Data Engineer at Operational Awareness - Warehouse team within Digital Service Platform (DSP)

Bedrijfsomschrijving

VL richt zich op 2 pijlers:

1. Airport

2. Warehousing & Parcel

In Corona tijd activiteiten mn gericht op Warehousing & Parcel (mn Amazon)

Cultuur: open cultuur, internationaal, wel brabantse inslag, gericht op samenwerking.

Goed werkgeverschap: sportschool fysio, bedrijfsrestaurant, etc.

Projecten organisatie

LET OP: VI wil ongevraagd geen CV's ontvangen ! (CL: 21 september 2018)

Vanderlande is the global market leader in baggage handling (AIRPORTS) systems, and (WAREHOUSING) warehouse automation solutions.

Vanderlande Industries ( VI afgekort ) is recent overgstapt op twee nieuwe namen voor entiteiten:

- Airports

- Warehousing

Deze twee onderdelen moeten samenwerking intensiveren.

De inhoudelijke werkzaamheden, systemen, besturing, processen en SC / productie zijn nagenoeg gelijk, dus samenwerking, risicosprijding, schaalvoordelen, snelheid en customer satisfaction moeten conform nieuwe beleid eenduidig beantwoord en gemaakt worden.

-

Vanderlande's baggage handling systems move 3.2 billion pieces of luggage around the world per year, in other words 8.8 million per day. Its systems are active in 600 airports including 17 of the world's top 25. More than 20 million parcels (300 packages per second) are sorted by its systems every day. These have been installed for a variety of customers including the four largest parcel and postal companies in the world. In addition, 12 of Europe's top 20 e-commerce companies and many distribution firms have confidence in Vanderlande's efficient and reliable solutions.

The company focuses on the optimisation of its customers' business processes and competitive positions. Through close cooperation, it strives for the improvement of their operational activities and the expansion of their logistical achievements. Vanderlande's extensive portfolio of integrated solutions - innovative systems, intelligent software and life-cycle services - results in the realisation of fast, reliable and efficient automation technology.

Established in 1949, Vanderlande has more than 4,000 employees, all committed to moving its customers' businesses forward at diverse locations on every continent. With a consistently increasing turnover of more than one billion euros, it has established a global reputation over the past six decades as a highly reliable partner for value-added automated material handling solutions.

-

Global Commercial Baggage Handling System market competition by top manufacturers, with production, price, revenue (value) and market share for each manufacturer; the top players including

Daifuku Group

Siemens AG

Vanderlande Industries

Beumer Group

G&S Airport Conveyor

Pteris Global Limited

Fives Group

Alstef

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.

Data Engineer at Operational Awareness - Warehouse team within Digital Service Platform (DSP)

Job Location: Veghel

Vanderlande provides baggage handling systems for 600 airports around the globe, capable of moving over 4 billion pieces of baggage around the world per year. For the parcel market our systems handle 52 million parcels per day. All these systems generate data. Do you see a challenge in building data-driven services for our customers using that data? Do you want to contribute to the fast-growing Vanderlande Technology Department on its journey to become more data driven? If so, then join our Digital Service Platform stream!

Your Position

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.

Your 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.

Your profile

• 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.