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Senior Python Engineer, Geospatial Data Platform (Fully Remote)
Build and operate geospatial analytics backend services in Python, integrating Neo4j and Databricks to process maritime data and deliver production-grade APIs and microservices.
Senior Data Scientist / ML Engineer @ Addepto
Build and deploy ML models and AI solutions for global clients, from LLMs to optimization engines, using Python, cloud platforms, and MLOps practices.
Lead Data Scientist / ML Engineer @ Addepto
Lead the design and deployment of AI/ML systems for global clients, including optimization engines and LLM-powered recommendation systems using Python, AWS, and MLOps practices.
Data Scientist / ML Engineer @ Addepto
Build and deploy ML models and AI systems for enterprise clients, focusing on LLMs, NLP, and computer vision to solve industrial, automotive, and software-engineering challenges.
Senior Software Engineer, Data Platform Insights
Build and maintain Bolt’s data platform, enabling teams to create reliable, self-service data products using Python, dbt, Databricks, Airflow, and Kubernetes at petabyte scale.
Junior Machine Learning Engineer (Data Platform)
Build and maintain Allegro’s ML/AI platform, including MLOps pipelines, agentic workflows, and model-serving microservices using Python, PyTorch, Kubernetes, and GCP.
Data and MLOps Engineer
Build and maintain scalable data pipelines and MLOps infrastructure for industrial AI solutions in mining, energy, and infrastructure sectors, deploying models in cloud/edge environments.
Data and MLOps Engineer
Build and maintain scalable data pipelines and MLOps workflows for industrial AI solutions in mining, energy, and infrastructure, deploying models in cloud/edge environments.
Data Engineer (Junior / Mid) @ Respect Energy Fuels Sp zo.o.
Build and maintain ETL/ELT pipelines that feed a data warehouse and internal apps for an energy-trading company, using SQL, Python, Airflow, and APIs.
Senior Data Engineer (Databricks) @ CLOUDFIDE SP. Z.O.O
Build and scale cloud data platforms for global clients using Azure, Databricks, Spark, and CI/CD pipelines, designing ETL/ELT architectures and data models.
Senior AI Data Engineer (AI/Data Platform, Cloud Technologies, Python)
Design and build scalable cloud-native AI data platforms and pipelines using Python, Spark, and Kafka to power machine learning and GenAI initiatives for enterprise clients.
Senior Data Engineer - Full remote (F/M)
Senior Data Engineer builds and maintains Snowflake-based ETL/ELT pipelines, data models, and REST APIs to consolidate finance data for forecasting and reporting in a regulated biotech environment.
Data Engineer (Senior) @ Alterdata.io sp. z o.o.
Senior Data Engineer designs and builds cloud-based data pipelines, warehouses, and ETL/ELT workflows using GCP, Azure, Snowflake, and dbt to support BI and AI systems.
Data Engineer z GCP (f/m/x)
Build and maintain scalable GCP-based data pipelines, optimize BigQuery warehouses, and orchestrate workflows with Airflow/Terraform for analytics teams.
Senior Data Engineer (M/F/D)
Design and build scalable Lakehouse architectures (Bronze/Silver/Gold) using Databricks and Delta Lake to transform logistics data into BI insights, optimizing ETL/ELT pipelines with PySpark and Azure/AWS/GCP services.
Senior Data Engineer (m/f)
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing full-stack web apps with React/Angular and DevOps tooling.
Data Engineer Technical Leader (Relocation to Poland)
Lead a team to design and build scalable data pipelines and platforms using Spark/Scala, Airflow, and cloud tools, while mentoring engineers and ensuring regulatory compliance.
Tech Lead - Data Engineering @ VIRTUSA
Lead a data engineering team to design and build scalable Snowflake-based data platforms and ETL/ELT pipelines using dbt and AWS for a pharma client.
Data Engineer (m/f)
Builds data pipelines, ETL/ELT processes, and full-stack web apps in Python/SQL with React or Angular; maintains time-series databases and Databricks/Spark clusters; sets up real-time monitoring and dashboards.
Data Engineer (Cloud & Infrastructure)
Designs and maintains cloud infrastructure and data pipelines using AWS, Terraform, and Python to support scalable data workflows.