Analytics Engineer

Employment type:

B2B

Operating mode:

Hybrid, Remote

Location:

Poland

Atdeepsense.ai, we won’t just build AI solutions – we’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.

• 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

• 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 Dev Ops/MLops in configuring system infrastructure in “Infrastructure as 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.

• 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 (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 both in a team and independently, and a proactive approach to problem-solving.

• Experience with Hierarchical/Graph Datasets
• 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.
• Experience with CI/CD pipelines such as Jenkins.

• 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 voice bots, 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…