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- Tasks: Lead the evolution of Selfridges’ Enterprise Data Platform and mentor a team of engineers.
- Company: Join Selfridges, a leader in delivering extraordinary customer experiences through innovative technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data solutions and make a real impact on customer experiences.
- Qualifications: Experience in data engineering, Snowflake, AWS, Python, and team leadership.
- Other info: Collaborative environment with a focus on engineering excellence and career development.
The predicted salary is between 48000 - 72000 £ per year.
About Selfridges
Here at Selfridges our customers are at the heart of everything we do, and we want to be known for delivering the best, most extraordinary experiences that keep our customers coming back. We are on a journey to build flexible, innovative technology platforms that create inspiring and effortless experiences across all our customer touchpoints.
A Bit About The Role
We’re looking for a Tech Lead to help evolve Selfridges’ Enterprise Data Platform (EDP), the foundation that powers insights, personalisation, and data-driven decision-making across the business. In this role, you’ll be a leader in shaping the technical direction for our Snowflake-based data ecosystem while supporting the Architecture function. You’ll work across Python, AWS, and Salesforce Data Cloud, helping to design, build, and optimise the pipelines and integrations that connect our digital, store, and enterprise systems. Alongside your technical delivery, you’ll mentor and line manage engineers, helping them grow their skills and ensuring best practices are embedded across the team. You’ll collaborate closely with architects, analysts, and product teams to deliver secure, performant, and scalable data solutions that enable world-class experiences for our customers. This is a hybrid role working from home and our offices in either London or Leicester.
Key Responsibilities
- Lead and contribute to defining the technical direction and standards of the Enterprise Data Platform in collaboration with architecture and engineering leads
- Support the Architecture function in designing scalable data models and integration patterns
- Lead by example through hands-on design and development of data pipelines in Python, SQL, and AWS services (Lambda, Glue, Step Functions, S3)
- Help evolve and maintain the Snowflake environment, focusing on optimisation, governance, and performance
- Collaborate on integrations between Snowflake, Salesforce, and enterprise systems, including future Salesforce Data Cloud enablement
- Partner with Power BI and analytics teams to ensure data reliability and accessibility for dashboards, insights, and reporting
- Work with DevOps and Platform Engineering to enhance CI/CD, observability, and automation practices for data workloads
- Drive a strong focus on data quality, reusability, and performance across all ingestion and transformation layers
- Line manage and mentor a team of data engineers, conducting regular 1:1s, supporting development plans, and fostering a collaborative, inclusive engineering culture
- Collaborate across squads and domains to align data platform delivery with Selfridges’ wider digital and customer experience strategies
A Bit About You
- Experienced data engineer or technical lead, ideally with previous line management or mentorship experience
- Strong hands-on experience with Snowflake and AWS data services (Lambda, Glue, Step Functions, S3, SNS/SQS)
- Proficient in Python and SQL, building reliable and maintainable ETL/ELT pipelines
- Solid understanding of data modelling (dimensional, star schema, or modern data mesh concepts)
- Experience integrating with Salesforce (CRM, APIs, or Data Cloud)
- Familiar with Power BI or similar BI tools for downstream analytics and reporting
- Knowledge of CI/CD, infrastructure as code (Terraform or CDK), and modern observability tooling
- Skilled communicator and collaborator, able to work effectively with architects, product managers, and cross-functional teams
- Passionate about engineering excellence, team development, and delivering data solutions that drive real business impact
- Enthusiastic about mentoring and supporting engineers’ growth, with a track record of building high-performing teams
Desirable
- Experience with dbt, Airflow, or Dagster
- Familiarity with event-driven architectures (EventBridge, Kafka, SNS/SQS)
- Exposure to data governance, security, and compliance frameworks
- Background in retail, loyalty, or customer data platforms
- Experience working with or implementing Salesforce Data Cloud integrations
- Awareness of AI/ML data readiness practices, including feature engineering, dataset curation, and model-serving pipelines
- Familiarity with Snowflake Cortex, AWS Bedrock, or other cloud-native AI/ML services for data enrichment and automation
- Interest in emerging GenAI and LLM use cases for personalisation, recommendation systems, and intelligent automation
Software Tech Lead - Data & AI employer: Selfridges
Contact Detail:
Selfridges Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Tech Lead - Data & AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Selfridges or similar companies. A friendly chat can lead to insider info about job openings and even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, AWS, and Snowflake. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and leadership. Remember, they want to see how you think and solve problems, so be ready to share your thought process!
✨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 genuinely interested in joining the Selfridges team and contributing to their mission.
We think you need these skills to ace Software Tech Lead - Data & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Software Tech Lead role. Highlight your hands-on experience with Snowflake, AWS, and Python, as well as any leadership roles you've had. 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 background makes you a perfect fit for Selfridges. Don’t forget to mention your enthusiasm for mentoring and team development!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing real-world applications of your skills, especially those involving data pipelines and integrations. It helps us understand your practical experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Selfridges!
How to prepare for a job interview at Selfridges
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Snowflake, AWS services, Python, and SQL. Brush up on your experience with data pipelines and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Leadership Skills
Since this role involves mentoring and managing a team, prepare examples of how you've successfully led teams in the past. Think about times when you’ve fostered collaboration or helped someone grow their skills, as this will demonstrate your ability to lead by example.
✨Understand Selfridges’ Customer-Centric Approach
Research Selfridges and their commitment to customer experiences. Be prepared to discuss how your technical decisions can enhance customer interactions and drive business impact, aligning your answers with their mission to deliver extraordinary experiences.
✨Prepare for Collaborative Scenarios
Expect questions about working with cross-functional teams, such as architects and product managers. Have examples ready that illustrate your collaborative approach and how you’ve successfully integrated feedback from various stakeholders into your projects.
