JustJoin.IT Hybrydowo Senior

Senior Data Engineer

Centra

⚲ Wrocław

Do uzgodnienia

Wymagania

  • AWS
  • Infrastructure as Code/IaC
  • ETL
  • Data Pipelines
  • GCP
  • dbt/Dataform
  • Terraform
  • Data modeling
  • SQL

Opis stanowiska

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. It’s a brand new team, greenfield development, everything to play for.
You’ll take raw transactional data from our clients and transform it into a high-performance analytics engine that powers real-time and analytical dashboards, making key architectural decisions along the way to ensure scalability, reliability, and speed.

What You’ll Do.
• Build data pipelines. Design and orchestrate near real-time data ingestion from client databases (CDC, AWS DMS, GCP Datastream, Azure Data Factory/Fabric, etc.)
• Standardise metrics. Define and implement a single source of truth for key fashion KPIs using SQL and transformation tools (dbt, Dataform, etc.)
• 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.
• Develop APIs. Design and maintain serverless APIs (e.g. Lambda, Cloud Run) that power the frontend experience.
• Expand data sources. Evaluate, ingest, and integrate new third-party data sources alongside existing datasets.

What We’re Looking For.
• Experience building and owning data platforms or products from scratch, including making architectural decisions.
• Expert-level SQL and strong experience modelling complex business domains.
• Proven ability to design scalable data systems in a cloud-native environment (AWS, GCP, or similar.)
• Comfortable making independent technical decisions within a product context, balancing speed, quality, and long-term maintainability.
• 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.
• Experience with Infrastructure as Code (Terraform or CDK.)
• 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)
This is an office-first/hybrid role based in Wroclaw.

🔍 Dekoder Ogłoszenia

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We're not just building an ecommerce platform. We’re reshaping how fashion & lifestyle brands scale globally.
Firma pozycjonuje się jako innowator, ale może to oznaczać, że obecna platforma jest w fazie rozwoju i wymaga znaczących usprawnień.
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It’s a brand new team, greenfield development, everything to play for.
Oznacza to brak istniejących rozwiązań i procesów, co może prowadzić do chaosu i konieczności samodzielnego definiowania wszystkiego od zera.
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making key architectural decisions along the way to ensure scalability, reliability, and speed.
Decyzje architektoniczne będą podejmowane w trakcie rozwoju, co może sugerować brak ustalonej wizji technicznej i potencjalne zmiany kierunku.
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making pragmatic trade-offs between cost, latency and complexi
Może oznaczać, że priorytetem będzie optymalizacja kosztów, nawet kosztem wydajności lub złożoności rozwiązania.