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- Tasks: Lead a talented team to build and maintain data pipelines and tools.
- Company: Join a forward-thinking product company making a global impact.
- Benefits: Enjoy hybrid working with one day in the Brighton office.
- Why this job: Be part of a dynamic team, shaping data solutions and driving innovation.
- Qualifications: Experience in leading data teams and expertise in Python, SQL, and cloud platforms required.
- Other info: This role does not offer visa sponsorship.
The predicted salary is between 43200 - 72000 £ per year.
Are you a Data Engineering leader ready to make a global impact? Do you thrive in a role where technical ownership, people leadership, and strategic vision come together? Have you built or evolved robust data pipelines in a modern cloud ecosystem? If you’re nodding along, keep reading — this could be your next big move.
Our client, a forward-thinking product company, is looking for a Data Engineering Manager to lead a small, talented team in scaling their product catalogue ingestion platform on a permanent basis.
What you’ll do:
- Lead and mentor a high-performing team of Data Engineers
- Act as a subject matter expert across data initiatives
- Gather and translate stakeholder needs into technical solutions
- Build and maintain robust pipelines and self-service tools
- Ensure data quality through automated testing and governance
- Troubleshoot issues and maintain system reliability
- Promote best practices, tools, and standards across the team
What we’re looking for:
- Proven track record leading and mentoring data engineering teams
- Strong grasp of the full data lifecycle and ELT best practices
- Expertise in large-scale data processing and pipeline optimisation
- Proficient in Python, SQL, and cloud platforms (AWS or similar)
- Hands-on with Airflow, Fivetran, Snowflake, Docker (or equivalents)
- Experience with real-time and batch data pipelines
Ready for your next move? Apply now or send your CV across to chinmaye.ramnath@james-chase.com. This role is hybrid working with one day a week in the office in Brighton and does not offer visa sponsorship.
Data Engineering Manager (Brighton And Hove) employer: James Chase
Contact Detail:
James Chase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager (Brighton And Hove)
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with cloud platforms like AWS. Attend local meetups or online webinars to connect with potential colleagues and learn about industry trends.
✨Tip Number 2
Showcase your leadership skills by sharing examples of how you've successfully mentored teams in the past. Consider discussing specific projects where you led a team to overcome challenges or achieve significant results.
✨Tip Number 3
Familiarise yourself with the tools mentioned in the job description, such as Airflow, Fivetran, and Snowflake. If you haven't used them before, consider taking online courses or tutorials to gain hands-on experience.
✨Tip Number 4
Prepare to discuss your approach to ensuring data quality and governance. Be ready to share strategies you've implemented in previous roles to maintain system reliability and promote best practices within your team.
We think you need these skills to ace Data Engineering Manager (Brighton And Hove)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading data engineering teams and your technical skills in Python, SQL, and cloud platforms. Use specific examples of projects where you've built or optimised data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and leadership. Mention how your strategic vision aligns with the company's goals and how you can contribute to their product catalogue ingestion platform.
Showcase Relevant Experience: When detailing your work history, focus on your achievements in data processing and pipeline optimisation. Include metrics or outcomes that demonstrate your impact, such as improved data quality or system reliability.
Highlight Soft Skills: Since this role involves mentoring and team leadership, emphasise your soft skills. Discuss your approach to fostering collaboration and promoting best practices within your team.
How to prepare for a job interview at James Chase
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully guided teams in the past, focusing on your leadership style and the impact it had on project outcomes.
✨Highlight Technical Expertise
Be ready to discuss your technical skills in Python, SQL, and cloud platforms like AWS. Prepare to explain how you've built or optimised data pipelines, and be specific about the tools you've used, such as Airflow or Snowflake.
✨Understand Stakeholder Needs
The role requires translating stakeholder needs into technical solutions. Think of instances where you've gathered requirements from non-technical stakeholders and successfully delivered on their expectations. This will show your ability to bridge the gap between technical and non-technical teams.
✨Emphasise Data Quality and Governance
Data quality is crucial in this role. Be prepared to discuss your experience with automated testing and governance practices. Share examples of how you've ensured data integrity and reliability in previous projects, as this will resonate well with the interviewers.
