Senior Data Engineer

2MNordic is a Swedish IT consulting company. Since 2001, we’ve helped our customers to re-engineer, digitalize, manage and operate their most essential product development, advancing the ways of working that improve customer experiences, heighten efficiency and lower operating costs to deliver clear outcomes and topline growth. We have the pleasure to work with many varying companies across a couple of industries. Our highest priority is to create best customer experience by working across different skill sets, technologies and locations as a cohesive team with our customers delivering digital solutions that drive their business growth and increase operating efficiency. Job brief Your responsibilities include: Designing, building, and maintaining data pipelines and data solutions Developing and improving data platforms used across the team Providing technical support to colleagues on data engineering topics Building scalable backend APIs to enable access to data Driving initiatives and contributing to improvements in a high-trust, fast-paced environment Working with data to support AI/ML use cases, including preparing and structuring data for machine learning models Collaborating with data scientists and engineers to understand model requirements and enable efficient data flows for training and inference

Qualifications We place great emphasis on personal qualities in this role. You are someone who thrives when given responsibility and ownership of your work, and you are comfortable working independently. At the same time, you are a true team player who enjoys collaborating, sharing knowledge, and supporting colleagues. You have an innovative mindset, think creatively, and find solutions when challenges arise. You are analytical and strong in problem-solving, while also being communicative and confident in discussing solutions. To succeed in this role, you also bring: Strong skills in Python and/or Java Solid backend experience Strong general programming skills and ability to quickly learn new technologies Bachelor’s degree in a relevant field; a Master’s degree is considered a strong advantage Excellent communication skills in English, both spoken and written Ability to work on-site at the client’s office in Malmö 3 days per week Understanding of AI/ML concepts and experience working with data used for machine learning models Ability to prepare and structure data for ML workflows (e.g., feature engineering, data pipelines, model integration)

Nice to have Experience working with large-scale data processing or data platforms Exposure to modern data ecosystems, distributed systems, or cloud-based environments Experience with event-driven architectures or microservices Experience with visualization or monitoring tools Hands-on experience supporting machine learning workflows (e.g., training, inference, or data preparation)

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