Picnic Engineering

Picnic is the world's fastest growing online supermarket with a unique business model and a highly engaged customer base. Our mission is to make grocery shopping simple, fun, and affordable for everyone.

Latest Posts

Solving the most complex task of grocery shopping — meal planning

We’re all familiar with grocery shopping. You venture into your nearby supermarket, walk down all the aisles and start filling your basket…

Hill-climbing towards good plannings with Timefold

Each day, Picnic delivers groceries to tens of thousands of customers. To do this as efficiently as possible, operations follow a plan…

How tech-driven workforce planning can bring better-balanced outcomes for everyone

Picnic’s smart scheduling solution lets employees mix and match scheduling models, creating better-balanced outcomes for everyone!

Applying continuous integration to infrastructure @ Picnic

It is amazing to see how far we have ventured with a solid foundation for our infrastructure as code (IaC) building blocks, having…

Relocating for a new life in the Netherlands with Picnic

My wife and I are from India, and had been living in the United States for 10 years then, mostly in California. While life there was sunny…

The Hidden Complexity of Online Payments

I don’t think I’ve ever underestimated the depth of a topic as much as I did with online payments. Like most people, I used to be just…

Building Picnic together — How to embrace customer feedback

From day one, Picnic has set out to revolutionise grocery delivery with a model that cuts out physical stores, reduces road traffic, and…

Improving Maven build times

Before our recent improvements to the Maven build process, our developers had mixed experiences with slow build times. For some, it was an…

Automating large-scale refactorings with Error Prone

When it comes to writing good computer programs, avoiding mistakes is key. To prevent errors, several processes are generally put in place…

Picnic open-sources dbt-score: linting model metadata with ease!

With the rise of tools like dbt, it has become much easier to document, test and create data models in a data warehouse. In a previous blog

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