Vacant job

Do you want to build the next generation data platform at a market-leading software company in iGaming? At our client's company, you will have great freedom to influence the architecture and work with AI solutions in an innovative environment focused on developing and future-proofing their data platform.

About the role

Our client is a market-leading player developing high-performance platforms and systems for the global iGaming industry. They started with a focus on poker but now also offer a comprehensive casino platform. By licensing their products, they provide their partners with the tools needed to build, innovate, and succeed in their own markets.

We are now recruiting a Data Engineer for the growing Data & Insights team, where you will have the opportunity to take ownership of the technical infrastructure and transform raw data into reliable business value. You will combine operational work in existing environments with long-term responsibility for architecture, pipelines, and data models as the business expands globally.

What we offer

• A role at a product company with global reach and a modern tech stack – where you can truly make an impact, work closely with the business, and become part of a tight-knit office with pleasant colleagues. They are a company that prioritizes work-life balance, community, and cohesion through team events, international conferences, and enjoyable corporate meetings.
• An exciting opportunity to genuinely contribute to their data management and infrastructure. Since their customers are located in various global regions with diverse hosting solutions, you will have the chance to tackle advanced multi-cloud and multi-tenant environments and solve how to collect and integrate data in a smart, cost-effective, and optimal way.
• The opportunity to work at a workplace offering hybrid work in central Stockholm (3 days in the office and 2 days from home), a favorable bonus system, 6 weeks of vacation, and a shorter work week during June, July, and August with free Fridays.

Responsibilities

The role is hands-on and involves transforming complex data models into production-ready, reliable infrastructure that handles millions of daily transactions.

• Take ownership of the dbt project and develop data models for dashboards and reporting
• Manage, monitor, and further develop ETL pipelines in an AWS environment
• Troubleshoot and resolve incidents related to data quality, data flows, and performance
• Contribute to the design of a modern and scalable data architecture based on CDC and Iceberg
• Work with multi-tenant data infrastructure for global customers in multiple regions
• Support B2B customers in using data via Metabase
• Explore and develop AI-driven tools

We are looking for someone who

• Has a couple of years of work experience in data engineering, analytics engineering, or a similar technical role
• Has a good understanding of performance optimization, data flows, and data solutions
• Has advanced skills in SQL
• Has experience with cloud-based data warehouses such as Redshift, Snowflake, or similar
• Has experience designing, building, and maintaining ELT/ETL pipelines
• Has good proficiency in Swedish and English, both spoken and written

It is an advantage if you have

• Experience with dbt
• Knowledge or experience from the iGaming industry
• Experience handling large transaction volumes
• Experience with the AWS ecosystem such as Redshift
• Experience with Lakehouse architecture (e.g., Apache Iceberg) or multi-tenant solutions
• Interest and experience in integrating AI tools and agents into daily data work

To succeed in the role, you have the following personal qualities:

• Adaptable
• Goal-oriented
• Responsible
• Socially confident
• Intellectually curious

Our recruitment process

This recruitment process is handled by Academic Work, and our client's request is that all questions regarding the role be sent to Academic Work.

We apply continuous selection and will remove the ad when enough candidates have reached the final stage of the recruitment process. A CV is required when applying. We do not use cover letters as a selection method, so one is not needed. The recruitment process includes two selection tests: a personality test and a cognitive ability test. The tests are a tool to find the candidate with the highest potential for the role and to promote equality, diversity, and a fair recruitment process.