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For Companies At a Glance
- Tasks: Lead the design and development of scalable data platforms to drive business innovation.
- Company: Join Storio Group, a dynamic company transforming memories into personalised photo products.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data strategies that enhance customer experiences.
- Qualifications: Proven experience in data engineering and strong leadership skills required.
- Other info: Collaborative environment with a focus on continuous improvement and learning.
The predicted salary is between 43200 - 72000 £ per year.
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.
Principal Data Engineer in London employer: Albelli
Contact Detail:
Albelli Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with our team on 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
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. We love seeing what you can do!
✨Tip Number 3
Prepare for those interviews! Research common data engineering questions and practice your answers. Don’t forget to brush up on our tech stack – knowing Snowflake and AWS will definitely give you an edge.
✨Tip Number 4
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 awesome team at Storio.
We think you need these skills to ace Principal Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal Data Engineer role. Highlight your data engineering expertise, technical leadership, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your experience aligns with our goals at Storio Group. Be genuine and let your personality come through – we love to see the real you!
Showcase Your Technical Skills: In your application, don't forget to mention your proficiency in data manipulation languages like SQL and Python, as well as your experience with cloud services. We’re keen to know how you’ve applied these skills in past roles to drive impactful results.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Albelli
✨Know Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like Snowflake, AWS services, and Python. Be ready to discuss your experience with these tools and how you've used them to solve real-world problems.
✨Showcase Your Leadership Skills
As a Principal Data Engineer, you'll need to demonstrate your ability to lead technical discussions and mentor junior engineers. Prepare examples of how you've influenced technical strategy and fostered a culture of excellence in your previous roles.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll be working with cross-functional teams, so being able to communicate effectively with both technical and non-technical audiences is crucial.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Brush up on your data engineering principles and be ready to walk through your thought process on how you would approach solving specific problems related to data architecture or ETL processes.
