At a Glance
- Tasks: Lead a dynamic team to build innovative data platforms and drive decentralised data adoption.
- Company: Join a forward-thinking tech company focused on data and AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by shaping the future of data-driven decision-making.
- Qualifications: Proven experience in leading data engineering teams and strong technical background.
The predicted salary is between 70000 - 90000 £ per year.
Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers. We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry consumers and platforms across the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we’re expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the next phase of consolidation and growth.
About the Role
We are looking for an experienced Engineering Manager to join our London-based data team and help us (re-)build a platform that accelerates a decentralised-by-design data adoption model within the business. We care about providing trustable, usable data that meets business needs. We want you to create and lead a high-performing team that delivers on this mission. Whilst this is not a role that requires hands‑on software development, we are looking for an experienced manager who has a strong delivery and technical background. You’ve been a software or data engineer in the past and now thrive in building and connecting technical teams to business outcomes.
Your Daily Adventure at Storio
- Primary Responsibilities include
- People Management - Lead a cross‑functional mission‑led team of 5-8 data engineers and analytics of mixed seniority. Coach individuals to grow their career, increase mastery and autonomy whilst holding them accountable for high performance. Own the recruitment process for your team. Accountable for team health, fostering an open and collaborative feedback culture.
- Delivery/Execution - Partner with a Product Manager to define initiatives aligned with our OKRs and strategy, scope projects and define milestones. Communicate with key stakeholders at all levels. Accountable for delivery performance of the team. Accountable for team processes and ways of working. Drive continuous improvement on key metrics such as business value, cost efficiency, speed, and quality of delivery. Own resolution of cross‑team dependencies.
- Technical excellence - Oversee design decisions owned by the principal engineer of the team and domain. Cultivate best engineering practices within the software development lifecycle. Balance tech health and quality excellence with time to delivery. Create opportunities for technical exploration and innovation within your team.
- Cross‑team leadership - Influence decision‑making across the technical organisation as part of a wider community of engineering managers and technical leaders. Establish partnerships within and outside the domain to amplify the impact of your team. Lead in‑domain standardisation efforts on people, process and technology. Own your team’s people and tech budgets in relation to the value created by the team within the business.
Cloud Data Warehouse - Snowflake
AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda
Data Governance & Quality - Collate & Monte Carlo
Infrastructure as Code - Terraform
Data Integration & Transformation - Python, DBT, Fivetran, Airflow
CI/CD - Github Actions / Jenkins
What You Bring to the Party
- Solid track record of building and leading high‑performance data and analytics engineering teams.
- Experience in navigating a complex enterprise‑wide customer landscape with competing priorities.
- Experience in building platforms‑as‑a‑product through agile delivery methods and in lockstep with product managers, senior engineers and data governance leads.
- Experience guiding teams to make significant technical data and analytics engineering decisions spanning source data ingest to consumption.
- Excellent communication skills, making complex topics simple, transparent and easy to act upon.
- Prior experience as a senior software or data engineer.
- A degree in a STEM field, e.g. Computer Science, Software Engineering, Mathematics.
- Knowledge of the ecommerce domain.
- Understanding of data architecture paradigms and their applicability to business needs.
Sounds exciting? Apply now with your resume and cover letter!
Engineering Manager (Data) employer: Dormont Manufacturing Co
At Storio, we pride ourselves on being an exceptional employer, particularly for those in the Engineering Manager role within our dynamic London-based data team. Our collaborative work culture fosters innovation and personal growth, offering employees the chance to lead high-performing teams while driving impactful projects that shape the future of data and AI. With a commitment to continuous improvement and a focus on employee development, we provide a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager (Data)
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. Ask them about their experiences and the company culture; it’ll give you insider info that can help you stand out in interviews.
✨Tip Number 2
Prepare for those tricky interview questions! Think about how your past experiences align with the role of Engineering Manager. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your leadership skills.
✨Tip Number 3
Show off your passion for data and AI! During interviews, share your thoughts on recent trends in the industry and how they could impact the company. This shows you’re not just looking for a job, but you’re genuinely interested in contributing to their mission.
✨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 serious about joining our team and ready to dive into the exciting work we do.
We think you need these skills to ace Engineering Manager (Data)
Some tips for your application 🫡
Tailor Your Resume:Make sure your resume reflects the skills and experiences that align with the Engineering Manager role. Highlight your past experience in leading data teams and any relevant technical background to show us you’re the right fit.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re passionate about this role. Share your vision for building high-performing teams and how you can contribute to our mission of decentralised data adoption.
Showcase Your Communication Skills:Since communication is key in this role, make sure your application demonstrates your ability to simplify complex topics. Use clear and concise language to convey your thoughts and ideas effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Data Inside Out
Make sure you brush up on the latest trends in data engineering and AI. Understand how they apply to the role of Engineering Manager and be ready to discuss how you can leverage these technologies to drive business outcomes.
✨Showcase Your Leadership Style
Prepare examples that highlight your experience in leading high-performance teams. Think about how you've coached individuals, fostered collaboration, and maintained team health in previous roles. Be ready to discuss your approach to people management.
✨Align with Business Goals
Familiarise yourself with the company's objectives and how the data team contributes to them. Be prepared to discuss how you would partner with product managers to define initiatives that align with OKRs and drive value for the business.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with stakeholders at all levels, so being able to break down intricate topics will show your ability to lead and influence across the organisation.
