At a Glance
- Tasks: Design and optimise data pipelines using Databricks and PySpark.
- Company: Innovative, data-driven organisation with a focus on modern technology.
- Benefits: Competitive salary up to £90,000, hybrid work model, and career growth opportunities.
- Other info: Opportunity to influence architecture and drive engineering excellence.
- Why this job: Join a collaborative team and shape the future of data engineering.
- Qualifications: Hands-on experience with Databricks, PySpark, and strong Python/SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
Senior Data Engineer (Databricks) - Surrey (Hybrid) - Up to £90,000
Apply fast, check the full description by scrolling below to find out the full requirements for this role.
We're working with an innovative, data-driven organisation that is investing heavily in its Databricks platform and looking to add a Senior Data Engineer to its growing Data Engineering team.
This role is ideal for someone who enjoys being hands-on with Databricks and wants to play a key role in building and evolving a modern Lakehouse platform.
You'll be working with large-scale datasets, designing robust data pipelines, and helping shape best practices across a cloud-first Azure environment.
You'll join a collaborative team where Data Engineering is viewed as a core business function, with the opportunity to influence architecture, tooling decisions and the future direction of the platform.
The Opportunity
As a Senior Data Engineer, you'll spend most of your time designing, building and optimising solutions within Databricks.
Key responsibilities include
- Building and maintaining scalable data pipelines using Databricks and Py Spark.
- Developing high-performance batch and streaming data solutions.
- Designing and implementing modern Lakehouse architectures using Delta Lake and medallion design principles.
- Optimising Databricks workloads for performance, reliability and scalability.
- Implementing data quality, monitoring, and observability frameworks.
- Supporting governance, security, and access management within the data platform.
- Collaborating with Data Scientists, Analysts and Product teams to deliver business-critical data products.
- Driving engineering excellence through code reviews, knowledge sharing and technical best practices.
- Identifying opportunities to improve platform performance and reduce cloud costs.
- Contributing to the ongoing enhancement of the Databricks ecosystem and data engineering standards.
- What You'll Need
We're particularly interested in engineers with strong hands-on Databricks experience.
Essential Skills
- Commercial experience building solutions within Databricks.
- Strong hands-on expertise with Py Spark, Spark SQL, and Delta Lake.
- Experience designing and supporting production-grade ETL/ELT pipelines. xgikmsk
- Strong Python and SQL development skills.
Senior Data Engineer (Databricks) in Westcott employer: Tenth Revolution Group Careers
Join a forward-thinking organisation in South London that prioritises employee development and innovation. With a strong focus on hybrid working, you will benefit from a collaborative work culture that encourages continuous learning and professional growth. Enjoy competitive remuneration and the opportunity to make a significant impact on business transformation initiatives while working alongside dedicated professionals in a supportive environment.
Contact Details:
Tenth Revolution Group Careers Recruitment Team
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