Create Your Better Tomorrow

With over 50 years of experience in the industry, Kollmorgen, a Regal Rexnord brand, is a technology leader in navigation and fleet control of automated guided vehicles (AGVs) and autonomous mobile robots (AMRs). In our continued effort to innovate and grow, we are now expanding and are seeking talents to join us and be part of our success story.

Join our team as Data Engineer, and play a crucial role in building a comprehensive data platform for all our products and services, supporting data driven decisions and accelerating our innovation.

Position Overview

As a Data Engineer, you will be part of our Engineering department, along with other 70+ engineers working within embedded systems, system software as well as windows applications and web services.

Purpose and Expected Result of the Role:

As a Data Engineer, you will be instrumental in enabling Kollmorgen to efficiently leverage AGV system and product usage data. You will collaborate closely with our Senior Data Scientist to shape and execute our data science and AI strategy, and with our System Architects to design a robust data platform. Your hands-on experience and deep expertise in Data Engineering principles will be pivotal in building and scaling our data platform from the ground up, directly influencing our product development and our customer success.

Responsibilities and Essential Tasks:

• Design Scalable Architectures: Create flexible and scalable data architectures to handle diverse data sources and evolving business needs.
• Develop Robust Pipelines: Build and maintain efficient data pipelines for data acquisition, cleaning, aggregation, storage, and retention.
• Lead Data Strategy: Develop and lead strategies for data collection, reliability, efficiency, and quality to support growth.
• Mentor Team Members: Provide guidance and mentorship to junior colleagues, fostering a collaborative and innovative environment.
• Effective Communication: Engage with stakeholders to understand requirements and deliver solutions aligned with business goals.
• Guide Investments: Recommend and guide investments in hardware, software, and infrastructure to support scalability and growth.

What is amazing about this position?

• Lead the Data Science Journey: Be a key player in our data science initiatives, influencing the direction and success of our company.
• Create Value from Data: Leverage AGV system data to optimize AGV system performance, enhance decision making, and improve customer satisfaction.
• Innovate from Scratch: Take the unique opportunity to build our data platform from the ground up, setting the foundation for future innovations.
• Grow with Us: Join a growing Data Science community, currently consisting of a Senior Data Scientist and a Junior Data Engineer, and be part of our expansion.

To succeed in this position, we believe that you have:

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: Extensive experience (5+ years) in data engineering, with a strong background in building scalable data platforms.
• Technical Skills:
  • Proficiency in cloud platforms (Azure preferred)
  • Excellent python programming skills
  • Broad experience with modern data engineering and observability tools, including:
    • Relational (SQL) and Non-relational (NoSQL) databases
    • Cloud storage/processing solutions (e.g., Snowflake, Databricks, Delta Lake)
    • Orchestration and transformation using for example Airflow or dbt
    • Ingestion and streaming (Kafka, MQTT etc)
    • Observability and monitoring with for example OpenTelemetry, Prometheus
    • API Development and Data Contracts

• Track Record: Proven success in driving data initiatives and creating value from data.
• Communication: Excellent communication skills in English.
• Leadership: Ability to mentor junior team members and collaborate effectively with cross-functional teams.
• Interest in Data: Genuine interest in data and its value in analysis and modeling.

We find it beneficial if you have:

• Ability to contribute across the Data Science lifecycle, including statistical modeling and data visualization.
• Knowledge of data governance, data security and data quality frameworks
• Azure DevOps, GitHub Actions or similar for deployment and CI/CD pipelines
• Experience of containerization with Docker and Kubernetes
• Experience of estimating, analyzing and minimizing operational cost for different solutions/services

Our commitment to your well-being and growth includes:

• Innovation Days - A 24-hour event happening every twelve weeks for the whole company to dig deeper, explore new ideas and solve problem!
• Office Gym - Always open and free, filled with machines for strength and fitness for all our employees.
  
• Company Events - Participate in fun and engaging activities to build team spirit.
  
• Group Workout Session - Stay active with various workout sessions led by your colleagues.
• Career Opportunities - Enjoy the chance to work in different positions and teams over the years, fostering career growth.
• Online Learning with Coursera - Advance your professional development and boost your knowledge within different areas.
  
• Flexi-Time - Enjoy flexible working hours to balance work and personal life.
  
• Fixed Hybrid Mode - Benefit from a structured hybrid work model, combining remote and in-office work.
  
• Vacation - Take advantage of 6 weeks of vacation to relax and recharge.
• Work-Time Reduction - Benefits from around 9 extra days off per working year.
  
• Wellness Allowance - Receive support for your health and wellness expenses.
  
• Home Office Equipment - Get essential home office equipment, including noise-cancelling headphones, screens, and more.
• Free Parking & Bicycle Garage - Conveniently located outside our office for easy access.
  
• Other benefits - Enjoy a Collective Agreement and Occupational Pension.

Additional Information

Full time employment | Based in Mölndal, Sweden 

Selection takes place on an ongoing basis, so be sure to apply early. We're excited to hear from you!