Senior Data Engineer (Product)

Centra Technology; Stockholms kommun; Hybrid; SEK 600,000 - 850,000; Full time

Job summary

Centra Technology, based in Stockholm, is seeking a Data Engineer to build and optimize data pipelines for our new Data & Insights module. You will take charge of transforming transactional data into key metrics that power analytical dashboards, ensuring performance and scalability alongside real-time operations.

The ideal candidate has extensive experience in developing data platforms, expert SQL skills, and a strong understanding of how data drives decision-making in e-commerce. The role supports a hybrid working model, allowing occasional remote work.

Qualifications

• Experience building and owning data platforms or products from scratch.
• Proven ability to design scalable data systems in a cloud-native environment.
• Strong product thinking mindset to understand data's value.

Responsibilities

• Build and design data pipelines for real-time data ingestion.
• Define and implement key fashion KPIs using SQL.
• Architect caching and performance layers for fast dashboards.

Skills

Expert-level SQL

Experience building data platforms

Design scalable data systems

Infrastructure as Code (Terraform or CDK)

MLOps experience

Tools

AWS

GCP

SQL transformation tools (dbt, Dataform)

Job 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.

• 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)

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.

Department Product & Engineering Team Locations Stockholm Remote status Hybrid