Data Engineer

Wallenius Wilhelmsen group; Göteborgs kommun; On-site; SEK 438,933 - 658,399; Full time

Benefits offered by this job

Low-cost health insurance options

Company-matching 401(k) plan

Company-paid life insurance

Job summary

Wallenius Wilhelmsen group in Sweden is seeking a Data Engineer for the Enterprise Data Hub to design and operate scalable data pipelines. The role emphasizes strong SQL and Python skills, with responsibilities including developing reusable data models and implementing CI/CD practices.

Join a team dedicated to transforming global logistics with a focus on reliability and quality, as well as participation in green initiatives aiming for carbon neutrality by 2040. The position offers opportunities for career development and a supportive work environment.

Qualifications

• Strong hands-on experience building and operating data pipelines.
• Advanced SQL skills and strong programming in Python.
• Solid understanding of lakehouse architecture and data models.

Responsibilities

• Design, build, and operate scalable data pipelines.
• Develop and maintain reusable data models.
• Implement CI/CD and automation using GitHub.

Skills

Data pipelines in Microsoft Fabric

Advanced SQL

Python programming

Lakehouse architecture

CI/CD practices

Data quality monitoring

Tools

Azure Data Factory

GitHub

Microsoft Purview

Job description

Data Engineer – Enterprise Data Hub

Join us in transforming global logistics. As the market leader in roll‑on/roll‑off shipping and vehicle logistics, we manage the global distribution of cars, trucks, and heavy equipment across six continents.

We lead the green transition in logistics and aim to be carbon neutral by 2040, and we need experienced data engineers to build and operate the Data Hub platform.

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.

What You’ll Do

• Design, build, and operate scalable data pipelines and transformations within Microsoft Fabric and Azure.
• Develop and maintain reusable, production‑grade data models and entities such as Cargo, Capacity, and 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.

Job Requirements

Technical Expertise

• Strong hands‑on experience building and operating data pipelines in Microsoft Fabric, Azure Data Factory, or equivalent platforms.
• Advanced SQL and strong programming skills in Python or similar for scalable data transformation.
• Experience with 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 such as 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 team to align on upstream data models, ingestion, and data availability.
• Partner with initiative teams (Network Visibility, Integrated Enterprise Planning, Demand Forecasting) to translate business requirements into scalable data solutions.

Benefits

• Choose from a range of low‑cost health insurance options to support your well‑being, including medical, dental, and vision after 30 days of employment.
• Secure your financial future with an industry‑leading company‑matching 401(k) plan.
• Company‑paid life insurance, short‑term and long‑term disability.
• Explore career development with access to on‑the‑job training.
• Access to 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.

Equal Opportunity Employer

We are an equal opportunity employer committed to building an inclusive workplace where everyone feels valued and empowered to contribute. Our journey towards sustainable and integrated logistics compels us to attract people with diverse experiences, skills, and abilities.