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- Tasks: Lead a team of data engineers and build scalable data pipelines.
- Company: Join a health-focused data team at the forefront of mental health research.
- Benefits: Enjoy flexible working with 2 days in the office and opportunities for growth.
- Why this job: Make a meaningful impact in mental health while advancing your technical skills.
- Qualifications: Experience with Python, SQL, and handling sensitive health data is essential.
- Other info: Potential to become the future Head of Data in a growing team.
The predicted salary is between 43200 - 72000 £ per year.
Help shape the future of mental health research. Are you a hands-on leader who loves crafting clean architecture and mentoring engineers? Do you enjoy building data pipelines that actually scale? Are you seeking a challenge as well as a mission that matters? Join a health-focused data team working at the intersection of research, AI and engineering. You’ll be the right hand to the Head of Engineering, helping elevate the team’s technical maturity, drive best practices and build something meaningful.
What you'll do:
- Lead and mentor a junior-heavy team of data engineers
- Build and scale robust pipelines using Spark, Kafka and Delta Lake
- Define test-driven, documented and repeatable engineering practices
- Work closely with AI, research and DevOps to deliver products and insights
- Handle sensitive health data (PII) and extract structured data from PDFs/docs
- Contribute to cost optimisation and smarter cloud usage
Where you'll do it: 2 days a week in the office (1 day in Oxford and 1 day in London)
Tech you'll use: Python, SQL, Spark, Kafka, Kubernetes, Docker, Airflow, RabbitMQ, AWS, Delta Lake
You’ll thrive here if you:
- Believe in clean code, strong documentation and a test-first mindset
- Enjoy mentoring and levelling up junior devs
- Have worked with PII and/or document extraction challenges
If you want to play a pivotal role in a growing team with an opportunity to become the future Head of Data, then don't miss this opportunity.
Lead Data Engineer employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Spark, Kafka, and Delta Lake. Having hands-on experience or projects showcasing your skills with these tools will make you stand out during discussions.
✨Tip Number 2
Prepare to discuss your experience with mentoring junior engineers. Think of specific examples where you've successfully guided others, as this role emphasises leadership and team development.
✨Tip Number 3
Showcase your understanding of handling sensitive health data and document extraction challenges. Be ready to share insights or strategies you've used in past roles that align with these responsibilities.
✨Tip Number 4
Research the company’s mission and values, especially their focus on mental health. Being able to articulate why you’re passionate about this field and how you can contribute to their goals will resonate well with the hiring team.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with technologies like Python, SQL, Spark, and Kafka. Emphasise any leadership roles or mentoring experiences you've had, as this is a key aspect of the position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for mental health research and how your skills align with the company's mission. Mention specific projects where you've built scalable data pipelines or led teams, showcasing your hands-on leadership style.
Showcase Technical Skills: Include a section in your application that details your technical skills, especially those mentioned in the job description such as AWS, Delta Lake, and document extraction. Providing examples of how you've used these technologies in past roles can strengthen your application.
Highlight Soft Skills: Since the role involves mentoring and collaboration, be sure to highlight your soft skills. Discuss your approach to teamwork, communication, and how you foster a positive learning environment for junior engineers.
How to prepare for a job interview at trg.recruitment
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll be expected to mentor junior engineers. Be prepared to discuss your previous leadership experiences and how you've successfully guided teams in the past.
✨Demonstrate Technical Proficiency
Familiarise yourself with the technologies mentioned in the job description, such as Spark, Kafka, and Delta Lake. Be ready to discuss specific projects where you've used these tools to build scalable data pipelines.
✨Emphasise Clean Code and Documentation
The role values clean architecture and strong documentation. Prepare examples of how you ensure code quality and maintain thorough documentation in your projects.
✨Discuss Handling Sensitive Data
Since the position involves working with sensitive health data, be ready to talk about your experience with PII and document extraction challenges. Highlight any best practices you follow to ensure data security.
