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- Tasks: Lead the design and optimisation of a cutting-edge Azure Data Lakehouse.
- Company: Join a nationwide organisation known for its supportive and inclusive culture.
- Benefits: Enjoy a competitive salary, bonus, private medical options, and 25 days holiday.
- Why this job: Shape the future of data platforms while enjoying flexible working hours.
- Qualifications: Deep experience in Databricks, Azure Data Factory, and strong DevOps skills.
- Other info: Mentor engineers in a dynamic, forward-thinking team with excellent career growth.
The predicted salary is between 60000 - 85000 £ per year.
My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform.
You will play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn’t just about coding - you will also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus.
Key Responsibilities:- Build and maintain the Data Lakehouse platform in a secure Azure environment
- Develop automation for cluster management, integration runtimes, and networking
- Lead architectural design and ensure platform scalability, reliability, and governance
- Write efficient, maintainable code in PySpark, Python, and SQL
- Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM
- Collaborate with data engineers, architects, and business stakeholders
- Mentor and coach engineers, fostering a culture of learning and excellence
- Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture
- Strong solution architecture and data platform engineering skills
- DevOps and automation expertise, including CI/CD, monitoring, and code quality
- Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning
- Excellent communication and mentoring skills
It’s not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You will get private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday.
This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You will be shaping the future of their data platform while collaborating with a talented and diverse team.
To apply, please submit your CV as we are looking to move quickly on this role.
Lead Platform Engineer (Data) Remote Condensed hours employer: Akkodis
Contact Detail:
Akkodis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Platform Engineer (Data) Remote Condensed hours
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Azure, Databricks, and CI/CD. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to data platforms. Practice explaining your thought process clearly, as communication is key in this role.
✨Tip Number 4
Apply through our website! It’s the quickest way to get your application seen. Plus, we’re keen to move fast on this role, so don’t miss out on the chance to join a fantastic team!
We think you need these skills to ace Lead Platform Engineer (Data) Remote Condensed hours
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Platform Engineer role. Highlight your experience with Azure, Databricks, and CI/CD processes. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or optimised data platforms. We love seeing real-world examples of your work, especially if they demonstrate your architectural guidance and mentoring skills.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website: Don't forget to apply through our website! It’s the quickest way for us to get your application and start the conversation. We’re excited to hear from you!
How to prepare for a job interview at Akkodis
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Databricks, Azure Data Factory, and PySpark. Brush up on your knowledge of cloud data platforms and be ready to discuss how you've used them in past projects.
✨Showcase Your Architectural Skills
Prepare to talk about your experience with solution architecture and how you've designed scalable and secure data platforms. Have examples ready that demonstrate your ability to lead architectural design and ensure governance.
✨Emphasise Collaboration and Mentoring
This role involves working closely with engineers and stakeholders, so be ready to discuss your communication style and mentoring experiences. Share specific instances where you’ve fostered a culture of learning and excellence within a team.
✨Demonstrate Your CI/CD and Automation Expertise
Since hands-on experience with CI/CD and automation is essential, prepare to explain your approach to implementing these processes. Discuss any tools you've used, like Terraform or ARM templates, and how they’ve improved efficiency in your previous roles.