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Senior Data Engineer
Vanderlande
Develop and maintain scalable data pipelines on Azure for advanced analytics.
8d ago
Experienced (8-12 years), Expert & Leadership (13+ years)
Full Time
Pune, Maharashtra, India
Office Full-Time
Company Size
9,000 Employees
Service Specialisms
Automation
Material Handling
Software Solutions
Logistics Systems
Engineering
Turnkey Solutions
Sector Specialisms
Warehousing
Airports
Parcel
Role
What you would be doing
cloud architecture
data modeling
data pipelines
etl development
metadata management
data engineering
- You will work closely with other team members, fostering a culture of knowledge-sharing and continuous learning.
- You will be following agile methodologies to influence the product vision and roadmap, aligning these with organizational goals and stakeholder needs.
- You will design cloud-native architectures on platforms like Azure, ensuring cost efficiency and scalability.
- You will contribute to the adoption of tools like Large Language Models (LLMs) and Generative AI for innovative data solutions.
- You will design and implement data models to support transactional and analytical use cases.
- You will develop scalable data pipelines to transform and aggregate data for learning purpose and to support business use, while following data engineering best practices and Central Data Platform design guidelines (which you can can influence, ‘everyday better’).
- You will develop and optimize ETL/ELT processes for batch and real-time data ingestion, ensuring data quality and reliability.
- You will be developing, testing, and documenting data models and data collection for advanced analytics prototyping. This data, originating from a variety of data sources and types, is collected and used on our Central Data Platform on Azure, where it is made available in a fast accessible and safe way to support a multitude of insight use cases.
- You will leverage tools such as Databricks, Snowflake, Spark, and Delta Lake to enhance data engineering processes.
- You will enable metadata management, data lineage tracking, and cataloguing to improve data transparency and accessibility.
- You will drive the integration of emerging technologies, such as machine learning, real-time analytics and AI frameworks.
- You will collaborate with cross-functional teams to translate business requirements into technical solutions.
What you bring
databricks
azure
sql
nosql
agile
data engineering
- Proven ability to quickly get up to speed in our ecosystem and become a major contributor fast.
- 6-9 years of work experience inside the field of Data Engineering & Advanced Analytics, in the last role(s) working with Databricks within cloud context (Azure is a plus).
- You love working in fast-paced agile development and know your way around working in a larger enterprise, appreciating the dynamics involved.
- Senior level analytical skills combined with strong communication and problem-solving skills.
- Experience in data analytics and data development, with strong understanding of data base systems (like SQL, NoSQL) and data-interchange formats (like JSON).
- Ability to cooperate & coordinate with a multitude of Data Producers to ensure the right level of availability and reliability of data.
- Ability to quickly learn about the business processes in DMLS and the other Vanderlande Domains for which the data insights are created and/or used.
- Ability to actively raise data insight literacy in Vanderlande DMLS and with its stakeholders.
- Mastering and recently worked in and environment with Microsoft Azure and Databricks/Unity Catalog as major building blocks. Experience with Databricks AI/BI Genie is a plus.
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Company
Overview
Founded 1949
Year of establishment
Established in Veghel, Netherlands.
Acquired 2017
Acquisition by Toyota Industries
Joined a global logistics automation group while maintaining Dutch engineering roots.
600+ Airports
Baggage systems installed worldwide
Operates baggage handling systems across numerous international airports.
4B Bags
Annual baggage processed
Efficiently manages and transports billions of bags each year.
- Grew under the name Rapistan Lande in the 1960s, adopting 'Vanderlande' in 1989 and expanding internationally into material-handling automation.
- Delivers integrated solutions—innovative systems, smart software, and lifecycle services—to warehouses, airports, and parcel hubs.
- Its baggage systems operate in numerous airports, moving a large volume of bags annually.
- Parcel systems sort millions of items daily.
- FY2024 net revenue reached about €2.2 billion, supported by a healthy order book and steady intake.
- Typical projects include large-scale airport baggage halls, e-commerce warehouse sortation, and parcel distribution hubs.
- Specializes in airport baggage handling, warehouse automation, and parcel-sorting systems—trusted by top global retailers.
- Unusual fact: 9 of the 15 largest food retailers rely on its warehouse systems, processing deliveries for same-day promises worldwide.
- The company is committed to developing its employees and enabling them to reach their full potential.
- The organization is driven by innovation and continually strives for better ways of doing things.
- The company builds long-term relationships based on mutual respect and trust.
- The organization is customer-centric and constantly aims to exceed expectations.
- The company believes in delivering excellence through high standards and accountability.
- The organization works with passion and integrity in everything it does.
Net-Zero 2050
Emission Target
Goals to reach net-zero emissions by the year 2050.
- Committed to reducing CO2 footprint and improving energy efficiency across operations.
- Products and solutions focus on energy efficiency, sustainability, and innovation.
- Continuously works on reducing waste and improving recycling in processes.
- Invests in sustainable technologies to support the global transition to renewable energy.
- Fosters an inclusive work environment, encouraging diversity of thought, and building a workplace where everyone can thrive.
- Has made significant progress in increasing gender diversity, with women holding leadership positions across various departments.
- Monitors diversity metrics and aims to increase gender balance across all levels of the organization.
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