Data Engineer
By Malene Birger is looking for a detail-driven and curious Data Engineer to join our growing Digital Development & Data team. In this role, you'll help shape a modern, scalable data platform that powers smarter, insight-led decisions across the organisation.
As a brand defined by conscious craftsmanship and refined minimalism, we believe our data architecture should be just as intentional — structured, scalable, and elegant in its design. You'll be at the heart of building a platform that allows creativity, commerce, and operational excellence to thrive together.
What You’ll Do
- Build and maintain robust, reliable, and scalable data pipelines to support everything from product planning to omnichannel sales performance.
- Design and implement data models optimised for performance, scalability, and alignment with key business processes.
- Develop and maintain data architecture, including warehousing and storage solutions that reflect core business process flows and interdependencies across departments.
- Translate complex raw data into clean, structured datasets that support operational decision-making.
- Collaborate with analysts, engineers, and business stakeholders to deliver data solutions rooted in a deep understanding of business functions and their data needs.
- Map data dependencies across systems (e.g., ERP, commerce, finance, supply chain) to ensure data flows support cross-functional processes accurately and efficiently.
- Work within a modern stack built on Infor M3 Data Lake, Azure Data Lake, Azure Data Warehouse, and Power BI.
- Take ownership of data quality, structure, and performance — ensuring they reflect the realities of day-to-day operations.
- Stay current on industry trends and innovations in data engineering, digital commerce, and cloud technologies.
Who You Are
We imagine you’re a problem-solver at heart — someone who enjoys connecting the dots and refining how things work. You’re dependable, technically sharp, and eager to learn and grow.
You might be a great fit if you:
- Have 1–2 years of experience in data engineering, BI development, or analytics engineering.
- Understand how business processes work end-to-end, and how data underpins and connects them — particularly in retail, commerce, supply chain, and finance.
- Are skilled at identifying and managing data dependencies between systems and teams, ensuring accuracy and consistency across data flows.
- Are confident working with SQL and either Python or PySpark.
- Are familiar with Azure Data Services (e.g., Azure Data Lake, Azure SQL) or Microsoft Fabric.
- Understand modern data modelling techniques and can translate business requirements into scalable data architectures.
- Work in a structured, quality-driven way. You value clarity, simplicity, and performance in data design.
- Communicate clearly in English and collaborate easily across both technical and business teams.
Experience with tools like Power BI, DAX, Infor M3, Salesforce Commerce Cloud, or InRiver is a plus — but not required.
We welcome applications from diverse backgrounds. This is a hands-on role where curiosity, business process understanding, attention to detail, and a desire to grow will be key to your success. If you’re passionate about data and want to drive meaningful impact in a modern fashion brand, we’d love to hear from you.
About the company
BY MALENE BIRGER is a Danish womenswear label that infuses sophisticated Scandinavian minimalism with a vivacious, bohemian ease. Meticulously designed with long-lasting fabrics, feminine details and enduring silhouettes, the house’s collections are luxuriously utilitarian.
Founded in 2003 by the eponymous Danish designer Malene Birger, the label began a new chapter in 2020 following a comprehensive redesign of the brand identity and store schemes, the introduction of a house monogram, and the considered refinement of the collections, the house has been rejuvenated as a major force in contemporary womenswear.
Today, it offers a compelling wardrobe proposal for a modern, multi-faceted woman.
