Role Overview
Vanderlande delivers advanced baggage handling systems for over 600 airports globally, transporting more than 4 billion pieces of baggage per year. In the parcel market, our solutions handle 52 million parcels daily. As a data engineer, you will be responsible for delivering data intelligence solutions to our customers all around the globe, based on an innovative product, which provides insights into the performance of their material handling systems. You will be working on implementing and deploying the product as well as designing solutions to fit it to our customer needs. You will work together with an energetic and multidisciplinary team to build end-to-end data ingestion pipelines and implement and deploy dashboards.
Tasks and Responsibilities
- You will design and implement data & dashboarding solutions to maximize customer value.
- You will be responsible for communicating with the end customers directly and addressing their needs as good as possible.
- You will deploy and automate the data pipelines and dashboards to enable further project implementation.
- You embrace working in an international, diverse team, with an open and respectful atmosphere.
- You leverage data by making it available for other teams within our department as well to enable our platform vision.
- Communicate and work closely with other groups within Vanderlande and the project team.
- You enjoy an independent and self-reliant way of working with a proactive style of communication to take ownership to provide the best possible solution.
- You will be part of an agile team that encourages you to speak up freely about improvements, concerns, and blockages. As part of Scrum methodology, you will independently create stories and participate in the refinement process.
- You collect feedback and always search for opportunities to improve the existing standardized product.
- Execute projects from conception through client handover with a positive contribution on technical performance and the organization.
- You will take the lead in the communication with different stakeholders that are involved in the projects that are being deployed.
In this challenging and responsible position, you will have the chance to make a significant contribution to industry-leading projects and be connected to our dedicated people and customers. We offer a position in an informal, international and professional working environment with a lot of scope for personal development. This position offers a competitive salary range of € 4180 to € 5674 gross per month (excluding 8% holiday allowance). Benefits include: 40 vacation days, flexible working hours, a hybrid workplace (40% home/60% office), a Health & Wellbeing budget of €300 per year, commuting allowance, working from home allowance, collective pension scheme, on-site health centers (gym, physiotherapists), access to Vanderlande Academy, and a company restaurant.
- Strong communication skills in English.
- Skilled at breaking down large problems into smaller, manageable parts.
- Experience in guiding, motivating and training engineers.
- Minimum 3 years' experience with building and deploying complex data pipelines and data solutions.
- Bachelor’s or Master’s degree in Computer Science, IT, or equivalent.
- Experience with NoSQL and unstructured data; event processing tools like Splunk or the ELK stack.
- Minimum 3 years’ experience with visualization software, preferably Splunk (or else PowerBI, Tableau, or similar).
- Hands-on experience with data modeling.
- Hands-on experience with programming in Python, and proficiency in Test-Driven Development using pytest.
- Experience in data engineering using DevOps principles.
- Experience with data schemas (e.g. JSON/XML/Avro).
- Experience in deploying services as containers (e.g. Docker, Podman).
- Experience in working with cloud services (preferably with Azure).
- Experience with streaming and/or batch storage (e.g. Kafka, Oracle) is a plus.
- Experience in creating APIs is a plus.
- Experience with Databricks is a plus.
- Experience in data quality management and monitoring is a plus.
