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Design and build scalable data pipelines using Spark and Scala for a data-innovation consultancy, collaborating with technical teams.
Senior Data Engineer consults for clients, building data pipelines and apps in Python/SQL, and applies generative-AI techniques (agentic architectures) to solve complex problems.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Designs and maintains robust data systems using Spark, Scala, and Python for a French IT services firm, with up to 2 remote days per week.
Senior SAP Data Engineer to lead on-prem migration and optimization of data pipelines, requiring deep SAP and SQL expertise.
Designs and maintains high-traffic web back-ends and data pipelines for a social software suite, working in an agile team.
Build and optimize GCP-based data pipelines in Python/SQL to feed AI models at a European healthcare unicorn.
Build and refine BI dashboards, consolidate data pipelines, and automate reporting on GCP/BigQuery to track furniture and construction waste recycling KPIs.
Senior Python & Data Engineer to design and build cloud ETL pipelines on GCP, industrialize data processing, and improve development practices.
Design and build large-scale BI and data analytics solutions using Azure Synapse, Data Factory, Databricks, and Power BI for enterprise clients in Malta.
Senior Data Engineer builds and optimizes large-scale data pipelines and cloud-based Big Data platforms for a major bank, using Spark, Scala, Python, and cloud tools like GCP/AWS/Azure.
Build and scale data pipelines to power analytics and improve user experience using AWS and SQL.
Design, build, and maintain complex ETL/ELT pipelines with Semarchy xDI, optimize SQL queries on Oracle/SQL Server/PostgreSQL, and ensure data quality and performance for enterprise systems.
Design and build scalable data pipelines and industrialize AI models for a fast-growing SaaS company, using SQL and Python.
Builds and optimizes data pipelines and BI dashboards using Alteryx, Power BI, SQL and DAX for enterprise clients.
Design and optimize Spark-based AI training pipelines using Scala, PySpark, and Spark SQL for scalable data processing and efficient joins.
Build and train AI foundation models for particle physics, processing large-scale experimental data and publishing results in a multidisciplinary team.
Senior SAP Data Engineer to migrate SAP data to AWS, build ETL pipelines, and rebuild Power BI reports while ensuring data quality and traceability.
Build and maintain data pipelines in Databricks and Python, ensuring quality, reliability, and performance for downstream analytics and reporting.
Lead backend and data engineering for a deterministic AI RAG platform, building scalable FastAPI services, Apache Beam pipelines, and optimizing Google Cloud Spanner with graph queries and Temporal workflows.
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