At a Glance
- Tasks: Join our team to build and maintain data models that drive our business.
- Company: Swap, an innovative AI-native platform transforming global commerce.
- Benefits: Competitive salary, stock options, wellness benefits, and flexible PTO.
- Other info: Diverse and inclusive culture focused on creativity and shared ownership.
- Why this job: Make a real impact in a fast-paced, collaborative environment with high ownership.
- Qualifications: 3+ years in data roles, strong SQL skills, and experience with dbt.
The predicted salary is between 36000 - 60000 £ per year.
About Swap
Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we’re building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works.
About the Role
We’re looking for a passionate and pragmatic Analytics Engineer to join our Analytics Engineering team, helping to scale our stack for a new data-driven era at Swap. This is an important contributor role within the team, offering a good degree of ownership and the chance to help build a scalable, modern data architecture. You’ll build and maintain the data models that power our entire business—from internal commercial insights for Sales and Finance to the trusted data sets enabling customer-facing agentic systems. We need a hands-on builder excited to contribute to our high-quality dbt project, help shape our analytics vision, and support the scaling of our models as we grow. If you thrive in a fast-paced, collaborative team with high ownership and impact, we’d love to hear from you!
Key responsibilities
- dbt Development: Scale our dbt project, shaping its architecture and CI/CD processes to support company-wide initiatives.
- Data Modelling & Architecture: Contribute to our data modelling strategy, helping to build and maintain the core set of performant, scalable, and trusted data models that power all downstream consumers—from our internal BI tool to our customer-facing agentic systems and analytics APIs.
- Data Quality & Governance: Champion and implement robust data quality standards, PII governance, testing, and documentation to ensure our data is trustworthy and reliable as we scale.
- Stakeholder Partnership: Partner with commercial (Sales, Finance) and product teams on data needs, assisting in translating business questions into data requirements and helping to manage delivery expectations.
- BI & Self-Service Enablement: Contribute to the development and refinement of foundational data assets in our BI tool (Lightdash), helping stakeholders and analysts access insights effectively.
What we would like to see
- 3+ years of experience in a data-focused role such as Analytics Engineering, Data Engineering, or BI Development, or equivalent academic experience.
- Hands-on experience with dbt (dbt Core/Cloud).
- Strong proficiency in SQL and good understanding of data modelling patterns.
- Experience with a modern cloud data warehouse (Snowflake, BigQuery etc).
- Experience with version control using Git.
- Good communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.
- A detail-oriented mindset with a willingness to learn and contribute to building trustworthy data products.
Benefits
- Competitive base salary.
- Stock options in a high-growth startup.
- Competitive PTO with public holidays additional.
- Private Health.
- Pension.
- Wellness benefits.
- Breakfast Mondays.
Diversity & Equal Opportunities
We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn’t just the right thing to do; it’s also the smart thing.
Analytics Engineer employer: Swap
At Swap, we pride ourselves on being an exceptional employer that fosters a culture of clarity, creativity, and shared ownership. As an Engineering Team Lead, you will not only lead a dynamic team in a greenfield project but also enjoy ample opportunities for professional growth in a fast-paced, high-growth environment. Our commitment to innovation and collaboration ensures that every employee can contribute meaningfully while benefiting from a supportive work culture that values both individual and team success.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving dbt and data modelling. 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 common analytics questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Swap.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your experience with dbt, SQL, and any relevant data modelling projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for data and analytics. Share specific examples of how you've contributed to data projects in the past and why you're excited about joining Swap. Let your personality shine through!
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with modern cloud data warehouses like Snowflake or BigQuery. We love seeing candidates who can demonstrate their technical prowess, so be sure to include any relevant projects or achievements.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on being part of our team at Swap!
How to prepare for a job interview at Swap
✨Know Your dbt Inside Out
Make sure you’re well-versed in dbt, as it’s a key part of the role. Brush up on your experience with dbt Core/Cloud and be ready to discuss how you've used it in past projects. Think about specific examples where you’ve shaped architecture or improved CI/CD processes.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling and architecture. Have a few examples ready that demonstrate how you’ve built scalable and performant data models. Highlight any challenges you faced and how you overcame them to ensure data quality and governance.
✨Communicate Like a Pro
Since you'll be collaborating with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Be ready to share how you’ve translated business questions into data requirements in previous roles, showcasing your communication skills.
✨Be Ready for Problem-Solving
Expect some scenario-based questions that test your analytical thinking. Prepare to discuss how you would approach a data-related problem or a situation where you had to manage delivery expectations with stakeholders. This will show your pragmatic side and ability to thrive in a fast-paced environment.
