Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Designs and builds GenAI/LLM-powered business solutions for Accenture clients as part of the Poland-based AI&Data team — creating RAG/GraphRAG pipelines and integrating LLM apps with cloud AI services like Snowflake Cortex and AWS Bedrock, mostly in Python, with hybrid work based in Warsaw.
Frontend engineer at Accenture's AI&Data team in Warsaw building the user-facing layer of GenAI and agentic AI products for enterprise clients — streaming chat interfaces, agent dashboards, and analytics views. Core stack is React and TypeScript, integrating LLM services, REST APIs, and streaming endpoints.
Designs and delivers production-ready GenAI and agentic AI solutions for enterprise clients at Accenture Kraków, owning features end-to-end from prototype to deployment on AWS, Azure, or GCP using Python, LLM APIs, and open-source models, with a focus on reducing hallucinations and optimizing AI outputs.
Mid-level GenAI Engineer at Accenture in Kraków who independently designs, builds, and ships production generative-AI and multi-agent solutions for enterprise clients — developing RAG pipelines and agentic workflows in Python with LLM APIs, and deploying them end-to-end to AWS, Azure, or GCP.
Accenture in Warsaw is hiring a GenAI engineer to design and develop GenAI-powered solutions across business processes, collaborating with stakeholders, architects and engineers. Day-to-day work centers on Python, data platforms like Snowflake, cloud services (AWS/Azure/GCP), RAG pipelines, and prompt engineering.
Consultant at Accenture's AI Centre of Excellence in Poland building end-to-end ETL/ELT data pipelines and Bronze/Silver/Gold data models using Databricks and Microsoft Fabric, with Python, SQL and Spark, for client engagements across Europe. Junior to senior level, mostly remote with on-site travel.
Data Engineer in Accenture's AI&Data practice (Warsaw) designing, building, and maintaining scalable data pipelines and modern data platforms (warehouses, lakes, lakehouse) for analytics and AI use cases, working mainly with Snowflake, SQL, Python, and a cloud platform (AWS/Azure/GCP), plus CI/CD and IaC practices.
Data engineer at Accenture Polska who designs, builds, and maintains scalable data pipelines and processing frameworks for analytics and AI use cases. Day-to-day work centers on Snowflake and cloud platforms, optimizing ingestion, transformation, and orchestration.
Senior data engineer at Accenture in Warsaw who designs and implements ETL/data integration solutions and analytical data models using Python, SQL, Data Vault 2.0, and Google Cloud Platform. It is a hybrid, mostly remote role with stakeholder collaboration and travel to client sites across Europe.
Senior Data Engineer at Accenture (Warsaw) designing and building ETL pipelines, data integration, and data models (dimensional/relational/Data Vault) on Google Cloud Platform using SQL, dbt, and Python. Mostly remote work with on-site client engagements across Europe.
ML Ops Engineer joining Accenture's new AI Centre of Excellence in Warsaw, designing and delivering scalable AI/ML solutions on cloud platforms. Day to day involves MLOps/DevOps work in agile, global teams, with opportunities for international travel across Europe.
Data & AI Engineer at Accenture's AI Centre of Excellence in Poland, building scalable data solutions and end-to-end data pipelines with Databricks and Microsoft Fabric. Day-to-day work centers on Python, SQL, and Spark to deliver data models and insights for global clients, with some travel across Europe.
Data Engineer in Accenture's Poland-based AI&Data team, building and operating ELT/ETL pipelines, Airflow orchestration, and data models in Snowflake and Databricks for client data platforms, while using AI coding tools like Copilot and Cursor to speed up development. Mostly remote with some onsite time in Warsaw.
AI Data Engineer at Accenture Poland's AI Centre of Excellence, building scalable cloud data pipelines and AI solutions alongside data scientists and engineers. Day-to-day work centers on SQL, ETL implementation, and data modeling with modern RDBMS and Data Vault techniques in an agile, hybrid setup.
Data engineers at Accenture's AI Centre of Excellence in Poland design and implement scalable data pipelines and ETL/data integration solutions using SQL, enterprise ETL tools, cloud platforms, and AI technologies, working in agile consulting teams serving clients across Europe at junior, mid, or senior levels.
Accenture is hiring a data engineer in Warsaw to design, build, and operate scalable ELT/ETL pipelines from APIs, databases, and event streams. Day to day the role develops Airflow workflows with monitoring and retries, models data in Snowflake and Databricks for analytics, reporting, and AI applications, and collaborates with analytics engineers and data scientists while leveraging AI coding tool
Data engineer in Accenture's Databricks Community of Practice in Warsaw, building end-to-end ETL/ELT pipelines, Lakehouse/Medallion data models and transformations with Databricks, PySpark, Spark SQL and Delta Lake for enterprise clients. Hybrid work with required travel to client sites across Europe.
Accenture is hiring a Data Engineer in Warsaw to design and build scalable Databricks data pipelines using Delta Lake and the Lakehouse pattern, modeling data and implementing ETL/ELT with data scientists. Core stack: Spark, PySpark, SQL, and cloud platforms (GCP/AWS/Azure); hybrid work with travel across Europe.
We couldn't check your fit for this role — add a CV to your profile to see it next time.