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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: Earn up to £85k, enjoy a 4-day work week, and receive a generous bonus.
- Why this job: Shape the future of data platforms while working remotely with flexibility.
- Qualifications: Deep experience in Databricks and strong skills in data platform engineering.
- Other info: Mentor engineers and foster a culture of learning in a dynamic team.
The predicted salary is between 51000 - 119000 £ 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 need to have strong experience working with Databricks.
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
Essential Skills:
- 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 Data Platform Engineer | Remote | £85K + 4 Day Week in Glasgow employer: Akkodis
Contact Detail:
Akkodis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer | Remote | £85K + 4 Day Week in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks and Azure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data platforms and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Platform Engineer | Remote | £85K + 4 Day Week in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and Azure Data Factory. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for this Lead Data Platform Engineer role. Share your passion for data platforms and how you can contribute to our innovative team.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with CI/CD, Terraform, and any machine learning platforms. We love seeing candidates who can bring technical expertise to the table!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It’s the quickest way for us to receive your application and start the conversation!
How to prepare for a job interview at Akkodis
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks, Azure Data Factory, and Lakehouse architecture. Brush up on your PySpark and SQL skills, as you’ll likely be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Architectural Skills
Prepare to discuss your experience with designing scalable and secure data platforms. Think of specific examples where you’ve led architectural design or implemented CI/CD pipelines, and be ready to explain your thought process.
✨Emphasise Mentorship Experience
Since this role involves mentoring engineers, be prepared to share your experiences in coaching and fostering a culture of learning. Highlight any successful projects where you’ve guided others and the impact it had on the team.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
