Data Engineer

, you won’t just build AI solutions – you’ll shape how companies around the world use them.

• Work with partners like OpenAI, NVIDIA, Anyscale, Lang Chain, Crusoe, and Eleven Labs.
• Explore and apply the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics.
• Tackle challenges in software & tech, pharma & healthcare, manufacturing, retail, telecoms & media.
• Contribute to open-source projects – just take a look at our latest solution,
  ragbits
  , an agentic RAG framework with over 1.6k stars on Git Hub.

• Spread your wings with clear career paths, technical or leadership.
• Collaborate with 100+ AI experts with 15+ years of applied AI experience, as well as PhD-level researchers with academic backgrounds.
• Tap into domain expertise and knowledge sharing whenever you need it.

• Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities.

• Collaborating with Data Scientists, Software Engineers, and other specialists to implement data-driven solutions.
• Analyzing new potential data sources and integrating them to existing pipelines.
• Assist Dev Ops/MLops in configuring system infrastructure in “Infrastructure as Code” manner (including deployment of your code solution).
• Assist ML engineers in deploying ML models to production environments.

• Interest in the AI/ML area.
• Good knowledge of Python and SQL.
• Experience with any of the major SQL databases (Postgre
  
  SQL preferred).
• Experience with cloud computing platforms (Azure/GCP/AWS).
• Experience with containerization technologies (Docker/Kubernetes).
• Experience with ETL and Big Data elements (Spark, Kafka, etc.).
• Basic experience in Dev Ops (Terraform/Cloud Formation/Pulumi).
• Ability to work in a team and proactive approach to problem-solving.
• Experience with data-wrangling libraries such as Pandas or Polars.

• Experience with Google Big Query, Redshift/Glue/S3/Lambda/Athena.
• Familiarity with Snowflake, Databricks.
• Any experience with data integration or orchestration platforms, such as Airbyte, Fivetran, Airflow, Dagster, etc.
• Experience with machine learning.

• Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
• Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
• An opportunity to participate in conferences and workshops around the world.
• An opportunity to participate in Tech Talks (internal training and seminar sessions).
• Flexible working hours and remote work options.

• Tackle industry-grade challenges: from LLMs for drug discovery to GenAI on edge devices, AI voicebots, and open-source initiatives with global reach.
• Collaborate directly with our partners for early access to tools before public release, testing in production, and bringing know‑how from AI leaders into our projects.
• Contribute to open-source initiatives like ragbits (1.6k+ stars on Git Hub), adopted and appreciated by the ML community.

• Join AI specialists who share expertise through Tech Talks, workshops, and internal trainings.
• Present your work at conferences, run experiments, and stay ahead of the curve.
• Choose your own career path and get support for your development.

• Work fully remote, from one of our two offices (Warsaw, Bydgoszcz), or from coworking spaces in Poznań, Łódź, Wrocław, and Gdańsk.
• Enjoy flexible working hours.
• Benefit from a culture that prevents burnout and supports balance in daily work.
• Start with onboarding – from day one you are matched with a buddy.
• Access a premium AI development suite:
  OpenAI ChatGPT, Claude, Gemini Advanced, Git Hub Copilot, Cursor AI IDE, Claude Code, Notebook
  
  LM, plus the latest emerging AI tools to support your daily work.
• Work in agile teams with fast decision‑making and space to try out your ideas.

• Get private medical care and a Multisport card.
• Use our company library, attend onsite English lessons, and benefit from a dedicated training budget.
• Join free team lunches and enjoy fresh fruit & snacks.
• Take part in team-building activities and holiday celebrations.