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- Tasks: Lead a talented Data Engineering team to create reliable data pipelines and solutions.
- Company: Join a forward-thinking company committed to diversity and innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on best practices and career development.
- Why this job: Make a real impact by delivering high-quality data solutions that drive business success.
- Qualifications: 5+ years in managing Data Engineering teams and strong technical skills in cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
We're looking for a Data Engineering Manager who will be responsible for leading and developing our small but talented Data Engineering team to meet ever-increasing demands for reliable, robust data pipelines to ingest data into our Data Platform and supply consistent, trustworthy datasets to other teams across the business. The role will lead and develop a team of data engineers, partner closely with stakeholders across the organisation, and ensure best practices in data quality, governance, and platform reliability. This is a hybrid role, with an expectation to be in the Bristol office 2 days per week. Occasional travel may be required for client or internal meetings, both in the UK and abroad.
Responsibilities
- Lead and develop the Data Engineering team, ensuring timely, high‑quality delivery aligned to business and client needs.
- Own the planning and execution of data solutions and products, balancing priorities, resources, timelines and budgets.
- Ensure the delivery of reliable, scalable and secure data infrastructure that supports both internal and client‑facing use cases.
- Partner closely with stakeholders across the business to translate requirements into actionable data solutions and manage expectations.
- Provide expert Data Engineering input to Sales, Client Services and Project Management, supporting commercial and delivery outcomes.
- Drive best practice across Data Engineering and Architecture, including data quality, testing, observability and documentation.
- Collaborate with platform and architecture colleagues to evolve and operate the data platform in line with the agreed roadmap.
Skills and Experience
- 5+ years experience managing high-performing Data and/or Analytics Engineering teams in a commercial environment.
- Hands‑on experience working in a modern cloud platform. AWS preferred, but experience of Azure and/or GCP is also beneficial.
- Strong technical experience as a Data or Analytics Engineer.
- Highly effective people management skills, with a history of supporting Engineers to grow and develop.
- Excellent organisational and project management skills, with experience balancing workloads against business demands across multiple projects in parallel.
- Good commercial awareness, conscious of cost optimisation and resource planning.
- Experience of working within delivery frameworks such as Agile or Lean.
- Strong skills in Project Management tools such as Jira or Azure DevOps.
- Demonstrable ability to articulate technical concepts clearly and concisely, including presenting to a blend of technical and non-technical audience.
- Excellent verbal and written English.
- The ability to support and potentially step in on bits of delivery where needed.
- Experience with modern data tools such as Snowflake, dbt, Airflow and Dagster would be advantageous.
adm-Indicia is proud to be an equal opportunity employer and is committed to creating a diverse environment. We recruit, employ, develop, compensate, and promote regardless of race, religion, colour, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. Should you need any reasonable adjustments made to this application process, please don't hesitate to let us know.
Data Engineering Manager in England employer: adm-Indicia
Contact Detail:
adm-Indicia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data pipelines and cloud platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and people management skills. Be ready to discuss how you've led teams and tackled challenges in previous roles. We want to see your passion for data engineering shine through!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Engineering Manager in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineering Manager role. Highlight your experience in managing data teams and any hands-on work with cloud platforms like AWS, Azure, or GCP. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how you can lead our team to success. Be sure to mention any relevant projects or achievements that showcase your leadership skills.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Mention any modern data tools you've worked with, like Snowflake or Airflow, and how you've applied them in real-world scenarios. We love seeing practical examples of your work!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at adm-Indicia
✨Know Your Data Tools
Make sure you brush up on your knowledge of modern data tools like Snowflake, dbt, Airflow, and Dagster. Be ready to discuss how you've used these tools in past projects and how they can benefit the team you're looking to lead.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in managing high-performing teams. Think about specific challenges you've faced and how you supported your engineers to grow and develop. This will demonstrate your people management skills effectively.
✨Understand Stakeholder Needs
Familiarise yourself with the importance of partnering with stakeholders across the business. Be prepared to discuss how you would translate their requirements into actionable data solutions, ensuring you manage expectations throughout the process.
✨Be Agile and Organised
Since the role involves balancing multiple projects, showcase your organisational skills. Talk about your experience with Agile or Lean delivery frameworks and how you've successfully managed workloads against business demands in the past.