Make Your Mark as an Engineering Manager at Storio group
About the role:
We are looking for a Data 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. If you're a software engineering manager with experience in the data world, we want to hear from you.
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.
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
How you embrace curiosity daily
Lead a cross-functional mission-led team of 5-8 data engineers of mixed seniorityOwn the recruitment process for your teamPartner with a Product Manager to define initiatives aligned with our OKRs and strategy, scope projects and define milestonesOversee design decisions owned by the principal engineer of the team and domainCultivate best engineering practices within the software development lifecycleInfluence decision-making across the technical organisation as part of a wider community of engineering managers and technical leaders
How you make your mark
Coach individuals to grow their career, increase mastery and autonomy whilst holding them accountable for high performanceCreate opportunities for technical exploration and innovation within your teamDrive continuous improvement on key metrics such as business value, cost efficiency, speed, and quality of deliveryLead in-domain standardisation efforts on people, process and technology
What you bring to the team
Track record of building and leading high-performance data and analytics engineering teamsExperience in navigating a complex enterprise-wide customer landscape with competing prioritiesExperience in building platforms-as-a-product through agile delivery methods and in lockstep with product managers, senior engineers and data governance leadsExperience guiding teams to make significant technical data and analytics engineering decisions spanning source data ingest to consumptionExcellent communication skills, making complex topics simple, transparent and easy to act upon
What sets you apart
A degree in a STEM field, e.g. Computer Science, Software Engineering, MathematicsKnowledge of the ecommerce domainUnderstanding of data architecture paradigms and their applicability to business needs
