At a Glance
- 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 competitive salary, hybrid work model, 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 data engineering management with strong technical and people skills.
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.
Equal Opportunities
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 Bristol employer: adm-Indicia
At adm Indicia, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our hybrid work environment allows for flexibility while providing ample opportunities for professional growth and development in technology project management. With a strong commitment to continuous improvement and a supportive team atmosphere, we empower our employees to lead impactful transformation initiatives that drive success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and skills.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, having tangible examples of your work can really set you apart. Make sure to highlight any data solutions you've developed that align with the role you're applying for.
✨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 Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineering Manager role. Highlight your experience in managing data teams and any relevant technical skills that match the job description. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can lead our team to success. Be sure to mention specific projects or achievements that demonstrate your capabilities.
Showcase Your Technical Skills:Don’t forget to highlight your hands-on experience with cloud platforms like AWS, Azure, or GCP. Mention any modern data tools you've worked with, such as Snowflake or Airflow, as these are key to the role we’re hiring for.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at adm-Indicia
✨Know Your Data Engineering Stuff
Make sure you brush up on your technical knowledge, especially around data pipelines and cloud platforms like AWS, Azure, or GCP. Be ready to discuss your hands-on experience with modern data tools like Snowflake and Airflow, as well as how you've managed data quality and governance in past roles.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to lead a team effectively. Prepare examples of how you've supported and developed your team members in the past. Think about specific situations where you balanced workloads and managed expectations across multiple projects.
✨Understand the Business Needs
Familiarise yourself with the company's goals and how the Data Engineering team fits into the bigger picture. Be ready to discuss how you would partner with stakeholders to translate their requirements into actionable data solutions that align with business objectives.
✨Communicate Clearly
Practice articulating complex technical concepts in a way that's easy for non-technical audiences to understand. You might be asked to present your ideas during the interview, so think about how you can convey your thoughts clearly and concisely.
