Data Engineer

Experis

Experis is seeking a Data Engineer to join a dynamic team dedicated to enhancing data quality and supporting analytics-driven decisions. Working with esteemed data scientists and BI developers, this role is crucial in ensuring efficient data flow and integration across systems, making impactful contributions to business outcomes.

In this role you can expect to have the responsibilities:

• Develop and maintain scalable data products and pipelines
• Execute data collection, storage, processing, modeling, and analysis
• Design and implement scalable ETL/ELT routines
• Support data scientists and BI developers on data initiatives
• Translate business requirements into scalable data architectures
• Apply database knowledge and best engineering practices
• Run data pipelines ensuring accuracy through testing
• Resolve data quality issues

This role comes with the following benefits:

• Innovative and collaborative environment
• Opportunity to shape future operations
• Encouragement of initiative and creativity
• Be at the forefront of industrial advancement in automation and digitalization

This role requires you to have:

• At least 5 years of experience in Data Engineering and modeling
• Proficiency with data engineering tools
• Familiarity with Azure
• Strong problem-solving and communication abilities
• Ability to handle large, complex datasets

You would benefit from having:

Experis, in collaboration with ManpowerGroup, manages the recruitment process. Current Boliden employees are advised to apply through their Workday accounts. External recruiting firms should refrain from contacting regarding this post.