SENIOR DATA ENGINEER - AI/ML - SKÅNE

Want to build the data foundations behind real-world AI? Join our AI-native consultancy and engineer scalable data platforms, pipelines and architectures for production AI and Machine Learning solutions. Build the data foundations that make AI possibleAt NordAxon, we help organisations transform ambitious AI ideas into production-ready solutions that create measurable business value.Behind every successful AI solution is high-quality, accessible and well-engineered data. We are therefore looking for an experienced Senior Data Engineer with a strong interest and experience in AI and Machine Learning who wants to build the data infrastructure and pipelines that enable modern AI systems.This is not a traditional Data Engineering role focused solely on moving data between systems. You will work closely with AI/ML Engineers, Data Scientists and Software Engineers to build the complete data foundation behind solutions involving Machine Learning, Generative AI, LLMs, AI Agents, Computer Vision, predictive analytics and other data-driven applications. About NordAxonNordAxon is a specialised AI consultancy founded in Malmö in 2018, with AI and Machine Learning as our sole focus.We help organisations across the Nordics identify, develop and scale AI and Machine Learning solutions that create measurable business impact.Our expertise spans Generative AI, Large Language Models, AI Agents, Computer Vision, Time Series Analysis, Natural Language Processing and Predictive Machine Learning. From data exploration and architecture to development, deployment and continuous improvement, we help customers turn their data into production-ready AI systems.We are a team of passionate AI/ML Engineers, Data Scientists and AI Developers who enjoy solving difficult problems, sharing knowledge and continuously developing our expertise. About the RoleAs a Senior Data Engineer – AI & Machine Learning, you will work at the intersection of Data Engineering, AI/ML Engineering and Software Engineering.Your primary responsibility will be designing and building scalable data architectures, pipelines and platforms that enable AI and Machine Learning solutions to operate reliably in production.You will work directly with customers and alongside our AI/ML Engineers throughout the complete solution lifecycle – from understanding available data and designing the architecture to building pipelines, integrating ML models and deploying production systems.Your responsibilities will include:Designing and developing scalable data architectures and production-grade data pipelines for AI/ML applicationsBuilding robust ETL/ELT processes for structured, semi-structured and unstructured dataDesigning and implementing modern data lake, lakehouse and data warehouse architecturesIntegrating data from APIs, databases, enterprise systems, files, streaming sources and external platformsPreparing and transforming data for Machine Learning, predictive analytics and Generative AI applicationsBuilding ingestion and processing pipelines for LLMs, RAG systems, vector databases and AI AgentsWorking with both batch and real-time/streaming dataEnsuring data quality, reliability, observability and maintainabilityDesigning and implementing scalable cloud-based data solutionsSupporting the deployment and operation of AI/ML solutions using modern DataOps, DevOps and MLOps practicesWorking directly with customers to translate business and AI requirements into robust technical solutionsContributing to architecture decisions, technical standards and NordAxon’s evolving AI capabilities Who We're Looking ForWe are looking for an experienced Data Engineer who wants to work close to AI and Machine Learning. You are comfortable taking responsibility for the data foundation of a solution – from ingestion and transformation to storage, orchestration and production – while understanding how that data will ultimately be used by AI/ML applications.You combine strong Data Engineering and Software Engineering skills with practical knowledge of modern AI/ML systems. You do not need to be an ML researcher, but you should understand the Machine Learning lifecycle and be comfortable collaborating closely with AI/ML Engineers and Data Scientists. We expect you to have:At least 5 years of relevant professional experience within Data Engineering, Software Engineering, AI/ML Engineering or a closely related fieldStrong programming skills in Python and strong proficiency in SQLProven experience designing and building production-grade data pipelines, data platforms and ETL/ELT workflowsSolid understanding of data modelling, data architecture, data quality and reliable data processingExperience with relational and non-relational databases and integrating data from APIs and enterprise systemsExperience with cloud-based data platforms on Azure, AWS or Google CloudExperience with modern data technologies such as Databricks, Microsoft Fabric, Snowflake, Apache Spark/PySpark or similarExperience with orchestration technologies such as Airflow, Azure Data Factory, Databricks Workflows, Dagster or similarExperience working with data lakes, lakehouses and/or data warehousesExperience with modern Software Engineering practices including Git, Docker and CI/CDPractical understanding of Machine Learning and the ML lifecycle, including how data is prepared and used for model training and inferenceExperience contributing to data pipelines or platforms used by AI/ML applications in productionStrong analytical and problem-solving skills and the ability to communicate effectively with both technical and business stakeholdersExcellent communication skills in English and fundamental in Swedish Because we are an AI-specialised company, we also value hands-on experience with technologies and architectures used in modern AI solutions. Experience with LLMs and Generative AI, RAG pipelines, embeddings, vector databases, MLflow, MLOps, model deployment and monitoring, or ML frameworks such as Scikit-learn, PyTorch or TensorFlow is highly relevant.Experience with Kafka or other streaming technologies, dbt, Kubernetes, Azure AI Services/Azure OpenAI, LangChain, LlamaIndex, data governance and lineage, or data pipelines for Computer Vision and Time Series applications is considered an advantage. What We OfferAt NordAxon, AI and Machine Learning are our core business. You’ll work on challenging, real-world AI and data projects alongside experienced AI/ML Engineers, Data Scientists and Software Engineers, building everything from robust data foundations to production-ready AI solutions. We offer a collaborative environment with strong technical expertise, continuous learning, modern technologies and plenty of opportunity to influence how we build and deliver AI solutions – while maintaining flexibility and a healthy work-life balance. LocationThis position is based in Skåne, with our headquarters in Hyllie, Malmö.Applicants must be based in Skåne or the surrounding region and be able to work regularly from our Malmö office and customer sites. ApplyIf you are an experienced Data Engineer who wants to work closer to AI and Machine Learning and build the data foundations behind real-world intelligent systems, we would love to hear from you.Send your CV together with a short introduction to career@nordaxon.com.Please use “Senior Data Engineer” as the subject line of your application. Applications are reviewed continuously.