Senior Data Engineer

Are you ready to make your mark as a senior data engineer in a job that offers the opportunity to work on globally impactful operations, all while being part of a dynamic and enthusiastic team? Imagine automating the real-time sensor data from our fleet and supporting on NOx reduction for sustainability reporting. In this role, you will have the chance to contribute to our operations by utilizing your skills in data movement and creating data insights. You will have the opportunity to work with cloud technology platforms like Azure Databricks and Azure Data Factory. Our Data Analytics team supports multiple business units, empowering their craftsmanship and specialization. Besides our core business, we also support our secondary processes and departments, including finance, procurement, HR, and more.

Your responsibilities as a senior data engineer:

• Manage and oversee a specific domain of data originating from domain-specific systems.
• Convert the requirements from the data product owner to a suitable solution within the established architecture.
• Translate data from source system to corporate product definitions.
• Optimize and improve existing data infrastructure for performance, reliability, and scalability.
• Develop and sustain data pipelines from source systems to central data systems.
• Manage data integration, processing, and modeling.
• Provide relevant reporting that can be used by the data product owner.
• Provide data access in accordance with authorizations, following security and architectural guidelines.
• Ensure compliance with software development guidelines.
• Responsible for ensuring quality through testing and deploying to production.
• Responsible for working in compliance with the relevant SHE-Q policies and ensures continuous improvement.

Your qualities:

• At least 10 years’ relevant work experience as a data engineer.
• A bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
• Strong understanding of various business processes and the ability to translate business needs into technical requirements.
• Experience with developing, configuring and deployment of data solutions using cloud services and development languages (Python, SQL).
• In-depth knowledge of Azure Databricks, Python/Pyspark, SQL, Azure Data Factory, Azure Data Solutions and Azure Digital Twin.
• Data warehousing experiences with Kimball & Generic data modelling.
• Experience with Event-driven, Real-time / Stream processing is a plus.
• Experience with Power BI is a plus.
• Having knowledge and experience of IoT Data processing and/or Time-series DB is a plus.
• Good command of written and spoken English.

We offer:

• A dynamic environment: A job that allows you to collaborate with a talented team of experts from different backgrounds and contribute to making a significant impact.
• Rewarding conditions: A competitive salary and much more, including holiday allowance, holiday entitlement of 26 days (based on a full-time contract) and a number of collective scheduled days off, a non-contributory pension scheme, collective schemes such as company health insurance and travel allowance.
• Career development: We offer you plenty of opportunities to bring out the best in yourself for example through (online) courses at our Boskalis academy.
• The Boskalis campus: Experience the unique Boskalis vibe at our Papendrecht site, complete with restaurants, sports field, and a wharf where our vessels dock.
• Young Boskalis: Are you under 36? Come and join Young Boskalis! Have fun and join in social and sports activities ranging from pub quizzes to yoga, bootcamps and an annual sailing boat race.

Extra information:

• Your team: You will be part of the IT Data Services team. This team consists of architects, a product owner, data engineers, BI engineers and software engineers. The team manages our data- and BI platform and manages a state-of-the-art AI-chat and agentic platform.
• Where you will work: For office-based roles, in consultation with your manager and your team, you work partly at home and partly in the office.
• Full/part-time job: The position of senior data engineer is a full-time job (40 hours a week).
• Next steps: Apply easily by completing the online application form. Interviews are held online or in the office. Once it’s clear we’re a good match, we’ll make you an offer – and look forward to welcoming you to the company.

About Boskalis: Working at Boskalis is about creating new horizons and sustainable solutions. In a world where population growth, an increase of global trade, demand for (new) energy and climate change are driving forces, we challenge you to make your mark in finding innovative and relevant solutions for complex infrastructural and marine projects.