Data Engineer | Python & AI/ML

Project overview

We are now looking for a Data Engineer with strong Python skills and experience in AI/ML for an exciting assignment where you will work with data platforms, automation, and advanced analytics 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 will be responsible for developing, maintaining, and optimizing data flows, as well as ensuring that data is accessible, reliable, and usable for analysis, reporting, and business development. The role combines practical development work with data engineering and applications within 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.

Responsibilities

We are looking for you who have

Meritorious

To succeed in the role, we believe you are

About Experis

Experis 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 digitalization.

As a consultant at Experis, you will have the opportunity to work on 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 today as selection and interviews are ongoing.

For questions, contact:

Daniel Jordacijevic

Talent Acquisition Specialist, Experis

[contact removed]

At Manpower, Experis, and Jefferson Wells, we value 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 that are said to come from us, please contact us at [contact removed].

• 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 analysis and BI platforms
• Optimize performance, reliability, and scalability of data solutions
• Ensure high quality through documentation, version control, and testing
• Collaborate with the business to translate business requirements into technical solutions
• Strong experience with Python
• Experience with Pandas and/or PySpark
• Experience in developing and managing ETL/ELT pipelines
• Knowledge of 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 version control
• Knowledge of machine learning and AI-related solutions
• Experience with or understanding of Large Language Models (LLM)
• 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-ready data and AI solutions
• Self-sufficient and responsible
• Analytical and structured
• Solution-oriented and pragmatic
• Used to working with complex datasets
• Delivery-focused with a high awareness of quality
• Curious about new technology and AI development
• Communicative and good at collaborating with both technical and business stakeholders
• Engaged in documentation, knowledge sharing, and long-term sustainable solutions

Project details

Reference Number: 54853

Job Published: 02/11/2026

No of Openings: 1

Form of employment: Consulting assignment

Industry: IT, Data

Apply by: As soon as possible

• Start: flexible
• Location: Göteborg, SE
• Languages: Swedish