Paradox Interactive is a premier developer and publisher of strategy and simulation games. Our portfolio includes fan-favorite titles such as Crusader Kings, Europa Universalis, and Stellaris. We are dedicated to creating deep, immersive experiences for our players and are looking for a Mid-Level Data Engineer with AI expertise to help build and scale internal AI-driven solutions.
As a Mid-Level Data Engineer (AI) at Paradox Interactive, you will play a key role in developing, maintaining, and scaling AI-powered internal tools used across QA, Analytics, and Engineering. You will work at the intersection of data engineering and applied AI, building systems that automate workflows, enable natural language interactions with data, and improve internal productivity.
You will take ownership of production-grade AI systems, ensuring they are reliable, scalable, and continuously evolving based on user needs.
Build and maintain AI-driven applications, including agentic systems and LLM-based tools.
Develop and manage tool-calling frameworks using structured inputs/outputs and runtime guardrails.
Design and implement internal user-facing AI solutions (e.g. Slack-based agents, analytics assistants).
Develop and maintain scalable data pipelines and ingestion processes.
Ensure reliable data flow between sources (e.g. Snowflake, APIs, external platforms) and AI systems.
Optimize data models and query performance for AI applications.
Own solutions end-to-end, including APIs, services, and integrations.
Implement and maintain service contracts, tool registries, and agent behavior logic.
Ensure production stability, monitoring, and continuous improvement of deployed systems.
Work closely with QA, Analytics, Engineering, and Product teams to identify and deliver impactful solutions.
Translate technical solutions into clear value for non-technical stakeholders.
Gather feedback and iterate on tools to improve usability and impact.
Bachelor’s degree (or equivalent) in Computer Science, Data Engineering, Data Science, or a related field.
3–5 years of experience in data engineering, backend development, or applied AI roles.
Programming & Systems:
Strong experience in Python, focusing on application development and APIs, with experience in frameworks such as FastAPI, Streamlit, or similar.
Data & Databases:
Strong SQL skills, preferably with Snowflake.
Experience building and maintaining data pipelines, ingestion workflows and data modeling.
AI & LLM Systems:
Experience working with LLM-based systems, including tool-calling frameworks and structured I/O.
Familiarity with building agentic applications or similar AI-driven internal tools.
Architecture & Ownership:
Experience owning systems end-to-end, including integrations, APIs, and service design.
Ownership:
Comfortable taking responsibility for production systems and driving them forward.
Communication:
Strong ability to explain technical concepts to non-technical stakeholders.
Problem Solving:
Structured and pragmatic approach to building scalable solutions.
Collaboration:
Ability to work effectively across teams and disciplines.
Experience with Docker, Terraform, dbt, or Airflow
Experience with Snowflake Cortex or similar AI capabilities in data platforms
Experience building Slack applications (e.g. slack-bolt) and event-driven systems
Familiarity with monitoring, logging, and production system observability
Opportunity to work with cutting-edge AI technologies applied to real business problems
A central role in shaping Paradox’s internal AI capabilities
Collaboration with a highly skilled and cross-functional team
Access to modern data and AI tooling
Professional development and growth opportunities
A chance to contribute to tools that impact teams across the company
We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Job Title: Mid-Level Data Engineer (AI)
Location: Stockholm, Sweden - Central Tech & Services
Department: Data & Analytics
Type: Full-Time, on-site
Reports To: Head of Data & Analytics
Paradox Interactive is a leading, global publisher of deep, replayable games.
We create intellectually challenging games, with long lifespans and a vibrant player communities. Our heart and soul lies in strategy and management games but we occasionally make calculated bets in other genres where we believe there is break-out potential.
Our steadily-growing portfolio includes titles from established series like Crusader Kings, Cities: Skylines, Europa Universalis, Stellaris and Hearts of Iron. Millions of people from all over the world play our games every month, and participate in their continuous development through their purchases and insights they share with us.
Paradox offices are located in Sweden, France, Netherlands, Finland, and each houses creative staff, skilled in a wide variety of areas of expertise. No matter the specialization, each of us contributes to giving our players the best game experiences and value for their money and time.
Everyone at Paradox is expected to know our players, why they love our games and have an awareness of how their work impacts them in the end. We foster highly-engaged communities, where we encourage our fans to share their sentiment, and empower our colleagues to turn that feedback into action that benefits both our business and fans.
If that sounds good, and you share our vision, we’d love you to join us. Check out our career page: https://career.paradoxplaza.com/#jobs
