Senior Data Engineer (Product)
Description
We're not just building an ecommerce platform. We’re reshaping how fashion & lifestyle brands scale globally.
Our API-first, headless SaaS platform supports over 300 brands in delivering localized, high-performance shopping experiences across 120+ countries. Backed by a 50 million SEK investment from the H&M Group, we power leading names like COS, ARKET, & Other Stories, Weekday, Nudie Jeans, and Paul Smith. Brands trust Centra to run operations in 20+ markets - a reflection of the platform’s flexibility and efficiency.
Why Join Centra?
You will build and own the data backbone of our new Data & Insights module. New team, greenfield development, everything to play for.
You’ll take raw transactional data from our clients and transform it into high-performance “gold tables” that power real-time and analytical dashboards, making key architectural decisions along the way to ensure scalability, reliability, and speed.
What You’ll Do.
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Build data pipelines. Design and orchestrate near real-time data ingestion from client databases (CDC, AWS DMS, GCP Datastream, Azure Data Factory/Fabric, etc.)
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Standardise metrics. Define and implement a single source of truth for key fashion KPIs using SQL and transformation tools (dbt, Dataform, etc.)
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Own performance and scalability so that everything goes faster. Architect caching and performance layers to support fast, reliable dashboards across 300+ clients, making pragmatic trade-offs between cost, latency and complexity.
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Develop APIs. Design and maintain serverless APIs (e.g. Lambda, Cloud Run) that power the frontend experience.
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Expand data sources. Evaluate, ingest, and integrate new third-party data sources alongside existing datasets.
What We’re Looking For.
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Experience building and owning data platforms or products from scratch, including making architectural decisions.
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Expert-level SQL and strong experience modelling complex business domains.
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Proven ability to design scalable data systems in a cloud-native environment (AWS, GCP, or similar.)
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Comfortable making independent technical decisions within a product context, balancing speed, quality, and long-term maintainability.
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Strong product thinking/product engineering mindset. You don’t just build tables, you understand how data drives decisions for customers and why a brand needs this data.
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Experience with Infrastructure as Code (Terraform or CDK.)
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MLOps experience is a plus
You might be a senior data or analytics engineer who enjoys owning problems end-to-end, or a tech lead who prefers to stay hands-on while shaping architecture and product direction. Either way, you're excited about a role building a new module within an established company tackling complex problems in the e-commerce space.
Our Recruitment Process.
Introductory Interview : Meet our recruiter, discuss your experience and expectations. ( Online, 30–45 min )
Technical Interview : Dive into technical discussions. ( Online or onsite 1.5–2h )
Ways of Working Interview : Explore your alignment with our values and meet the team. ( Online or onsite, 1h )
Location and Logistics.
This team is Wroclaw or Stockholm based. We operate an office-first, hybrid working model. You can work up to ten days per month remote.
Equality.
We’re committed to fair, inclusive hiring and to building a team with diverse perspectives. If you need adjustments during the process, please let us know.