Data Engineer

At Mathem we're all about convenience. We create more time for whatever people love - cooking, family time, exercise, and work. We're dedicated to creating an outstanding experience for our customers - from planning purchases with your family until the milk is in your fridge. Working with us, you have a rare opportunity to put a positive impact on peoples’ lives.

As a Data Engineer at Mathem, you're working in close collaboration with data scientists, data analysts, and our product organization to set the technical foundation in building new, amazing products, helping our customers save even more time.

This is why you should join us!

At Mathem you'll also be part of a creative and helpful environment with a lot of heart. Our international environment consists of skilled but humble people, who really love to share their knowledge. When you want a break, there is probably a colleague up for a game of table tennis or a coffee, or you could just fill your inspiration by watching the beautiful view of Skeppsholmen. The managers will believe in you and have a great openness to your thoughts and way of working. And we will always aim for you to be totally comfortable being yourself!

Right now we’re looking for skilled Data Engineers, junior and senior ones, to join our new data team in our beautiful Stockholm office. As a part of an innovative, agile, international team in one of Sweden’s fastest-growing tech companies, you’ll have a unique opportunity. We’re working in a multi-cloud environment (AWS and GCP), but with a primary emphasis on the data product and services on GCP. You'll work with real-time streaming and get the chance to work closely with data scientists by creating the infrastructure and tooling related to machine learning. We’re always curious to try modern technologies, so at Mathem you will use the latest tech stacks and methodologies.

For further details on our setup, please read our very own Robert Sahlin’s blog post.

Responsibility

As a Data Engineer at Mathem, you'll work in close collaboration with your teammates in terms of data engineers, analysts, and scientists in the Data team. The team’s goal is to provide valuable insights, managing the data end-to-end. With the delivery of top-quality data in mind, you’ll set the technical foundation in our product development and data-driven strategies through the whole organization. Your work will affect every part of our business, including product development, supply chain optimization, finance, and BI systems. The team is really keen on trying out new tools and technologies, so besides working hands-on building the data pipelines, you’ll have the opportunity to bring new ideas and thoughts on “whats” and “hows” regarding our work with data.

This is what you’ll do

• Work closely with data scientists, product teams to understand data and analysis requirements
• Design and build new dimensional data models and schema designs to improve accessibility, efficiency, and quality of data
• Drive the design, building, and launching of new data pipelines and data products in production

We believe the right candidate could look something like this:

• Bachelor's degree and/or MSc in Computer Science or equivalent experience
• 1+ years of experience working for a technology company
• Strong software engineering fundamentals, including data structures and complexity analysis
• Fluency in an OOP language, such as Python, Java, C#, or similar, as well as an ANSI-SQL variant
• Interest in AI/ML
• You are a friendly person that appreciates a healthy tech culture

At Mathem we generally use this tech stack:

AWS

• Serverless (Lambda & dynamodb)
• Event-driven (sqs, sns & event bridge)
• Microservice architecture (API gateway + lambda)
• Bounded and pragmatic contexts
• Managed services if no serverless (e.g Elasticsearch)
• Infrastructure as Code (Cloudformation & SAM)
• Observability (kibana & cw for logs and datadog for dashboards, alerts, and metrics)

GCP

• Analytics (BigQuery, GA, GO, GTM, and our own data from AWS)
• ML (we also use Sagemaker in AWS)
• Datahem

Coding languages used in the data team

• Python
• Java
• Javascript

Excited about our journey? So are we!

Apply here