At a Glance
- Tasks: Design and implement scalable Databricks platforms on AWS/Azure, ensuring robust data governance.
- Company: Join a leading tech consultancy with a focus on innovative data solutions.
- Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with opportunities for travel and collaboration in a fast-paced environment.
- Why this job: Make a real impact by delivering cutting-edge data platforms that drive client success.
- Qualifications: 3+ years in data platform engineering with strong Databricks and cloud experience.
The predicted salary is between 50000 - 70000 € per year.
Location: Hybrid / Monument St, London EC3R 8AJ, UK
Job type: Permanent / Full-time
Sector and subsector: IT | Data Engineer
Salary: Competitive salary
Platform Architecture & Engineering responsibilities
- Design and implement scalable Databricks Lakehouse platforms on AWS and/or Azure aligned to client requirements
- Architect end-to-end data platforms including ingestion, storage (Delta Lake), processing, and consumption layers
- Build and configure cloud infrastructure using infrastructure-as-code (e.g. Terraform & Declarative Automation Bundles(DAB's))
- Establish secure, compliant environments including networking (VNet/VPC, Private Link), identity (IAM/Entra ID), data governance (Unity Catalog), and access controls
- Define environment strategies (dev/test/prod), CI/CD pipelines, and release processes for Databricks deployments
- Implement monitoring, logging, cost optimisation, and performance tuning across the platform
- Design and implement data pipelines using Delta Live Tables, Auto Loader, and Databricks Workflows for both batch and streaming workloads
Client Delivery & Enablement responsibilities
- Work directly with clients to translate business and technical requirements into scalable platform designs
- Lead technical workshops, architecture sessions, and whiteboarding engagements with client stakeholders
- Support rapid prototyping and proof-of-concept builds within Databricks to demonstrate platform capabilities and accelerate client adoption
- Provide best practice guidance on Lakehouse architecture, data modelling, workload optimisation, and cost management
- Produce high-quality technical documentation including architecture diagrams, architecture decision records (ADRs), runbooks, and deployment guides
- Enable client teams through structured knowledge transfer, training, and platform handover
- Collaborate with data engineers, data scientists, and product teams to ensure successful delivery outcomes
Governance & Security
- Implement Unity Catalog for centralised data governance, including access control (RBAC/ABAC), data lineage, audit logging, and compliance enforcement
- Apply security best practices across platform design: network isolation, secret management, encryption at rest and in transit, and identity federation
- Ensure platform designs meet client regulatory and compliance requirements (e.g. GDPR, ISO 27001, sector-specific standards)
What success looks like in the role
- Delivery of robust, secure, and scalable Databricks platforms that meet client performance and cost expectations
- Clear, well-architected solutions that balance flexibility, governance, and operational efficiency
- Strong client relationships built on trust, technical credibility, and effective communication
- Accelerated client adoption of the Lakehouse platform through well-designed enablement and documentation
- Reduced deployment time through reusable infrastructure patterns and automation
- Proactive identification of risks, trade-offs, and optimisation opportunities across platform design and delivery
- Contribution to the organisation’s growing body of reusable platform accelerators, reference architectures, and internal knowledge
Competencies and Behaviours
- 3+ years experience in data platform engineering, cloud engineering, or similar roles
- Strong hands-on experience with Databricks, including Apache Spark, Delta Lake, Workflows
- Proven experience designing and deploying data platforms on AWS and/or Azure (e.g. ADLS, S3, VNet/VPC, IAM)
- Experience with infrastructure-as-code tools (e.g. Terraform preferred) and CI/CD pipelines (e.g. Azure DevOps, GitHub Actions)
- Solid understanding of data architecture concepts including Lakehouse medallion architecture and dimensional modelling
- Familiarity with security and governance frameworks (e.g. RBAC, ABAC, data masking, audit, compliance standards)
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
- Comfortable working in a client-facing consultancy environment with multiple concurrent engagements
- Proactive, self-driven, and able to take ownership of end-to-end platform delivery
- Willingness to travel within the UK as required
- Right to work in the UK
Databricks Platform Engineer employer: Hollybank Trustees Ltd
As a Databricks Platform Engineer at our London office, you will thrive in a dynamic hybrid work environment that fosters innovation and collaboration. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring you can develop your skills while working on cutting-edge data solutions. Our supportive culture encourages knowledge sharing and client engagement, making it an ideal place for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Platform Engineer
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, and conferences to connect with fellow data enthusiasts. You never know who might be looking for a Databricks Platform Engineer just like you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and cloud platforms. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Databricks and cloud engineering. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients and stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it’s the best way to ensure your application gets the attention it deserves.
We think you need these skills to ace Databricks Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Databricks Platform Engineer role. Highlight your experience with Databricks, AWS/Azure, and infrastructure-as-code tools like Terraform. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your past experiences make you a great fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional or personal capacity, be sure to mention them. We love seeing real-world applications of your skills, especially if they relate to Databricks or cloud platforms.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining StudySmarter!
How to prepare for a job interview at Hollybank Trustees Ltd
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge, especially around Delta Lake and Apache Spark. Be ready to discuss how you've designed and implemented scalable platforms in the past, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Cloud Skills
Since this role involves working with AWS and Azure, be prepared to talk about your hands-on experience with these platforms. Highlight specific projects where you've built cloud infrastructure using tools like Terraform and CI/CD pipelines, and explain how you ensured security and compliance.
✨Communicate Clearly and Confidently
You'll need to explain complex technical concepts to non-technical stakeholders, so practice articulating your thoughts clearly. Use examples from your previous work to demonstrate your ability to translate business requirements into technical solutions.
✨Prepare for Client Engagement Scenarios
Expect questions about how you would handle client interactions. Think of examples where you've led workshops or provided training, and be ready to discuss how you build strong relationships with clients while ensuring they understand the platform's capabilities.
