At a Glance
- Tasks: Lead the delivery of a modern enterprise data platform using Databricks.
- Company: Join a leading financial services organisation with a focus on innovation.
- Benefits: Earn up to £575 per day, hybrid working, and potential contract extension.
- Other info: Mentor engineers in a dynamic environment with opportunities for growth.
- Why this job: Shape engineering standards and drive impactful Databricks solutions.
- Qualifications: At least two years of hands-on Databricks experience and relevant certifications.
The predicted salary is between 63000 - 77000 £ per year.
A hands-on Databricks Lead Engineer is required to lead the delivery of a modern enterprise data platform for a leading financial services organisation. The role will take technical ownership of Databricks lakehouse solutions, covering ingestion through to curated serving layers.
Responsibilities will include:
- Implementing Medallion Architecture, Unity Catalog, Declarative Pipelines and scalable Databricks-native ingestion patterns
- Mentoring engineers and driving production-quality delivery
What’s on offer:
- Up to £575 per day Inside IR35
- Initial 6-month contract with potential extension
- Hybrid working with three days per week on-site in London
- ASAP start
- Technical leadership of a strategic Databricks implementation
- Opportunity to shape engineering standards, reusable patterns and delivery practices
What you need:
- At least two years of recent, hands-on Databricks experience
- Evidence of delivering Databricks solutions into production environments
- An active Databricks Data Engineering, Machine Learning or Generative AI certification
- Strong experience implementing Medallion Architecture across Bronze, Silver and Gold layers
- Hands-on Unity Catalog experience covering catalog design, access controls, lineage and secure data sharing
- Experience developing Declarative Pipelines with Expectations, including failure handling and observability
- Knowledge of Auto Loader, Lakeflow Connect and batch, streaming or incremental ingestion patterns
- Production-level PySpark and SQL development skills
- Strong knowledge of Delta Lake, including MERGE, schema evolution, OPTIMIZE, ZORDER and VACUUM
- Experience with Databricks Workflows, orchestration and CI/CD
- Understanding of monitoring, alerting, replay, backfill and operational support strategies
- Ability to mentor engineers and act as the technical escalation point
- Experience with RBAC, data masking, Photon, cluster optimisation or cost management would be beneficial
- Exposure to Mosaic AI, Vector Search, model serving, RAG or Lakebase would be advantageous
Databricks Lead Engineer - Hybrid - Contract 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.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Lead Engineer - Hybrid - Contract in Slough
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We think you need these skills to ace Databricks Lead Engineer - Hybrid - Contract in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at ANSON MCCADE, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to ANSON MCCADE, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab ANSON MCCADE’s attention and show the tangible impact of your work.
How to prepare for a job interview at ANSON MCCADE
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at ANSON MCCADE.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at ANSON MCCADE.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at ANSON MCCADE.
