Analytics Engineer

Must have: Cloud, Kafka, Kubernetes, Pandas, Polars, PostgreSQL, Pulumi, Python, Spark, SQL, Terraform Employment type: B2B Operating mode: Hybrid, Remote Location: Poland About deepsense.ai At deepsense.ai, we won’t just build AI solutions – we’ll shape how companies around the world use them. By joining us, you’ll: Work with partners like OpenAI, NVIDIA, Anyscale, LangChain, Crusoe, and ElevenLabs. 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 GitHub. And the best part of working at deepsense.ai? 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. What we believe in? Team Strength – sharing and exchanging knowledge is key to our daily work Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality Balance – we value work-life balance Commitment – we want you to be fully part of the team Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities Responsibilities Designing, developing, and maintaining data pipelines (ETL/ ELTs). Working with a variety of data sources (such as: streaming data, batch-data, data from production systems, data from ML models, time-series data). Ensuring the stability and performance of data pipelines, including monitoring and troubleshooting. Collaborating with Data Scientists, Software Engineers, and other specialists to implement data-driven solutions. Analyzing new potential data sources and integrating them into existing pipelines. Assisting DevOps/MLops in configuring system infrastructure in “Infrastructure as a Code” manner (including deployment of your code solution). Creating meaningful insights and visualizations from the processed data Gathering requirements, planning your own work, and prioritizing. You must have Interest in the AI/ML area. Good understanding of Python and SQL. Experience with data-wrangling libraries such as Pandas or Polars. Good understanding of statistics and data analysis. Experience with any of the major SQL databases (PostgreSQL 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 DevOps (Terraform/CloudFormation/Pulumi). Ability to work both in a team and independently, and a proactive approach to problem-solving. You may have Experience with Hierarchical/Graph Datasets Experience with Google BigQuery, 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. Experience with CI/CD pipelines such as Jenkins. We offer 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. We Offer Impactful AI projects 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 GitHub), adopted and appreciated by the ML community. Growth & Knowledge Sharing 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. Flexibility & Culture 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. Get high-end equipment (laptops, dual monitors, pro peripherals). Access a premium AI development suite: OpenAI ChatGPT, Claude, Gemini Advanced, GitHub Copilot, Cursor AI IDE, Claude Code, NotebookLM, plus the latest emerging AI tools to support your daily work.