Data Engineer

Wallenius Wilhelmsen; Göteborgs kommun; On-site; SEK 600,000 - 800,000; Full time

Benefits offered by this job

Low-cost health insurance options

401(k) plan with company matching

Company-paid life insurance

Career development training

Exclusive discounts on attractions and travel

Job summary

Wallenius Wilhelmsen in Sweden is looking for a Data Engineer to build and operate their Data Hub platform. You will be pivotal in enabling data-driven decision-making across global operations.

The role requires strong hands-on experience with data pipelines, advanced SQL skills, and proficiency in Python. Join us in transforming global logistics as part of a mission-driven company focused on sustainability and innovation.

Qualifications

• Strong hands-on experience building and operating data pipelines in Microsoft Fabric or Azure Data Factory.
• Advanced SQL and strong programming skills in Python for scalable data transformation.
• Experience with data modeling and building reusable data models.

Responsibilities

• Design, build and operate scalable data pipelines and transformations.
• Develop and maintain reusable, production-grade data models.
• Ensure data quality, monitoring, and operational reliability across all pipelines.

Skills

Data pipeline development

Advanced SQL

Python programming

Data modeling

CI/CD practices

Data quality monitoring

Education

Bachelor's degree in Computer Science or related field

Tools

Microsoft Fabric

Azure Data Factory

GitHub

Job description

DATA ENGINEER – Enterprise Data Hub

Join us in transforming global logistics. At Wallenius Wilhelmsen, we don’t just move cargo, we move the world.

Overview

As the market leader in roll‑on/roll‑off (RoRo) shipping and vehicle logistics, we manage the global distribution of cars, trucks, and heavy equipment across six continents. With 125 vessels, 66 processing centres and 8 marine terminals, we are reimagining how global logistics can be smarter, greener and more connected. We’re on a mission to lead the green transition in logistics and aim to be carbon neutral by 2040.

About The Role

We are looking for an experienced Data Engineer to build and operate the Data Hub platform – a core enabler for Enterprise Orchestration and data‑driven decision‑making across our global operations. This is a hands‑on engineering role (70 % engineering / 30 % design and enablement). You will work closely with business process experts in Shipping, Logistics and Supply Chain Management, as well as architects, platform teams and initiative teams, to deliver scalable, production‑grade data products.

What is Data Hub?

The Data Hub provides end‑to‑end, real‑time intelligence across Logistics, Shipping, Operations, Inventory and Finance. It enables forward‑looking insights such as predicting volume flows, monitoring capacity constraints and identifying congestion risks. Through standardised and governed data products, the platform supports faster decision‑making and operational efficiency across the logistics network.

What You’ll Do

• Design, build and operate scalable data pipelines and transformations within Microsoft Fabric (MF) and Azure.
• Develop and maintain reusable, production‑grade data models and entities (e.g. Cargo, Capacity, Voyage) aligned with the enterprise data model.
• Implement and enforce medallion architecture (Bronze/Silver/Gold), with a strong focus on high‑quality, reusable Silver layer data.
• Build data products with clear ownership, SLAs, documentation and governed interfaces (data contracts).
• Contribute to event‑driven and near real‑time data patterns where relevant to enable low‑latency use cases.
• Ensure data quality, monitoring, observability and operational reliability across all pipelines and data products.
• Implement CI/CD and automation using GitHub, and contribute to Infrastructure as Code practices (Bicep).
• Collaborate with architects and platform teams to align on standards, patterns and platform evolution.
• Enable initiative teams through reusable components, onboarding support and clear consumption patterns.

What You’ll Need

• Strong hands‑on experience building and operating data pipelines in Microsoft Fabric (MF), Azure Data Factory (ADF) or equivalent platforms.
• Advanced SQL and strong programming skills in Python (or similar) for scalable data transformation.
• Experience with data modelling and building reusable, conformed data models across multiple data sources.
• Solid understanding of lakehouse architecture, Delta/Parquet formats and batch vs streaming processing patterns.
• Experience with CI/CD, version control and production deployment using GitHub or similar.
• Understanding of data quality, monitoring and operational aspects of running data platforms in production.

Engineering Mindset

• Strong ownership mentality – you build for reliability, reuse and long‑term maintainability.
• Structured and pragmatic approach to solving complex data engineering challenges.
• Ability to balance speed of delivery with platform standards and quality.
• Comfortable working in a product‑oriented environment where data is delivered as reusable assets.

Nice to Have

• Experience with event‑driven architectures and streaming technologies (e.g. Event Hubs).
• Familiarity with API‑based data integration patterns and decoupled architectures.
• Experience with data governance tooling (e.g. Microsoft Purview) and metadata management.
• Domain experience within Logistics, Shipping, Supply Chain or similar industries.

How Success Is Measured

• Reduced time from initiative request to first usable data product or entity.
• High reuse of Data Hub entities across initiatives, reducing duplication.
• Strong SLA adherence, data freshness and low incident rates.
• High data quality and completeness of documentation and metadata.
• Contribution to scalable, modular platform patterns adopted by multiple teams.

Collaboration Model

• Work closely with the Data Hub team to design and deliver reusable data products aligned with platform standards.
• Collaborate with the Enterprise Data Platform (EDP) team to align on upstream data models, ingestion and data availability.
• Partner with initiative teams (e.g. Network Visibility, Integrated Enterprise Planning, Demand Forecasting) to translate business requirements into scalable data solutions.

Benefits

• Low‑cost health insurance options, including medical, dental and vision after 30 days of employment.
• Industry‑leading company‑matching 401(k) plan.
• Company‑paid life insurance, short‑term and long‑term disability.
• Career development with access to on‑the‑job training.
• Exclusive discounts on attractions, automotive, travel and more.

Working Conditions

Environmental conditions vary by location, including indoor and outdoor settings. Employees may encounter extreme temperatures, wetness, wind, fumes, dust particles and drafts. Safety is our top priority, and we are dedicated to fostering a safety‑first environment, ensuring all precautions are taken to protect our team in every working condition.

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.