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Tekla invites a Data Analytics Engineer to bring our data in-house and shape how the company uses data and AI. You will own the data platform end-to-end from day one, working with partners and internal teams to deliver reliable data foundations and actionable analytics.
Based in Copenhagen, you will collaborate across ecommerce, marketing, finance, retail, and operations to build pipelines, dashboards, and AI-ready models. The role stresses data quality, security, and scalable data governance.
Tekla makes high-quality home textiles, with a focus on craftsmanship, sustainability, and timeless design. We sell through our own e‑commerce platform, our stores in Copenhagen and London, and wholesale partners around the world. As we grow across channels and markets, we are building the operational and technological foundation to support that growth.
We are looking for a Data Analytics Engineer to bring our data in-house and build the foundation the whole company relies on. This is a new role and our first dedicated data hire. Today an external partner builds and runs our data platform. You will take it over, own it end to end, and shape how everyone at Tekla works with data and AI.
Reporting to the Technology Lead, you will form Tekla's core technology team together. Data only creates value when it drives action, so you will spend a good share of your time with colleagues across the business, making sure what you build answers real questions and becomes part of how people work. In your first year, the priority is to bring the data foundation in-house, then to support analytics, then to open up data to AI.
Day to day, you will work with ecommerce and marketing on attribution, tracking, and channel reporting; merchandising and planning on product, stock, and sales data; finance on reporting and reconciliation against the ERP; retail and wholesale on store and B2B performance; and operations on demand, supply, and warehouse data. During the transition you will also work closely with our data partner, and with our commerce platform and ERP partners.
This is a full‑time position based in Copenhagen, Denmark. The role sits in our open‑plan office, working closely with the wider team day to day.
Key responsibilities include, but are not limited to:
Applications will be reviewed and interviews conducted on an ongoing basis, with the aim of the successful candidate joining us in December.
To help align expectations early, this role offers a salary range of 40,000 to 50,000 DKK per month, depending on experience and the overall interview assessment. This range is exclusive of pension, which is paid on top, along with health insurance and our other benefits.
The personal data in your application will be collected by Tekla as the data controller. This data will be used solely for recruitment‑related purposes, including reviewing applications, coordinating interviews, and evaluating candidates for current and future opportunities. Your information will be processed in accordance with applicable data protection laws. For more detail on how we handle personal data and your rights, please see our Recruitment Privacy Policy. By submitting your application, you consent to Tekla storing your data for up to 24 months, unless you request its removal sooner. Please confirm your understanding and consent regarding data processing.
We welcome applicants from all backgrounds, regardless of ethnic or national origin, gender, gender identity, race, colour, religious belief, disability, sexual orientation, age, or marital status. If you need any support or a reasonable adjustment at any stage of the process, please let us know and we will be glad to help.
Our commitment to fairness is ongoing. As part of that, we invite you to voluntarily share some information about your background. This helps us understand the diversity of our applicant pool and shapes our continued efforts to ensure equal opportunity at every stage. Your responses are entirely optional, will be kept confidential, and will be visible only to our internal HR team. They will not be used to make hiring decisions.