Data Analytics Engineer
Looking for your next Career Move in Ahold Delhaize?If you are looking for your next step in your Ahold Delhaize journey, you are in the right place to explore new opportunities across our business.
Ahold Delhaize is for people who are passionate about what they do and doing it well. We take pride in our high quality, delicious food and in our leading position as the world’s number one frozen bakery.
Our employees are one of our key ingredients, and together we play a critical role in driving the continued success of our business. We value the development and retention of great people in our business, if you are resilient, ambitious, a team player, and passionate about driving forwards your career with us, we would love to hear from you!
We’re AD/01, the tech studio that builds the future of food retail. Whether it’s in-store aisles, online baskets, or behind-the-scenes operations, we innovate the daily food experiences for farmers and families, grandmas and greengrocers, and pickers and packers alike.
We’re part of the Ahold Delhaize network, one of the world’s largest global food retail groups and a leader in both supermarkets and e-commerce. With 19 strong local brands in Europe, the United States, and Indonesia, we create a meaningful difference for our customers, our people, and the world around us. And we’re looking for the freshest minds excited to create the recipe for change.
Your new role and environment.
We are looking for a Data Engineer with an interest in maintaining and enhancing our HR analytics platform. You will design and build scalable pipelines, improve data quality and governance, and future-proof the platform for advanced analytics, reporting and insights by preparing data for HR use cases.
Key responsibilities of your role.
- Data Platform Stability & Scalability: Ensure reliable performance of HR data platform by building and maintaining ETL/ELT pipelines in Databricks
- Automation & Optimization: Develop automated processes , optimize data modelling workflows and Develop CI/CD pipelines for data workflows
- Quality & Security: Implement automated testing for data quality and enforce security standards.
- Agile Support: Collaborate with cross-functional squads to deliver enhancements and resolve incidents.
- Innovation: Prepare the HR data platform for innovations regarding reporting and analytics
- Continuous Improvement: Implement scalable solutions aligned with business needs.
What’s in it for you?
We ask a lot. (We’re looking for the best, after all). But we offer a lot, too.
So, what do we have in store for you? We offer flexible hours and a hybrid working model, allowing you to work both from home and at the office. We provide competitive benefits to support health, well-being and your professional growth. This includes: a significant budget on the benefit platform and a yearly bonus. At AD01 we welcome everyone, just the way you are, and encourage individual growth with valuable opportunities and a worldwide across-brand network.
Requirements.
- Experience with Databricks and with programming in PySpark, Python and SQL
- Excellent data wrangling skills, including cleaning, transforming, and integrating data from multiple sources
- Understanding of HR data
Nice to Have (Not Required)
- A curious mind and investigative attitude
- Basic statistical understanding is a plus
- Excellent communication and collaboration skills
- Understanding of HR data models (Employee Central, payroll schemas, org structures)
- Experience with GDPR, PII, and secure handling of HR datasets
- ServiceNow familiarity.
Apply now
If you’re excited to help us grow, then please apply now. If you feel like you might not tick all the boxes but have the skills and personality we’re looking for, then please also apply now!
Got questions? Don’t be shy. Pungaru Madalina, at [email protected], has answers.
For us, diversity means being inclusive of thoughts and skills, generational differences, LGBTQ+, gender, race and ethnicity, disabilities, nationalities and more. We accept everyone for who they are.
