Data Engineer | Python & AI/ML

Sweden | Nov. 2, 2026

Report as Closed

Company: Experis AB

Country: Sweden

Type: Onsite

Employment: Contract

Description: Are you an experienced Data Engineer who is passionate about developing robust data solutions and using AI to create business value? Do you enjoy building data flows, automating processes and working closely with the business to transform business needs into technical solutions? Then this could be the role for you. We are now looking for a Data Engineer with strong Python skills and experience in AI/ML for an exciting assignment where you get to work with data platforms, automation and advanced analysis in a modern technical environment. About the role As a Data Engineer, you will play a central role in the development of data-driven solutions. You are responsible for developing, maintaining and optimizing data flows and ensuring that data is available, reliable and useful for analysis, reporting and business development. The role combines practical development work with data engineering and applications in AI, machine learning and Large Language Models (LLM). You will work with the entire chain from data collection and transformation to automation and integration with analysis and BI solutions. Your duties Develop and maintain ETL and ELT pipelines Build solutions for data collection, processing and transformation Develop Python-based applications for data management and analysis Process, structure and quality-assure data from internal and external data sources Implement and maintain automated workflows Work with machine learning and LLM-based solutions where it creates business value Integrate processed data into analytics and BI platforms Optimize performance, reliability and scalability in data solutions Ensure high quality through documentation, version management and testing Collaborate with the business to translate business requirements into technical solutions We are looking for you who have Strong experience with Python Experience with Pandas and/or PySpark Experience in developing and managing ETL/ELT pipelines Knowledge in data modeling, data transformation and data quality Experience with workflow tools such as Apache Airflow or equivalent Experience working with structured data, for example CSV, Excel and Delta tables Good understanding of data architecture and data storage Experience with Git and versioning Knowledge of machine learning and AI-related solutions Experience or understanding of Large Language Models (LLM) Meritorious Scikit-learn PyTorch TensorFlow Amazon S3 or similar object storage Qlik or other BI platforms Experience with AI-assisted development Experience with product data, BOM structures or technical product environments Experience with production-set data and AI solutions To succeed in the role, we believe you are Self-motivated and responsible Analytical and structured Solution-oriented and pragmatic Used to working with complex data sets Delivery-focused with high quality awareness Curious about new technology and AI development Communicative and good at collaborating with both technical and operational stakeholders Engaged in documentation, knowledge sharing and long-term sustainable solutionsAbout ExperisExperis is a leading player in IT competence, consulting solutions and recruitment. Through our broad network and close collaboration with some of Sweden's most attractive employers, we offer exciting career opportunities for specialists in data, AI, development and digitization. As a consultant at Experis, you get the opportunity to work in technically challenging assignments, develop your skills and be part of a strong network of experts. Application Does this sound like an assignment for you? Submit your application already today as selection and interviews take place continuously. For questions, contact: Daniel JordacijevicTalent Acquisition Specialist, Experisdaniel.jordacijevic@se.experis.com At Manpower, Experis and Jefferson Wells, we protect a safe and transparent recruitment process. We will never ask you for payment, bank details or other sensitive personal information in connection with a job application or recruitment. If you receive suspicious messages purporting to be from us, please contact us at contactcenter@manpower.se.

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