Fashion retailer scaling store operations and supply-chain automation
Lindex operates a Snowflake + dbt + Airflow analytics stack typical of mid-market retail, but their hiring is overwhelmingly sales-focused (86 of 95 open roles in sales) while engineering and data remain skeletal — suggesting a retail organization pushing volume growth and staffing capacity rather than building proprietary tech. Recurring pain points around holiday coverage, sick leave gaps, and warehouse optimization signal operational strain in labor scheduling and logistics, areas where automation could unlock margin.
Lindex is a Stockholm-headquartered fashion and cosmetics retailer founded in 1954, operating across womenswear, kidswear, lingerie, and beauty. The company is publicly traded and operates 5,001–10,000 employees across nine countries (Sweden, Norway, Finland, Latvia, Lithuania, Czechia, Slovakia, Indonesia, Lesotho). Current focus areas include in-store marketing campaigns, store experience improvements, and process automation; the company is also exploring robotics solutions for warehouse operations. Active hiring is concentrated in sales roles across Central Europe, the Nordic region, and Indonesia.
Core analytics: Snowflake, dbt, Apache Airflow, Power BI, SQL, Python. Infrastructure: Azure, Kubernetes, Docker, Helm, ArgoCD. Monitoring: Prometheus, Grafana. Development: Java, JavaScript, React, Azure Pipelines.
Göteborg (Gothenburg), Västra Götaland, Sweden. The company operates in nine countries: Sweden, Norway, Finland, Latvia, Lithuania, Czechia, Slovakia, Indonesia, and Lesotho.
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