Data Engineering Manager

About our Data & ML team:

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

Our Tech Stack

• 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.

Extra Kudos for Experience

• 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!