Principal Data Engineer

Role description

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.
Who We’re Looking For

We are looking for an experienced Principal Data Engineer 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 own and drive technical excellence within your team to make this organisation-level change happen.
You’re a software engineering technical leader at heart. You thrive in the data engineering and analytics engineering domain. You care deeply about customer outcome-focused data engineering excellence.
Areas of Expertise

Technical Leadership

Extensive experience in data engineering, including designing, building, and maintaining robust and scalable data platforms that enable key business initiatives
Proven ability to lead technical design and architecture discussions, influencing technical strategy and decisions across the organization
Experience mentoring and coaching junior engineers, fostering a culture of technical excellence within the team
Data Engineering Expertise

Deep understanding of data engineering principles and best practices, including data modeling, observable ETL/ELT processes, data warehousing, and data governance
Proficiency in data manipulation languages (e.g., SQL/DBT) and programming languages relevant to data engineering (e.g., Python)
Experience with a variety of data processing frameworks and technologies, including cloud-based data services
Software Engineering Practices

Experience with software development lifecycle (SDLC) best practices, including version control (e.g., Git), testing, and continuous integration/continuous delivery (CI/CD)
A focus on building high-quality, maintainable, and well-documented code
Collaboration and Communication

Exceptional communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences
Proven ability to work effectively in a cross-functional team environment, collaborating with product managers, analysts, and other stakeholders
Proven effective influencer, capable of driving change outside of your direct team, contributing to the wider engineering community
Education

A degree in a STEM field (e.g., Computer Science, Software Engineering, Mathematics) or equivalent practical experience
Your Daily Adventure at Storio

Collaborate effectively within a cross-functional, mission-led team, led by a product manager and engineering manager, contributing to the team’s strategy, roadmap, and OKRs
Define and champion technical principles and practices to raise the bar on implementing a well-engineered, well-governed data platform that meets the needs of our customers
Be accountable for the technical health of your team’s codebase, driving continuous improvement and establishing metrics to track progress
Lead technical solution design on multiple complex initiatives within your team, demonstrated by successful and timely implementation, driving resolutions for complex and difficult problems
Drive continuous improvement on key metrics such as business value, cost efficiency, speed, and quality of delivery
Coach a team of data and analytics engineers on best practices in the software development lifecycle, delivering high-quality software through your own work, and fostering a feedback culture within the team
Influence key decision-making across the data and ML engineering domain on technical approaches to balance delivering near-term commercial impact and building long-term foundations
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
Nice To Have Experience

Understanding of various data architecture paradigms (e.g., Data Lakehouse, Data Warehouse, Data Mesh) and their applicability to different business needs
Experience with data governance principles and practices, ensuring data quality, accuracy, and compliance
Familiarity with data security best practices and technologies
Experience in the e-commerce domain
About Us

At Storio Group, we help people hold onto life’s moments. We make personalised photo products that turn fleeting memories into things you can keep, share, and re-live.
Every person at Storio Group helps create our products and shape our company. You will see the impact of your work daily. We invite you to make your mark on our business, products, and customers' lives.
We act with heart by putting people first and valuing diverse perspectives. We give our best and aim for high standards in all we do. We own our work, taking initiative to find solutions. We embrace curiosity, always learning and trying new things. We find the joy in our work and create a positive environment.

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