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- Tasks: Lead cloud migration and build modern data platforms using Databricks and Azure.
- Company: Join a forward-thinking tech company focused on transformative data engineering projects.
- Benefits: Competitive day rates, remote work options, and potential for contract extensions.
- Why this job: Make a real impact by shaping engineering standards and delivering innovative solutions.
- Qualifications: Experience with Databricks, Azure, and strong SQL/PySpark skills required.
- Other info: Fast-paced environment with opportunities for growth and collaboration with senior engineers.
We're building a bench of top-tier Databricks and Cloud Data Engineering contractors for a series of high-impact transformation programmes across multiple UK clients. If you specialise in cloud migration, Databricks engineering, and modern data platform builds, there are several projects kicking off now and over the coming weeks.
These are hands-on, delivery-focused roles where you'll be shaping modern data platforms, migrating legacy estates, and building scalable engineering foundations that actually get used; not just documented.
What You'll Be Working OnDepending on the project, you'll be involved in:
- Migrating enterprise data workloads from Teradata and other legacy systems into Databricks on Azure
- Designing and building high-performance PySpark pipelines, Delta Lake tables, and medallion architectures
- Developing scalable ETL/ELT workflows and optimising existing pipelines
- Implementing Unity Catalog, governance frameworks, and platform standards
- Leading or contributing to cloud-native data platform builds
- Performance tuning, cost optimisation, and FinOps-aligned engineering
- Working closely with analytics, data science, and product teams to deliver real business value
These projects move fast - you'll be expected to deliver clean, scalable, production-ready engineering from day one.
What We're Looking ForYou'll thrive in these roles if you bring:
- Strong hands-on experience with Databricks, Spark, Delta Lake, and Databricks SQL
- Proven delivery of cloud migration projects (Teradata experience is a big plus)
- Solid Azure knowledge: Data Lake, Data Factory, Unity Catalog
- Advanced SQL and PySpark engineering skills
- Experience building and optimising medallion/lakehouse architectures
- Ability to work autonomously in fast-paced, product-led environments
- A contractor mindset: pragmatic, delivery-driven, and commercially aware
- Leadership experience is welcome, but not essential - we have both individual contributor and lead-level opportunities.
Outside IR35
Competitive day rates
Remote or hybrid options depending on the client
Initial 3-6 month contracts with extensions highly likely
Start dates available immediately and rolling over the next few weeks
You'll be working on programmes where:
- The tech stack is modern and evolving
- The work is genuinely transformative, not BAU
- You have autonomy to shape engineering standards
- Your impact is visible - faster insights, better governance, lower costs
- You're surrounded by senior engineers who know their craft
If you're tired of firefighting legacy systems and want to build platforms that matter, this is the kind of work you'll enjoy.
Data Platform & Engineering Lead in Plymouth employer: iO Associates
Contact Detail:
iO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform & Engineering Lead in Plymouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering space, especially those who have worked with Databricks or Azure. A friendly chat can lead to insider info on job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got hands-on experience with PySpark or cloud migration, consider creating a mini-project or case study to showcase your expertise. Share it on LinkedIn or during interviews to really stand out.
✨Tip Number 3
Be ready to talk shop! Brush up on the latest trends in data platforms and cloud technologies. When you get that interview, being able to discuss current challenges and solutions will show you’re not just a candidate, but a thought leader.
✨Tip Number 4
Apply through our website! We’ve got some exciting projects lined up, and applying directly gives you a better chance of getting noticed. Plus, you’ll be in the loop for all the latest opportunities as they come up.
We think you need these skills to ace Data Platform & Engineering Lead in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and cloud migration. We want to see how your skills align with the projects we’re working on, so don’t be shy about showcasing relevant achievements!
Showcase Your Hands-On Experience: We love candidates who can demonstrate their practical skills. Include specific examples of projects where you’ve built PySpark pipelines or migrated data workloads. This helps us see your delivery-focused mindset in action!
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes tracking your application easier for both of us!
How to prepare for a job interview at iO Associates
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Azure, and PySpark. Brush up on your knowledge of Delta Lake and medallion architectures, as these are crucial for the role. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Migration Experience
Prepare examples of past cloud migration projects, especially those involving Teradata. Highlight the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Be Ready for Technical Questions
Expect technical questions that test your understanding of ETL/ELT workflows and performance tuning. Practise explaining complex concepts in simple terms, as you may need to communicate with non-technical stakeholders.
✨Demonstrate Your Delivery Mindset
Emphasise your ability to deliver clean, scalable engineering from day one. Share examples of how you’ve worked autonomously in fast-paced environments and contributed to real business value through your work.