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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: Flexible work with 2 days in the office and opportunities for growth.
- Why this job: Make a meaningful impact while mentoring others in a supportive environment.
- Qualifications: Experience with PII, document extraction, and a passion for clean coding.
- Other info: Potential to advance to Head of Data in a growing team.
The predicted salary is between 43200 - 72000 £ per year.
Are you a hands-on leader who loves crafting clean architecture and mentoring engineers how to do the same? 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
~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 Engineer/Data Engineer employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Engineer/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 and leading teams. Think of specific examples where you've helped junior engineers grow, as this role heavily emphasises leadership and mentorship.
✨Tip Number 3
Showcase your understanding of handling sensitive data, particularly PII. Be ready to talk about best practices you've implemented in previous roles to ensure data security and compliance.
✨Tip Number 4
Research the intersection of AI and health data. Being able to discuss current trends and challenges in mental health research will demonstrate your genuine interest in the mission of the company and how you can contribute.
We think you need these skills to ace Lead Engineer/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 position requires guiding a junior-heavy team.
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 implemented best practices in engineering.
Showcase Technical Skills: Include a section in your application that details your technical skills, especially those mentioned in the job description such as Kubernetes, Docker, and AWS. Provide examples of how you've used these technologies in past projects.
Highlight Relevant Achievements: Use quantifiable achievements to demonstrate your impact in previous roles. For instance, mention how you improved data processing times or optimised cloud usage, which aligns with the responsibilities of this role.
How to prepare for a job interview at trg.recruitment
✨Showcase Your Leadership Skills
As a Lead Engineer, it's crucial to demonstrate your leadership abilities. Be prepared to discuss your experience in mentoring junior engineers and how you've helped elevate their skills. Share specific examples of how you've led teams to success in previous projects.
✨Highlight Your Technical Expertise
Make sure to emphasise your proficiency with the technologies mentioned in the job description, such as Python, SQL, Spark, and Kafka. Prepare to discuss your experience building scalable data pipelines and any challenges you've faced while working with sensitive health data.
✨Discuss Best Practices
The company values clean code and strong documentation. Be ready to talk about your approach to defining test-driven and repeatable engineering practices. Provide examples of how you've implemented these practices in past roles to improve team efficiency and product quality.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills, especially regarding handling PII and document extraction. Think through potential challenges you might face in this role and how you would address them, showcasing your analytical thinking and technical knowledge.
