Senior Data Platform Engineer

• As a Data Engineer you design build and optimize scalable data solutions within Azure and Databricks. You develop reliable data pipelines and data ingestion workflows that make data secure accessible and usable across the organization. Together with your team you work on a future-proof data platform that supports data-driven decision-making within Jumbo.
• By making data reliable and accessible you help Jumbo make smarter and faster decisions. From supply chain optimization to customer insights your work directly contributes to improving processes supporting teams and creating a better shopping experience for our customers.
• You work within the Data Platform team on building and improving Jumbos modern cloud data platform. Together with your colleagues you develop scalable data solutions that enable teams across the organization to work with reliable and high-quality data.
• You work closely with data engineers platform engineers analysts and other addition you collaborate with both data producers and data consumers across the organization to ensure datasets are reliable accessible and easy to use.

Lets get started What youll do
As a Data Engineer you contribute to building and improving scalable data solutions within Azure and Databricks. You develop reliable data pipelines and ingestion workflows and ensure data is secure accessible and ready for use across the organization.

No two days are the same but your responsibilities include:

• Designing and implementing scalable data ingestion workflows using Python Delta Lake and Kubernetes;
• Ingesting data from various sources including SAP microservices and external systems;
• Building and maintaining the data platform within Azure and Databricks;
• Developing high-quality and reusable code in Python PySpark and SQL;
• Optimizing data workflows for performance scalability and cost efficiency;
• Collaborating with stakeholders including data producers and data consumers;
• Implementing standards for data governance quality and security;
• Monitoring troubleshooting and improving data pipelines and workflows;
• Mentoring junior engineers and contributing to best practices within the team.

Together we are Jumbo: This is where youll work
You will work within the Tech & Data domain at the Jumbo Tech Campus in Veghel. Here we build and improve scalable cloud data solutions that support teams across the entire organization.

At Jumbo things move fast. We continuously improve and encourage initiative. You will work in an informal environment with short lines of communication where collaboration ownership and innovation are central. Together we ensure our technology and data platforms continue to grow alongside Jumbos ambitions.

At Jumbo we are looking for people who take ownership enjoy collaboration and continuously look for improvements. You are proactive solution-oriented and feel at home in a dynamic environment.

In addition you bring:

• A strong foundation in software and data engineering concepts and best practices;
• Excellent Python skills;
• Hands-on experience with Azure and Databricks;
• Hands-on experience with workflow orchestration on Kubernetes;
• Experience building ETL/ELT workflows;
• Experience building CI/CD workflows for data pipelines;
• Experience monitoring and operating data pipelines;
• Strong stakeholder management skills and the ability to collaborate with both technical and non-technical colleagues.

• A gross monthly salary between 5900 and 7600 based on a 40-hour workweek;
• An annual bonus of up to 7.5% of your annual salary based on company objectives;
• 30 vacation days (with the option to buy or sell additional days) and 8% holiday allowance;
• Pension accrual through the Pension Fund for the Food Industry;
• Plenty of room for entrepreneurship growth and development through our Jumbo Academy GoodHabitz online training courses and an education budget;
• A fresh and diverse lunch in our Foodcafé good coffee and fresh fruit. You can also work out in our Jumbo Gym for a small fee;
• Various employee discounts such as 10% discount on groceries (up to 325 per year) participation in our collective health insurance and discounts through Benefits at Work.

Would you like to know more about our employment conditions Click here.