Job Req Number: 88944
Time Type: Full Time
To join our dynamic Global MLOps Platform team, we are seeking a Senior Data Platform Engineer with a strong technical foundation and a passion for building scalable, reliable data infrastructure. The ideal candidate will have expertise in both modern infrastructure tools and large-scale data processing frameworks.


Your next big challenge starts here
We believe in empowering our team members to make a real impact while growing their careers. As part of our Global MLOps Platform team, you will have the opportunity to:

• Shape the future of MLOps: Define and contribute to best practices in a rapidly evolving field. With the industry still maturing, you will have the freedom to shape and innovate, working on meaningful, tangible projects.
  
• Work on a diverse, cloud-agnostic platform: Our mission is to build a platform that supports a wide range of machine learning tasks across different clouds, frameworks, and data types. You will help ensure scalability, reusability, and compliance, and get hands-on with a variety of technologies.
  
• Freedom with accountability: We encourage autonomy while staying aligned with our goals. You will have the chance to solve complex challenges in a supportive, collaborative environment where your ideas are valued.
  
• Learning and community engagement: We support continuous learning through participation in industry conferences, open-source contributions, and collaboration with leaders in the global MLOps community. You will have opportunities to work on projects like Kedro and learn from experts.
  
• Supportive work environment: With a clear roadmap and leadership commitment, we focus on continuous improvement in our collaboration and technology use. You will work in an environment that encourages innovation, teamwork, and professional growth.
  
• Great places to work: This position is offered in either Warsaw or Copenhagen with a hybrid work model. If located in Denmark, you will work from our offices in either the CPH Meatpacking District or our global headquarters in Hedehusene. If located in Warsaw, you will be based in our office in the Służewiec area, one of Warsaw’s business hubs known for its convenient connections and vibrant work culture.
  
  

Skills requirements
As a Senior Data Platform Engineer, you will play a pivotal role in designing, building, and maintaining scalable, reliable data platforms that support our organisation’s global operations. Your expertise will enable high-performance data processing, infrastructure management, and seamless orchestration of workflows.
Must-have skills:

• Workflow orchestration:
  
  • Experience with workflow orchestrators such as Apache Airflow, Prefect, Luigi, or equivalent DAG orchestration systems.
    
• Software engineering:
  
  • Strong programming experience in Python, with a focus on clean code practices and modular design.
    
  • Expertise in building, refactoring, and managing large-scale CI/CD pipelines.
    
• Data processing:
  
  • In-depth knowledge of data processing principles and frameworks such as Apache Beam, Py Spark, or Databricks.
    
  • Ability to design and optimize workflows for distributed data systems.
    
• Infrastructure and orchestration:
  
  • Proficiency in container orchestration with Kubernetes (K8s).
    
  • Hands-on experience with Helm and Argo Workflows.
    
    

Nice-to-have skills:

• Advanced knowledge of Databricks and experience guiding transitions to Databricks-based workflows.
  
• Familiarity with data pipeline frameworks such as Kedro.
  
• Knowledge of managing and migrating ML model registries and supporting inference graph workflows.
  
• Experience with Istio and Cilium for service meshes.
  
• Experience with Prometheus and Grafana for observability.
  
  

Soft skills:
We are looking for a new colleague to join our team, who enjoys diving into complex codebases, quickly understand them, and improve their quality. We value teamwork, so a collaborative mindset is a must and ideally, you have balanced doer/thinker approach. Additionally, you possess excellent problem-solving skills and have a proactive attitude towards driving high-quality solutions.
This role is perfect for someone who thrives in a dynamic environment, values teamwork, and is excited about building the future of data infrastructure.


Want to know more and apply?
If you are ready to be part of an ambitious team that aims to move the MLOps field forward, send us your application today! We process applications on an ongoing basis.


For questions about DSV or the role, please reach out to Morten Lantow, Head of Machine Learning Operations, on +45 25 41 70 86.

DSV – Global Transport and Logistics
DSV is a dynamic workplace that fosters inclusivity and diversity. We conduct our business with integrity, respecting different cultures and the dignity and rights of individuals. When you join DSV, you are working for one of the very best performing companies in the transport and logistics industry. You’ll join a talented team of approximately 75,000 employees in over 80 countries, working passionately to deliver great customer experiences and high-quality services. DSV aspires to lead the way towards a more sustainable future for our industry and are committed to trading on nature’s terms.

We promote collaboration and transparency and strive to attract, motivate and retain talented people in a culture of respect. If you are driven, talented and wish to be part of a progressive and versatile organisation, we’ll support you and your need to achieve your potential and forward your career.
Visit dsv.com