Tech Stack
AWSAzureDatabricks
Job Description, Responsibilities & Requirements
About the Position
Data Engineer
Nigel Frank is currently recruiting for a Databricks Data Engineer to support the delivery of modern data platform and engineering programmes within a growing data focused consultancy. Working across a range of enterprise clients, this role focuses on designing and delivering scalable data solutions using the Databricks Data Platform.
Responsibilities
- Design, build and deliver data solutions using Databricks
- Develop and optimise ETL/ELT data pipelines using Spark, Python, and SQL
- Build and maintain data lakes and data warehousing solutions
- Collaborate with stakeholders to deliver scalable and insight-driven data platforms
- Contribute to projects involving various other tools like Kafka, Snowflake, Azure Data Factory, Synapse, or Microsoft Fabric
Requirements
- Strong experience with Databricks with either Azure or AWS
- Strong SQL, Python, and Spark expertise
- Proven track record delivering data engineering solutions across full project lifecycles
- Strong understanding of data modelling and modern data architectures
- Ability to engage effectively with stakeholders in a consulting setting
We Offer
- Salary up to £75,000
- Hybrid working - central London location
- Opportunity to work on modern cloud data platforms using cutting-edge technologies
- Exposure to a variety of industries and large-scale data transformation programmes
- Clear career progression within a growing consulting practice
- Collaborative and high-performing team environment
About the Company
Nigel Frank is a leading consultancy in the Intelligent Cloud and Modern Workplace sectors, offering a range of roles from Developer to Solutions Architect. We pride ourselves on providing opportunities for professional growth and exposure to cutting-edge technologies.
To learn more about this opportunity, apply with your CV and we'll be in touch to discuss the role in more detail.