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Senior Full Stack Data & Analytics Developer – Azure Synapse / Microsoft Fabric / Power BI
Build end-to-end reporting solutions for Dynamics 365 using Azure Synapse, Microsoft Fabric, and Power BI, focusing on HR, finance, logistics, and project management dashboards.
DevOps Engineer Plataforma de Datos (Madrid) - HIBRIDO (Madrid)
DevOps Engineer maintaining and optimizing a cloud-based data platform for a fintech client, using Kubernetes, Dremio, CI/CD, and observability tools.
Senior Backend Spark Developer
Senior backend engineer building and optimizing large-scale data pipelines with Apache Spark and Scala/Python to power financial IT systems and cross-country operations.
Senior Backend Spark Developer (Remote from Spain)
Build and optimize high-performance Big Data pipelines using Apache Spark (Scala/Python) on Azure Databricks, ensuring scalable data processing for enterprise clients.
Data Engineer - Lima
Designs and maintains data pipelines, ETL processes, and data warehouses to support analytics and business intelligence using SQL, Python, and cloud platforms.
Data Engineer: Build Scalable Pipelines & Warehouses
Designs and maintains scalable data pipelines and warehouses using SQL, Hadoop, and Spark to support analytics and decision-making.
Data Engineer
Build and maintain cloud-based data pipelines and warehouses for clients in retail, finance, and healthcare, using Azure/GCP/AWS and modern data modeling techniques.
Senior Data Engineering Consultant (German-speaking)
Senior Data Engineering Consultant designs, builds, and operationalizes scalable data pipelines, ML/LLM integrations, and DataOps/MLOps platforms to move clients' AI projects from prototype to production.
(Sr) Data Engineer Retail Media, Measure & Forecast
Builds scalable data pipelines and lakehouse systems to turn noisy edge sensor data into reliable measurement and forecasting for in-store Retail Media, using Spark, Kafka, Trino, and privacy-preserving architectures.
Senior Data Engineer
Designs and maintains data pipelines to transform raw data into insights using Python/Java/Scala, SQL/NoSQL, and ETL tools.
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 / Machine Learning Engineer
Build and deploy ML models (process mining, churn, fraud, NLP) in Python and SQL, collaborating with clients to turn business problems into data-driven solutions.
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 Test Automation Engineer (Data Team)
Build and maintain automated test suites for data-heavy applications using Python, Robot Framework, and CI/CD pipelines in Hadoop, Snowflake, and cloud environments.
Software Engineer - Data Scientist
Build and evaluate data-driven solutions for smart buildings and climate tech using Python, Azure ML, and SQL; track impact with attribution methods.
Big Data Engineer (Spark/Scala) Spark, Scala, Python, Hadoop, SQL, AWS Warsaw, Łódź, Gdańsk, Gdynia
Build and maintain distributed big-data pipelines using Spark, Scala, Python, and AWS to process large datasets in near real-time for analytics and visualization.
Big Data Engineer (Spark/Scala) Spark, Scala, Python, Hadoop, SQL, AWS Warsaw, Łódź, Gdańsk, Gdynia
Builds and maintains distributed Spark/Scala pipelines on AWS to process large datasets in near real-time, enabling analytics and visualization for clients.
Programista / Data Engineer (BI) (k/m) Lokalizacja: Aleje Stanów Zjednoczonych 61
Build high-performance data pipelines and backend services for a major Polish media platform, using Python, Java, and big-data tools like Kafka, Spark, and Flink to process and analyze real-time data streams.