Data engineer

NLD-Zaandam, Provincialeweg 11
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Your new job and office

Gall & Gall is in the midst of a transformation. We are rapidly changing from a mainly offline focused liquor store to an omnichannel player focused on technology meets comfort where quality is more important than quantity and where a non-alcoholic alternative is just as tasty. Under the umbrella of Ahold Delhaize corporate, Gall & Gall is able to set its own course which creates an entrepreneurial, almost startup-like atmosphere where every day matters. 
Who we are 
With over 400.000 employees the Ahold Delhaize family of great local brands serves more than 55 million shoppers each week across the United States, Europe and Indonesia. Each brand shares a passion for delivering great food, value and innovations, and for creating inclusive workplaces that provide rewarding professional opportunities. 
Gall & Gall is one of the great local brands in the Netherlands, next to Albert Heijn, Etos and Gall & Gall has been selling liquor since 1884 and is the largest wine & liquor specialist in the Netherlands. With over 600 stores and an online shop we have a strong presence, both online and offline. 

•    Append to our data platform to take it to the next level with regards to data quality, data management.  
•    Provide a platform that allows structuring of data into a scalable and easily understood architecture 
•    Work in a multi-disciplined team where you'll build a platform that will be used by your data engineer peers to create beautiful business solutions that create customer value drivers.  
•    Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses; 
•    Maintain a good, current and demonstrable knowledge of adjacent application and market developments both for inspiration and for benchmarking the concepts. 
•    Eager to get hands dirty and implement stories, while still also doing work on backlog, meeting stakeholders, documenting stories, etc. 
•    Work closely with PO to create roadmap and stories 
•    Collaborate with other engineers to discuss and align interactions with other products 

What do we offer?

At Gall&Gall we aim to grow, and this is only possible if you grow along with us. And as we work together to build on our brand and your career, you can count on (based on 40 hours per week): 
•    A competitive annual gross salary up to € 62k
•    Plus a bonus on top of your salary. The annual amount can range from 45 to 130% of your average monthly paycheck.
•    An attractive pension plan of which we pay out over 4x times the amount you contribute to the fund. So you’ll continue to enjoy a comfortable income even after retiring.
•    Plenty of holidays, 45 days to be exactly: 25.5 regular paid vacation days and 19.5 ADV days. Enjoy!
•    You develop as rapidly as the tech around us. Thanks to feedback loops with the best & the brightest tech-savvy colleagues. And by being a contributing member of the Technology community – deep dive into our shared knowledge!
•    An employer that combines the best of two worlds: the career opportunities of a corporate, and the drive and autonomy ‘to boldly go where no one has gone before’ that typifies scaleups. 
•    A powerful laptop and ditto smartphone are ‘included’. 
•    You work with the latest & greatest tooling. Pinky promise.


•    3+ years’ experience in the domain of large-scale data management, data engineering. 
•    Hands-on experience incl. solid programming to implement pipelines integrating database management systems, cleaning data and improving its data quality 
•    Experience with data management platforms, tools and the Azure platform environment 
•    Fluent in Python and Spark
•    ETL experience
•    Curious, proactive, fast learner and able to quickly pick up new areas 
•    Perfect communication skills in English (Dutch is a bonus)


Click the apply button and discover how you can work together with diverse and enthusiastic colleagues. Questions? Nora Boujemaaoui, Talent Acquisition Partner, can tell you more about this challenging role via


Nora Boujemaaoui

Application process

1st interview
2nd interview
Job offer
Opt. assessment
Apply to: Data engineer