Lead Data Platform Engineer (5873)
Lead Data Platform Engineer (5873)

Lead Data Platform Engineer (5873)

Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
Irwin Mitchell

At a Glance

  • Tasks: Design and deliver scalable data platforms using cutting-edge technologies like Databricks and Azure.
  • Company: Join a national law firm that values inclusivity and teamwork.
  • Benefits: Enjoy 25 days holiday, flexible pensions, and paid volunteering days.
  • Why this job: Make a real impact while working in a supportive and innovative environment.
  • Qualifications: Advanced DevOps skills and experience with Azure data services are essential.
  • Other info: Be part of a diverse team committed to social responsibility and community investment.

The predicted salary is between 43200 - 72000 £ per year.

We’re a national law firm with a local reach. Our legal experts are here for you. Whether it’s personal or business, we understand that everyone’s situation is different. But we’re more than just a law firm – we’re a team of people working together to help individuals and businesses navigate life’s ups and downs. Working here you’ll feel a part of our friendly and inclusive environment. We’ll value you for who you are and what you bring. We support each other and push boundaries to achieve incredible things and make a real difference to our clients and communities. We’re always looking to support our colleagues to work in a way that works best for them and everyone else, including our clients, the business and the regulators.

Role Overview

We are seeking a highly skilled Lead Data Platform Engineer to join our Data Engineering and Machine Learning team. This role is pivotal in designing, architecting, and delivering robust, scalable, and secure data platforms that enable the firm to manage, analyse, and leverage data effectively while meeting regulatory and client confidentiality requirements. You will combine hands‑on engineering with strong solution architecture skills, ensuring that data platform solutions are fit‑for‑purpose, well‑governed, and aligned to business needs. A key focus will be on Databricks, Azure Data Factory, and the Lakehouse Medallion architecture, with DevOps and automation at the heart of everything you do.

Key Responsibilities

  • Develop and deploy Data Lakehouse platform in Azure Virtual Network environment.
  • Develop and maintain automations to manage cluster and self‑hosted integration runtime virtual machines and networking related to it.
  • Architect and design end‑to‑end data platform solutions, ensuring scalability, reliability, and compliance.
  • Lead implementation using Databricks, PySpark, Spark SQL, and Azure Data Factory.
  • Develop APIs for data integration and automation.
  • Write efficient, maintainable code in PySpark, Python, and SQL.
  • Implement and manage CI/CD pipelines and automated deployments via Azure DevOps.
  • Build infrastructure‑as‑code solutions (Terraform, ARM templates) for cloud resource provisioning.
  • Monitor and optimise platform performance and manage cloud costs.
  • Ensure data quality, security, governance, and lineage across all components.
  • Collaborate with data engineers, architects, and business stakeholders to translate requirements into effective solutions.
  • Maintain comprehensive documentation and stay current with emerging technologies.
  • Provide coaching and mentoring to engineers, fostering a culture of continuous learning and technical excellence.

Essential Skills

  • Advanced expertise in DevOps practices: CI/CD, automated testing, code quality, and release management for Azure infrastructure and Data Lakehouse assets (ADF Code, Databricks Asset Bundles, and Databricks terraform).
  • Experience with infrastructure‑as‑code tools (Terraform, ARM templates) for cloud resource management.
  • Familiarity with monitoring, logging, and automated alerting solutions (e.g., Azure Monitor).

Desirable Skills

  • Experience with additional Azure data services (e.g., MS Fabric, Azure Data Factory, Azure Databricks, Azure Databricks Platform Administration, Azure Virtual Networks, Azure Express Route, Network Security Groups, Routing, Azure Virtual Machines, Azure Functions, Azure Logic Apps).

If you’re interested in this role but don’t feel that you meet every requirement, we still encourage you to apply — your skills and experience may be a great fit.

Benefits

  • 25 days holidays as standard plus bank holidays – you can ‘buy’ up to 35hrs of extra holiday.
  • Generous and flexible pension schemes.
  • Volunteering days – Two days of volunteering every year for a cause of your choice (fully paid).
  • Westfield Health membership, offering refunds on medical services alongside our Aviva Digital GP services.

