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: Experience with data platforms, cloud environments, and strong coding skills required.
- 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.
Your Role and What You'll Be Doing
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.
About You
Key Responsibilities
- 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.
Proven experience designing and engineering data platforms in cloud environments (preferably Azure). Strong hands‑on experience with Databricks, PySpark, Spark SQL, and Azure Data Factory. Proficiency in Python and RESTful API development. Advanced expertise in DevOps practices for CI/CD and automated deployments. Experience with infrastructure‑as‑code tools (Terraform, ARM templates). Experience with additional Azure services (Fabric, Functions, Logic Apps). Data Lakehouse architecture. Background in regulated or professional services environments.
Our Benefits – What We Can Offer You
- 25 days holidays as standard plus bank holidays – You can ‘buy’ up to 35hrs of extra holiday too.
- 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.
Additional Information
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. We’re proud of our values, and we’re looking for people who share them.
Lead Data Platform Engineer (5873) employer: Irwin Mitchell LLP
Contact Detail:
Irwin Mitchell LLP 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 at the firm through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your interview. It’s all about making connections!
✨Tip Number 2
Prepare for the technical side! Brush up on your skills with Databricks, PySpark, and Azure Data Factory. We recommend doing some hands-on projects or coding challenges to showcase your expertise during interviews.
✨Tip Number 3
Show your passion for data! Be ready to discuss how you’ve used data to solve real-world problems. Share specific examples that highlight your problem-solving skills and how you can make a difference in the firm.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and being part of our inclusive culture.
We think you need these skills to ace Lead Data Platform Engineer (5873)
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 projects that showcase your skills in data platform solutions.
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 aligns with our values. Don’t forget to mention your hands-on experience and leadership skills!
Showcase Your Technical Skills: In your application, be specific about your technical expertise. Mention your proficiency in PySpark, Python, and RESTful API development, as well as your experience with CI/CD pipelines and infrastructure-as-code tools.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Irwin Mitchell LLP
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Azure Data Factory, and the Lakehouse Medallion architecture. Brush up on your PySpark and Spark SQL skills, 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 CI/CD pipelines, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with the legal sector and how data plays a role in it. Being able to articulate how your work can help the firm manage, analyse, and leverage data effectively will show that you understand their needs.
✨Emphasise Collaboration and Mentorship
Since the role involves coaching and mentoring, be ready to share your experiences in leading teams or collaborating with stakeholders. Highlight how you foster a culture of continuous learning and technical excellence within your team.