Data Engineer - Platform

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

Aira Group AB

10% of Europe's CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that. With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time. Founded in 2022, and with 1000+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, an HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034. About the role We are looking for a Data Engineer to join our Data Analytics and ML team. We are looking for somebody who can continue building, improving, expanding and maintaining our data infrastructure and central back-end, from GCP fundamentals to collaborating with tech teams to set up their data serving pipelines, to enabling analytics engineers and domain experts to build data marts, dashboarding and data science efforts. You are responsible for enabling other data experts in their developer experience, ensuring our data core platform is secure, stable and scalable, can run necessary pipelines for streaming and other sources, and serve data to other engineers or analysts in a reliable, compliant and convenient way. Your work will be key to optimising the reliability and performance of our organisation and the different teams. You will build and maintain our data landscape, drive change in our tech and development processes, engineer solutions to enhance features, and be a part of our data architecture to propel solutions to further levels. Your other responsibilities include: Enable data- and AI-driven software, insights and informed decisions through enabling data product building in an interoperable, agile and modern fashion Build components to enable data mesh distributed ownership of data assets, pipelines and analytics marts Develop end-to-end pipelines to ingest, transform and serve data assets Collaborate with analytics engineers, enabling them to move fast and efficiently in developing and managing data products based on raw source data Collaborate with software product development teams to allow them to to have autonomy in serving and consuming data in the landscape Introduce practices and tools to improve data reliability and performance Ingest crucial data to adjust future business strategies Who are you From a technical perspective, we would like you to have experience with: Data engineering, infrastructure as code, and building data pipelines and pipeline modules Streaming data, Kafka, schema registry Creating ELT/ETL pipelines for ingesting and transforming data Building, testing, and maintaining database and pipeline architectures Dagster, DBT, DLT, GCP, AWS Python, SQL, Java, Terraform GitHub CICD and deployment pipelines Kubernetes Lint and other code hygiene CI practices Data/analytics/ML in any major cloud platform As a person, we would like you to be: Adaptable and hands-on solution while taking into account/having an interest for the holistic perspective A quick learner with a willingness to share knowledge A strong communicator and team player At Aira, we champion the next-generation energy as well as diversity and inclusion. We firmly believe that a diverse workforce fosters innovation and creativity, enhancing our ability to serve customers and communities effectively. We welcome individuals from all backgrounds, cultures, and perspectives to join our team. Our commitment is to uphold equality and inclusivity, fostering a collaborative environment where everyone can thrive and contribute to a better future for our people and the planet.

Bannerflow AB

Bannerflow is a fast-growing global SaaS company building a Creative Intelligence Platform that enables enterprise brands to predict, create, and optimize advertising across channels. We’re on a company-wide AI transformation journey, where AI and agentic workflows are becoming a core part of how we build and innovate, with high expectations on adoption across all teams. Our teams are highly autonomous, collaborative, and we are now looking for another passionate engineer to join us! The challenge: Scaling data for the future Our platform serves 500+ million impressions daily, with peaks over 1 billion impressions, and we’re just getting started. We’re currently rebuilding our entire data infrastructure from the ground up to adopt a data lakehouse approach, enabling: Scalability & Flexibility: Handling billions of data points while staying cost-efficient and future-proof. Data-Driven Features (AI & ML): Enabling predictive models and automation based on historical data. Business Intelligence & Analytics: Delivering insights directly to customers in our platform. To make this vision a reality, we’re looking for an experienced Data Platform Engineer to join our Platform team, and take full ownership of designing and building a scalable, high-performance data platform that will power the next generation of our product. Are you + Bannerflow = True? 🦋 We believe this is an opportunity for you who want to take the technical lead and define our data platform and best practices. Your work will directly impact customers and drive innovation in Ad Tech as part of an autonomous tech team. You'll tackle cutting-edge challenges in large-scale data processing, ML pipelines, and advanced analytics. At Bannerflow, we live by our values of passion, collaboration, and challenge. You'll be part of a vibrant culture with activities like padel tournaments, webinars, Friday beers, and Level-up Hackathons. We offer a hybrid workplace and a competitive compensation package, including pension according to ITP1, health allowance, parental leave top-up, and health care insurance. Your mission Design and build scalable data pipelines for analytics and AI-driven features. Build on our existing lakehouse foundations to shape the architecture's next stage, balancing performance, flexibility, and cost. Ensure high data quality and reliability, implementing best practices in data modelling, governance and observability. Collaborate closely with our Data Analysts, Chief Architect, Engineers, and Product teams to create data-driven features and insights. Evaluate and implement new technologies to ensure a modern, scalable, and future-proof data stack. So, what are we looking for? 5+ years of experience as a Data Engineer/Data Platform Engineer/Data Lead, working with large-scale data processing. Strong knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure, or AWS). Experience working with data lake and lakehouse technologies (cloud storage solutions, Iceberg tables, Delta Lake, etc.). Experience with designing scalable architectures and pipelines that support large datasets efficiently. Passion for AI/ML-driven data features and enabling advanced analytics. Problem-solver mindset, you love optimizing performance and building robust systems. Curiosity & ownership – you thrive in an environment where you can experiment and improve. Not sure if you check all the boxes? Apply anyway! We believe that mindset and passion are just as important as technical skills. If you have a software engineering background, love solving complex problems, and are a data nerd at heart, we’d love to hear from you, even if you don’t meet every requirement. We’re looking for the right person, not just the perfect resume. We are committed to building a diverse and inclusive team and welcome applications from candidates of all backgrounds, experiences, and abilities. Join us at Bannerflow and help us build a world-class data platform that powers the future of Ad Tech!