We also offer a wide range of well‑being initiatives to encourage positive mental health both in and out of the workplace and to make sure you’re fully supported. This includes our Flexible by Choice programme which gives our colleagues more choice over a hybrid way of working subject to role, team and client requirements. We have been ranked in the Best Workplaces for Wellbeing for Large Organisations for 2024!

Our responsible business programmes are fundamental to who we are and our purpose. We’re committed to being a diverse and inclusive workplace where our colleagues can flourish, and we have established a number of inclusion network groups across our business to support this aim. Our commitment to Social Responsibility, community investment activity and tackling climate change is a fundamental part of who we are. It’s made up of four strands: Our People, Our Community, Our Environment and Our Pro Bono.

As part of the Irwin Mitchell Group’s on‑boarding process, all successful applicants are required to complete the group’s employment screening process. This process helps to ensure that all new employees meet our standards in relation to honesty and integrity therefore protecting the interests of the Group, colleagues, clients, partners and other stakeholders. We carry out pre‑employment screening to establish your eligibility to work in the UK, criminal record and financial checks with our trusted 3rd parties. The employment screening process will fully comply with Data Protection and other applicable laws. Irwin Mitchell LLP is an equal opportunity employer.

Lead Data Platform Engineer (5873) employer: Irwin Mitchell

At Irwin Mitchell, we pride ourselves on being more than just a law firm; we are a supportive and inclusive team dedicated to making a meaningful impact in our clients' lives and communities. As a Lead Data Platform Engineer, you will thrive in a culture that values collaboration, continuous learning, and innovation, while enjoying generous benefits such as flexible working options, extensive holiday allowances, and well-being initiatives. Join us in a role where your expertise will not only shape our data platforms but also contribute to our commitment to social responsibility and community engagement.
Irwin Mitchell

Contact Detail:

Irwin Mitchell Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Platform Engineer (5873)

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give you insights and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the interview by researching the firm’s values and recent projects. Show them you’re not just another candidate; you’re genuinely interested in how you can contribute to their mission.

✨Tip Number 3

Practice your technical skills! Since this role is all about data platforms, brush up on your Databricks and Azure knowledge. You want to walk in feeling confident and ready to tackle any technical questions.

✨Tip Number 4

Don’t forget to follow up after your interview! A quick thank-you email can leave a lasting impression and shows that you’re keen on the role. Plus, it keeps you on their radar!

We think you need these skills to ace Lead Data Platform Engineer (5873)

Data Lakehouse Architecture
Azure Data Factory
Databricks
PySpark
Spark SQL
CI/CD Pipelines
Infrastructure as Code (Terraform, ARM templates)
Automated Testing
Monitoring and Logging Solutions (Azure Monitor)
API Development
Cloud Resource Management
Data Quality and Governance
Collaboration with Stakeholders
Documentation Skills
Coaching and Mentoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Lead Data Platform Engineer role. Highlight your experience with Databricks, Azure Data Factory, and any relevant DevOps practices. 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 this role and how your background makes you a great fit. Don’t forget to mention our commitment to inclusivity and how you can contribute to that culture.

Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s building data platforms or automating processes, we love seeing real-world examples of your work and how you’ve tackled challenges.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at Irwin Mitchell

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially Databricks, Azure Data Factory, and the Lakehouse Medallion architecture. Brush up on your knowledge of PySpark, Spark SQL, and CI/CD practices, as these will likely come up during technical discussions.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about examples where you designed scalable data platforms or implemented automation solutions. This will demonstrate your hands-on experience and ability to think critically under pressure.

✨Emphasise Collaboration

Since this role involves working closely with data engineers, architects, and business stakeholders, be ready to talk about your experience in collaborative environments. Share examples of how you’ve successfully translated complex requirements into effective solutions while fostering a team-oriented atmosphere.

✨Ask Insightful Questions

Prepare thoughtful questions that show your interest in the firm’s culture and values. Inquire about their approach to continuous learning and development, or how they support work-life balance. This not only shows your enthusiasm but also helps you gauge if the firm is the right fit for you.

Lead Data Platform Engineer (5873)
Irwin Mitchell

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>