Data Engineer - Data Platform Team

XXL Sport & Vildmark AB

XXL is one of Scandinavia’s largest sports and outdoor retailers, with more than 85 stores across three markets. Having recently becoming part of an international group, XXL is continuing its digital and data transformation to support scalable growth, smarter decision-making, and improved customer experiences. To strengthen our data platform and integrations capabilities, we are now looking for a Data Engineer to join our Data Team in Stockholm. About the Data Team The Data team is responsible for building and operating XXL’s cloud-based data platform and integration layer. We work across the full data lifecycle — from ingesting and integrating data from source systems, to making it available for analytics, reporting, machine learning, and operational use cases. The team is part of XXL’s IT organization of around 20 people across Sweden and Norway, with a strong focus on innovation, reliability, and modern engineering practices. The Role As a Data Engineer at XXL, you’ll play a key role in designing, building, and operating our data platform and integration solutions. You’ll work with data from multiple systems, bringing it together into a central data lake and analytics environment that is reliable, secure, and easy to use. This role blends data engineering, integrations, and platform ownership, making it a great fit for someone who enjoys working at the intersection of infrastructure and business needs. You’ll have real influence over technical decisions and a direct impact on how our data platform evolves over time. Key Responsibilities Design, build, and maintain robust ETL/ELT pipelines and data integrations Integrate data from internal systems, SaaS platforms, and external partners Develop and maintain data models, data marts, and analytics-ready datasets Ensure data quality, availability, and reliability through monitoring and automation Operate and evolve the data platform using CI/CD and Infrastructure as Code Collaborate with BI, analytics, and application teams on data-related solutions Implement data security, governance, and access control mechanisms Contribute to architecture, standards, and best practices within data engineering Continuously improve performance, scalability, and maintainability of data solutions QualificationsRequired 3+ years of experience as a Data Engineer or similar role Strong experience building ETL/ELT pipelines and data integrations Proficiency in Python and/or other relevant programming languages Experience with cloud platforms such as AWS or Azure Experience working with data lakes, cloud data warehouses, or analytics platforms Nice to Have Experience with Spark or distributed data processing frameworks Experience with services such as AWS Glue, Lambda, EMR, or Azure Synapse / Fabric Experience with Infrastructure as Code (e.g. Terraform, CDK) Experience with CI/CD pipelines for data workloads Data Engineering or cloud certifications (e.g. Databricks, AWS or Azure) Formal education in a relevant field is beneficial, but equivalent work experience can compensate for missing formal education. What We Offer We offer a key role in a stable, well-established company with a collaborative culture and short decision-making paths. You will be part of an experienced and supportive team where you can influence technical direction and grow together with the organization. Your work will directly impact decision-making in merchandising, logistics, ecommerce and operations, enabling faster insights and improved customer experiences. While many of us are passionate about sports and outdoor activities, this is not a requirement. In addition to a competitive salary and pension, we offer an attractive employee discount in our stores. Employment & Contact This is a permanent position based in XXL HQ Bromma, Stockholm. If you have any questions about the role, please contact Viktor Bjerre, IT Delivery Manager, at viktor.bjerre@xxl.se

Flower Infrastructure Technologies AB

⚡️ What We Do Swiftly gaining ground as Sweden’s industry leader in battery storage and expanding rapidly in selected European markets, Flower is on a mission to enable the energy system of tomorrow. With an industry-leading AI-powered platform at its core, our service includes stabilizing the energy system by enhancing predictability and flexibility for both energy producers and consumers. By combining pioneering technology with a portfolio of flexible energy assets, we break new ground towards a fossil-free energy system, allowing clean energy to power society. 🌟Who We Are Tech company at heart – purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Data Engineer, Platform. 👩‍💻 About The Role As a Data Engineer on the Platform squad, you will take ownership of the infrastructure that powers our entire data ecosystem. This isn't just about moving data from A to B; it’s about building a scalable, self-service platform that enables our Data Scientists and Product teams to ship at pace. You will work in the intersection of software engineering and data, ensuring our systems are robust, observable, and high-performance. What You’ll Do Develop and maintain our core data platform (Data Lakehouse, orchestration, and observability) using Databricks, dbt, and Python. Implement CI/CD pipelines for data systems and leverage Infrastructure as Code (Terraform) to ensure reliable, reproducible deployments. Identify bottlenecks, optimize distributed compute (Spark) jobs, and assist with cost management to keep our platform lean and fast. Partner with product teams to design ingestion frameworks and declarative configurations that allow others to scale their own data needs. Ensure data quality, lineage, and security standards are embedded into every workflow, not treated as an afterthought. Who You Are 2–3 years of professional experience in Data Engineering with a strong grasp of cloud-based data platforms (Databricks, Snowflake, BigQuery or similar). Proficient in Python and SQL, with an understanding of distributed systems and a passion for writing clean, well-tested code. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation) and modern orchestration (Airflow, Dagster, or similar). Meticulous in your work, with a keen eye for data quality, correctness, and edge-cases; you take pride in delivering bullet-proof solutions that scale. Great team player and communicator, ready to share knowledge, solicit feedback, and collaborate effectively within a diverse, agile team. 📍 Location Our beautiful office is located in the heart of Södermalm, just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have over 20 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the Talent Partner, Head of Platform, the Team and VP of Engineering. We look forward to hearing from you! --- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.

