Senior Software/ Data Engineer - Logistical Network Planning

As a Senior Software/Data Engineer – Logistical Network Planning, you help ensure the flawless delivery of short- and long-term logistical network plans that optimally align customer demand with logistical capacity. These plans are built with accurate and reliable data for stakeholders, enabling well-aligned decisions to meet customer demand with available logistical capacity. As an engineer in the Network Planning team, you will design, support, and implement scalable solutions for these logistical network plans. It is a complex puzzle solved together with engineers and data scientists, and your involvement and technical skills directly influence the accuracy and usefulness of the network plans while contributing to key organizational goals.

How do you make our customers happy?

By ensuring a flawless delivery of short- and long-term logistical network plans. These plans should be built with accurate and reliable data for stakeholders to ensure an optimally aligned plan to meet customer demand with logistical capacity. As an engineer in team Network Planning, you will design, support, and implement scalable solutions for these logistical network plans. It is a complex puzzle to solve together with team members, including both engineers and data scientists. Ultimately, your involvement and technical skills will determine the accuracy and usefulness of the network plans, thereby directly contributing to key organizational goals.

What you will do as a software/data engineer Network Planning

You are expected to write clean, maintainable code with solid test coverage and advocate for best practices in software design. Code reviews will be a regular part of your routine, not just to keep quality high, but also to share knowledge. You’ll build and fine-tune data pipelines in Apache Airflow, keeping things running smoothly while making sure model jobs execute efficiently. Keeping an eye on cloud workloads, jumping in when issues arise, and getting the most out of SQL queries and Python memory will be part of your day-to-day work. You’ll also focus on making life easier for process analysts and data scientists by ensuring a good user experience. And, of course, you’ll collaborate with other teams to help shape the technical direction of projects.

What we are looking for

We are looking for a senior engineer who has a keen eye for delivering robust solutions for newly discovered functionality improvements for our network plans. Our new colleague should have the tendency to look up from the day-to-day work and foresee important technical initiatives that will keep the team’s operational excellence and innovation speed on par. As this team is delivering direct impact to one of the major organizational goals for 2026, a pragmatic attitude towards solutions and their feasibility is important. We also prefer someone with a strong focus on collaboration and who is proactive in knowledge sharing, discussing feedback with team members to help them grow and improve.

Overview of required hard skills:

• Strong experience with workflow orchestration (e.g., Apache Airflow)
• Strong experience with data transformations and modeling (e.g., dbt)
• Experience in Python
• Solid background in cloud environments, preferably Google Cloud
• Experience working with tools such as Prometheus, Kibana, and Grafana

Where you will work

The Network Planning team is responsible for creating optimal logistical network plans for warehouses by balancing customer demand against available capacity, costs, and distribution. The team consists of four engineers and four data scientists who together define accurate network plans that stakeholders use for different purposes, such as allocating stock to warehouses. The Network Planning team is part of Capacity Steering, a domain within the Core Logistics II area within bol.

3 reasons why this is (not) for you

Not for you if:

• Complexity Allergic: You are uncomfortable with complexity and ambiguity
• Quick iterations are nothing for you: You prefer building the fanciest tools and code before testing whether they solve the problem
• Code-Only thinker: You have little interest in applied problem-solving or understanding business context

For you if:

• Code Ninja: You enjoy working with Python and Airflow, and have hands-on experience with cloud technologies
• Team player: You like to work in a cross-functional team in which you help each other achieve results together
• Impact maker: You thrive on turning ideas into production-ready code that drives real impact