This is Readly

Readly is a digital subscription service where users across 50 markets have unlimited, “all-you-can-read” access to 7,500 national and international magazines and newspapers - all in one app. Readly has partnered with 1,200+ publishers around the globe to drive the digital transformation in our industry and contribute to thriving societies and a healthy planet.

Our passionate team of 150+ people in Sweden, Germany, France and the UK, have created a value-driven ecosystem where all our stakeholders share the purpose of bringing inspiration and insight into people’s daily lives and unlocking meaningful moments of relaxation.

Since September 2020 Readly is listed at Nasdaq Stockholm.

About the role

We are looking for more data-focused engineers to support our journey towards building more personalized and data-driven products. We currently have two teams who work on ingesting, curating, and preparing data for analytical and operational use. The teams are expected to take ownership of the over full lifecycle of data and support existing data products like recommendation- and search engines. Which team you fit in will depend on your profile and interests. Our cross-functional teams, consisting of data scientists, data engineers and software developers, also work closely with the Analytics- and CRM-teams to create a personal Readly experience in all touchpoints with our users.

At the company we work with the following technologies:

• AWS as our cloud service provider

• Snowflake (and Redshift) as a data warehouse solution

• dbt for data transformation and dependency management

• Ruby/Go/Python as mainly used programming languages

• Terraform as IaC tool

• Step functions for data job orchestration

• Gitlab for code versioning and deployment pipelines

What is expected from you

It is expected of you to have a great understanding of the data engineering area as well as basic understanding of the data science area. While it’s not important which service provider, experience working with modern Data Engineering in a cloud environment is essential for the job. Having hands-on experience working with the exact technologies we use is not a requirement although working with similar products within the same area is a must. We have, however, made a bet on Snowflake as our primary data warehouse, so Snowflake experience is a big plus. As we are building a lot of new and exciting services and products, your input on a lot of critical and long-lasting decisions will be greatly appreciated. Therefore, it is important that you have a good level of knowledge about what it means to develop a data product, from data modelling to robust deployment strategies for data pipelines. Good communication skills and ability to work in a team with a culture of knowledge sharing is of course a must as well.

Application

Do you feel this is a perfect match? Please apply by clicking the link below!