RaySearch Laboratories AB (publ)

RaySearch develops innovative software solutions to improve cancer care. About 1000 clinics in more than 40 countries use RaySearch software to improve treatments and quality of life for patients. RaySearch was founded in 2000 and is listed on Nasdaq Stockholm. The headquarters is located in Stockholm, with subsidiaries in the US, Europe and Asia - Pacific. Today we are more than 400 employees with a common vision of improving cancer care with innovative software. Our great staff is crucial for our success and we offer a fantastic working environment in modern offices, flexibility and good opportunities for development. We believe in equal opportunities, value diversity and work actively to prevent discrimination. RaySearch develops software that supports cancer treatment at hospitals and radiotherapy clinics worldwide. We are looking for a Senior Data Engineer to work on RayIntelligence, an oncology analytics platform helping radiotherapy clinics turn data into actionable insights.About RayIntelligence Radiotherapy clinics generate large amounts of clinical and operational data every day, but much of this information remains difficult to access, analyze, and act upon. RayIntelligence is designed specifically for radiotherapy clinics, bringing together data from treatment planning systems, oncology information systems, and other clinical and operational sources. The platform enables clinics to analyze treatment workflows, patient volumes, machine utilization, resource planning, treatment patterns, and long-term outcomes. By making data more accessible and reliable, RayIntelligence helps clinics understand their operations, learn from past treatments, and continuously improve care. For healthcare analytics to create value, clinics need confidence in the data they use. RayIntelligence ensures consistent metrics, understandable insights, and traceable data from source to result. Already deployed at customer sites, the platform is continuously expanding its analytical capabilities and adoption worldwide. About the Role The role spans data ingestion, integration, transformation, analytical data modeling, and the implementation of new analytics use cases. Working in healthcare brings unique engineering challenges. Data quality, traceability, reproducibility, validation, and risk management are key aspects of our software development process. While RayIntelligence is not a medical device, we apply many of the same engineering principles and quality practices used across RaySearch. Unlike internal analytics teams, we are building a product for environments where we do not control the source systems. This requires us to handle limited access to real-world customer data, variations between customer environments, and the challenge of creating analytics that clinics can understand and trust. Today, the platform focuses on analytics and reporting use cases, with future AI and machine learning capabilities building on the foundations being developed. RaySearch supports the use of modern AI-assisted development tools where appropriate, while maintaining the quality standards and engineering rigor required in healthcare software. Responsibilities Capture and integrate data from clinical and operational source systems Design, build, and maintain data ingestion and transformation pipelines Develop analytical data models supporting product capabilities and customer use cases Implement new analytics capabilities using SQL and Python Contribute to architecture and design decisions related to scalability, maintainability, and data quality Improve observability, traceability, and reliability across the platform Ensure that metrics, transformations, and data flows can be understood, tested, and verified Participate in validation, testing, and risk-management activities appropriate for healthcare software environments Technology Stack Our platform includes technologies and programming languages such as: Python & SQL PostgreSQL & SQL Server dbt AWS CDC-based ingestion Apache Superset Your Profile  We believe successful candidates will typically have experience in several of the following areas: SQL development Python development Data engineering and ELT/ETL development Data modeling and data warehousing Experience applying software engineering best practices to data platforms and production systems Translating product and analytical requirements into robust technical solutions Working with data quality, observability, testing, or traceability in production data systems Formal education in Computer Science, Engineering, Mathematics, or a related field is beneficial. Equivalent practical experience is equally valued Seniority is typically demonstrated through several years of professional experience designing, building, and operating production data systems Our Culture At RaySearch, we share a passion for innovation and the fight against cancer. Our team consists of dedicated experts who strive to deliver exceptional results through collaboration, attention to detail, and cutting-edge technology. We take pride in our role as a leader in cancer treatment, developing solutions that truly make a difference for patients worldwide. Our Offer We offer a dynamic and inclusive work environment in Hagastaden, Stockholm’s Life Science Hub. Our modern office space includes an in-house gym, yoga classes, and social activities such as ping pong, table football, and after-work events. We also provide a fantastic lunch buffet, daily fika, and a stunning rooftop terrace with a 360-degree view of Stockholm. This comes with a competitive compensation and benefits package. Application Please apply for the position through the application form below. We do not accept applications via e-mail.