Data Engineer

Wallenius Wilhelmsen; Göteborgs kommun; On-site; SEK 700,000 - 980,000; Full time

Job summary

Wallenius Wilhelmsen seeks an experienced Data Engineer to build and evolve our Data Hub, serving as the foundation for trusted, near real-time data across Logistics, Shipping, Operations and Finance. You will design scalable pipelines, reusable data models and governed interfaces that enable faster decision-making and improved operational efficiency.

You will collaborate with cross-functional teams, apply lakehouse concepts and ensure delivery quality while balancing short-term needs with

Qualifications

• Strong hands-on experience in building and operating data pipelines.
• Proficient in SQL and Python with scalable transformations.
• Familiarity with lakehouse architectures and batch/streaming patterns.

Responsibilities

• Design, build and operate scalable data pipelines and transformations.
• Develop reusable data models such as Cargo, Capacity and Voyage.
• Collaborate with architects, platform teams, and stakeholders to translate needs into data solutions.
• Ensure data is easy to consume, well documented and delivered through scalable patterns.
• Contribute to near real-time, event-driven data patterns where relevant.

Skills

SQL

Python

Tools

Microsoft Fabric

Azure Data Factory

GitHub

Delta/Parquet

Event Hubs

Microsoft Purview

Job description

Wallenius Wilhelmsen is the global leader in integrated vehicle transportation and logistics, supporting our customers across their supply chain, all the way from the factory to the end-customer. Our ambition is to lead the way in transforming shipping and logistics.

We transport and handle cars, tractors, trains, windmills, or even whole factories for some of the most well-known companies in the world. Our eyes will always be on delivering supreme quality in everything we do, while moving towards zero-emission logistics. We are powered by nearly 9,500+ people, working on vessels and at ports, at vehicle and equipment processing centers in 28 countries.

Our success is built on our people. Rooted in a strong safety culture and guided by our values – We Care, We Challenge, We Commit – we create an environment where people can grow, contribute, and perform at their best. As a global company listed on the Oslo Stock Exchange, we offer international opportunities within a collaborative and values-driven culture.

See yourself at Wallenius Wilhelmsen. We collaborate, we care, we challenge every day to keep the world in motion and transform logistics into a zero- emissions, carbon-free industry. Join us and make it happen!

The role

We are looking for an experienced Data Engineer to help build and evolve our Data Hub -the foundation for trusted, reusable and near real-time data across Logistics, Shipping, Operations, Inventoryand Finance.

The Data Hub enables forward-looking insights such as predicting volume flows, monitoring capacity constraints and identifying congestion risks. By providing standardized and governed data products, it supports faster decision-making and more efficient operations across the logistics network.

In this role, you will work at the intersection of data engineering, platform development and business enablement, turning complex data from multiple systems into scalable and reusable data products. This means not only building strong technical solutions, but also working with stakeholders across different parts of the organization to understand how data is used, translate business needs into technical requirements and help teams make effective use of the data products you build.

What you’ll do

You will design, build and operate scalable data pipelines and transformations primarily within Microsoft Fabric and Azure, with a strong focus on production quality, reliability and reuse.

A key part of the role is developing reusable data models and core business entities such as Cargo, Capacity and Voyage, aligned with the enterprise data model. You will help establish consistent patterns across the Data Hub, including medallion architecture, data contracts, observability and governed interfaces.

You will also contribute to near real-time and event-driven data patterns where relevant, helping enable low-latency use cases across initiatives such as Network Visibility, Integrated Enterprise Planning and Demand Forecasting.

Working closely with architects, platform teams, product and initiative teams, and stakeholders across the business, you will help turn operational and analytical needs into well-designed data solutions. You are comfortable discussing requirements with both technical and non-technical stakeholders, asking the right questions and helping clarify what data is needed and how it should be structured.

You will help ensure that data is easy to consume, well documented and delivered through scalable platform patterns while balancing immediate business needs with long-term architectural principles and reuse.

What you’ll need

You have strong hands-on experience building and operating data pipelines in Microsoft Fabric, Azure Data Factory or similar cloud data platforms.

You are highly proficient in SQL and have strong programming skills in Python or a similar language, with experience building scalable data transformations and reusable data models across multiple data sources.

You have a solid understanding of lakehouse architecture, Delta/Parquet formats, batch and streaming patterns, as well as the operational aspects of running data solutions in production.

Experience with CI/CD, version control and automated deployment, using GitHub or similar tools, is also important.

You approach data engineering with a strong ownership mindset and build for reliability, maintainability and reuse rather than one-off delivery.

In addition to your technical expertise, you are comfortable working across different functions and levels of the organization. You can communicate complex data concepts in a clear and pragmatic way, understand different stakeholder perspectives and translate business and operational needs into scalable technical solutions.

You don't need every requirement to be fully defined before getting started. You are able to explore a problem together with stakeholders, challenge assumptions where needed and use your technical expertise to help shape the right solution.

Highly relevant experience

Experience with event-driven architectures, streaming technologies such as Event Hubs, API-based integration patterns or decoupled architectures is highly valuable.

Familiarity with data governance, metadata management and tools such as Microsoft Purview is also relevant.

Experience from logistics, shipping, supply chain or other operationally complex industries is a strong advantage, particularly if you have worked closely with operational or business stakeholders to translate complex processes into data products or analytical solutions.

What success looks like

Success in this role means making high-quality data easier and faster to use across the organization. You will help reduce the time it takes to deliver new data products, increase reuse across teams and improve data quality, freshness and reliability.

You will also help create a stronger connection between the Data Hub and the teams using its data ensuring that technical solutions solve meaningful business problems while remaining scalable and reusable across the organization. Most importantly, you will contribute to a scalable Data Hub where teams can build on trusted data instead of repeatedly creating the same solutions from scratch.

At Wallenius Wilhelmsen, we prioritize your well-being. Our industry-leading benefits and perks are designed to help you thrive in your career and your life outside of work. From affordable healthcare to well-being, we’ve got you covered.

Our commitment to equal opportunities

We are a global group of people from diverse backgrounds and lifestyles. Wallenius Wilhelmsen is proud to be an equal opportunity employer committed to building a workplace where all contributors feel they can bring their best selves every day, learn from each other, and be appreciated. Our journey towards sustainable and integrated logistics compels us to attract people with diverse experiences, skills, and abilities.