Senior Data Engineer to Home Furnishing Company

We are looking for a senior Data Engineer on behalf of our client, a global leader in the home furnishing retail industry. They are establishing digital products that provide performance insights for customer meeting points and franchisees. The products consolidate data from multiple business systems into trusted, scalable and automated data products that support performance management, business decision-making, continuous improvement and strategic planning. About the assignment As data engineer in the team, you design, build and maintain automated, scalable data solutions for two performance evaluation products, one for customer meeting points and one for franchisees, stretching across all of the client's franchisees. The goal is to transform today's manual, fragmented reporting into a reliable and centralized analytics ecosystem, giving leadership and management teams consistent, trustworthy metrics for trend analysis and continuous improvement. Responsibilities Design, build and maintain automated, scalable data solutions for the performance evaluation products Create the data foundation that enables reporting, analytics, governance and future scalability Connect data from multiple sources into a unified performance evaluation framework covering multiple criteria Ensure accuracy, data validation, version control and auditability We are looking for you who Are a senior data engineer with: Proven experience designing and implementing end-to-end data pipelines, batch and streaming, including ingestion, transformation and serving layers, using best practices in data modelling and lakehouse architecture Hands-on expertise with Databricks, including Apache Spark, Delta Lake, job orchestration, performance tuning and environment management Strong knowledge of Microsoft Azure, particularly services commonly used in data platforms such as Azure Data Lake Storage Solid experience with DevOps practices, including source control (e.g. Git), CI/CD pipelines, automated testing, environment promotion and infrastructure as code for data platfor How you work Comfortable working in the early phases of solution design and contributing throughout the full data engineering lifecycle: ideation, high and low level architecture, requirements specification, functional and technical design, estimation, sprint planning, development, testing, documentation, deployment and operational follow-up Strong understanding of data engineering guidelines, release processes and quality expectations, including data validation, performance optimization, monitoring and troubleshooting in production environments Focused on building clean, scalable, resilient and cost-efficient data solutions using cloud native architectures and modern data platforms, with maintainability and reusability in mind Strong communication skills, with the ability to clearly explain data architectures, pipelines and trade-offs to non-technical stakeholders Practical details Start: 2026-11-01 End: 2027-11-01, with possibility of extension Workload: 100 % Location: Malmö, on site (no remote work) How to apply Send your updated CV in Word format together with a short motivation. Describe why you are the right fit for this assignment, referring to previous consulting assignments, employments, education and personal qualities that are relevant. About the assignment For this assignment you will be hired as a full-time consultant by Digitalenta. We offer our consultants a generous package including healthcare allowance, insurance policy, paid vacation days and pension savings. In addition, you'll also have a dedicated consultant manager available throughout your employment with us, in addition to optional networking activities with our network of consultants.