cases
Ensure data quality, reliability, and performance across data platforms
Integrate data from multiple sources including APIs, databases, and cloud storage
Collaborate with data scientists and analysts to enable advanced analytics and ML workloads
Implement monitoring, logging, and cost-optimization best practices
Follow data governance, security, and compliance standards
Document data pipelines, architectures, and best practices
3+ years of experience in data engineering or a similar role
Strong experience with Databricks and Apache Spark
Proficiency in Python and SQL
Experience with Delta Lake, data modelling, and performance tuning
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with data orchestration tools (eg, Airflow, Azure Data Factory)
Solid understanding of data warehousing and big data concepts
Experience with Real Time/streaming data (Spark Structured Streaming, Kafka, etc.)
Knowledge of CI/CD for data pipelines
Experience supporting machine learning pipelines
Databricks or cloud platform certifications
To apply for this role please submit your CV or contact Dillon Blackburn (see below)
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