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- Tasks: Lead the design and optimisation of a secure Azure-based Data Lakehouse.
- Company: Reputable organisation known for its supportive and inclusive culture.
- Benefits: Up to £85k salary, 15% bonus, flexible hours, and private medical options.
- Why this job: Shape innovative data solutions while enjoying a condensed work week.
- Qualifications: Deep experience in Databricks, Azure Data Factory, and strong mentoring skills.
- Other info: Excellent career growth opportunities in a dynamic team environment.
The predicted salary is between 51000 - 85000 £ per year.
Fully Remote - Condensed & flexible hours available (4 day working week available).
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’ll 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’ll 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’ll get Private medical options, 25 days holiday, plus.
Lead Platform Engineer (Data) Remote Condensed hours in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. 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 showcasing your projects, especially those involving Azure, Databricks, and CI/CD. This will give potential employers a taste of what you can bring to the table.
✨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 seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Platform Engineer (Data) Remote Condensed hours in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Platform Engineer role. Highlight your expertise in Azure, Databricks, and CI/CD processes to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to building scalable data platforms.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include links to any relevant projects or GitHub repositories where we can see your work with PySpark, Terraform, or any other tools mentioned in the job description.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
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 specific examples ready that demonstrate your ability to lead architectural design and ensure platform reliability.
✨Emphasise Your Mentoring Experience
Since this role involves mentoring engineers, think of instances where you've coached or guided team members. Be ready to share how you foster a culture of learning and excellence within your teams.
✨Demonstrate Your DevOps Knowledge
Highlight your expertise in CI/CD, automation, and infrastructure-as-code. Discuss any hands-on experience you have with Terraform or ARM templates, and be prepared to explain how these practices improve efficiency and code quality.
