At a Glance
- Tasks: Lead the design and delivery of innovative data platforms using Databricks.
- Company: Join a major data transformation programme in a dynamic tech environment.
- Benefits: Competitive daily rate, hybrid working, and potential for contract extension.
- Other info: Mentorship opportunities and a chance to work with cutting-edge technologies.
- Why this job: Take ownership of engineering delivery and shape modern enterprise data solutions.
- Qualifications: 2+ years of Databricks experience and relevant certifications required.
The predicted salary is between 63000 - 77000 £ per year.
A new opportunity has just landed for an experienced, hands-on Databricks Lead Engineer to join a major data transformation programme. We're looking for someone with strong recent experience delivering modern, production-grade data platforms on Databricks. This is a hands-on technical leadership role, so we're looking for someone who can lead engineering delivery and design solutions, rather than simply work from an existing blueprint.
Location: London - 3 days per week on-site
Rate: Up to £575 per day
Contract: Inside IR35
Duration: 6 months initial contract with potential extension
Start: ASAP
Key requirements:
- 2+ years of recent, hands-on Databricks experience delivering production solutions
- Active/current Databricks certification - Data Engineer, Machine Learning or Generative AI
- Strong experience designing and implementing Databricks Lakehouse architectures
- Hands-on implementation of Medallion Architecture - Bronze, Silver and Gold layers
- Experience with Unity Catalog, including governance, access control, lineage and secure data sharing
- Strong experience building Declarative Pipelines / DLT, including Expectations, data quality, failure handling and observability
- Experience with Databricks-native ingestion approaches such as AutoLoader and/or Lakeflow Connect
- Strong PySpark and SQL skills
- Delta Lake experience, including MERGE, schema evolution, optimisation and performance tuning
- Experience with Databricks Workflows and production pipeline orchestration
- Strong understanding of CI/CD, testing, monitoring, alerting, incident triage and operational best practice
- Ability to mentor engineers and act as the technical escalation point within the delivery team
Nice-to-have experience includes:
- Mosaic AI, Vector Search, model serving or RAG pipelines
- Lakeflow ingestion connectors
- Row-level security, column masking and sensitive data handling through Unity Catalog
- Databricks performance optimisation, including Photon, cluster sizing, partitioning and shuffle/skew mitigation
- Cost optimisation and understanding of Databricks compute and DBU drivers
This is a great opportunity for a technically strong Databricks specialist who wants to take ownership of engineering delivery and help shape a modern enterprise data platform.
If you're interested, or know someone who could be a good fit, please get in touch.
Databricks Lead Engineer in Slough employer: ANSON MCCADE
Anson McCade is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible remote working environment in the UK. With a strong focus on security and digital transformation, employees benefit from comprehensive training programmes and clear pathways for career advancement, all while contributing to impactful projects alongside talented teams and senior stakeholders.
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We think you need these skills to ace Databricks Lead Engineer in Slough
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