This is Readly
Readly offers unlimited access to thousands of national and international magazines and newspapers, all in one app. We've partnered with 1,200+ world-famous publishers, providing readers with 7,500+ titles and over 210,000 back issues. Users across 50 markets have already read 83 million magazines. We're a value-driven ecosystem committed to bringing the magic of magazines into the digital future, with a mission to make trusted content available anytime, anywhere. Our goal is to boost journalistic content consumption through an innovative digital product, while minimizing our climate impact. With a dedicated team of 100+ professionals in Sweden, Germany and the UK, we're making magazines and trusted journalism more accessible than ever.
Why this role
We want to connect our modeling and metrics layer to real business impact at scale. Speed, reliability, and performance matter, so you will help teams get to answers faster. You will report to the Head of Data and AI and work closely with Marketing, Product, and Finance.
What you will do
Build and maintain DBT models for analytics and BI consumption
Optimize and structure Snowflake for performance and scalability
Design and maintain transformation pipelines using modern ELT
Partner with stakeholders to turn business needs into well-designed datasets
Monitor data quality, lineage, and performance metrics
Share knowledge and improve analytics engineering practices
Collaborate on analysis when needed to close the loop from data to decisions
Your skills
Proven experience as an Analytics Engineer
Strong SQL and dimensional modeling with dbt (Cloud or Core)
Snowflake expertise, including performance tuning
AWS proficiency (S3, IAM, Glue, Lambda, CloudWatch; Terraform/CDK a plus)
Comfortable with Git and CI/CD in a collaborative workflow
Clear communication with technical and non-technical partners
Tableau familiarity for consumption and collaboration
Able to perform analysis when needed
Nice to have
Familiarity with ML concepts and how modeled data serves ML use cases
Python for ELT or orchestration
Production experience operating Kubernetes clusters and deploying data/ML pipelines
Experience with data contracts and event tracking design
Our stack
DBT Cloud, Snowflake, Git-based workflows and CI/CD, AWS.
BI: Tableau.
Adjacent tools or equivalents are welcome if they solve the problem well.
The recruitment process
Step 1: Screening call.
Step 2: Hiring manager interview.
Step 3: Technical interview as a live pairing session.
Our values are based on passion, positivity and constant learning, and help us to motivate each other, celebrate together and give regular appreciation. We live in clear and open communication and approach every situation with an encouraging and constructive mindset. Our people are, just like you, humble team players that have the courage to try new things and value transparency. You will be given a great deal of freedom and an opportunity to grow. Join a team that is passionate about our product, proud about the mission and purpose we have and ambitious to grow Readly further.
Readly has been featured on the Allbright list for gender-balanced leadership three years running and maintains a 50/50 gender split among employees and managers, and we aim to maintain it. We encourage women to apply - if you meet most requirements, please apply.
Interviews are conducted on an ongoing basis and we are looking for someone to join our team as soon as possible. Please apply and tell us more about your motivations for this role.
