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Data Engineer building and optimizing Big Data pipelines and ETL/ELT processes using PySpark, AWS, Kafka, Spark Streaming, SQL, and table formats like Iceberg/Delta Lake.
The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services. The role requires proficiency in SQL and Airflow to support data analytics tasks in a professional environment.
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. Descubra si esta oportunidad es adecuada para usted leyendo toda la información que sigue a…
Build and maintain Python-based backend services using Django and FastAPI, integrate LLMs and GenAI, and deploy on cloud and Kubernetes for scalable data platforms.
The Junior Data Engineer will develop and maintain modern data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure Data Factory. The role involves integrating data from multiple sources, optimizing data transformations, and supporting SQL Server-based data warehouse environments.
Vårt team skapar datadrivna effektiva verksamheter - Visst vill du vara med? Vill du arbeta med att bygga dataplattformar och dataflöden i uppdrag som spänner över viktiga samhällsfunktioner, och samtidigt utvecklas i…
Is there a Zenika in you Let's talk skills and passion first. You're a data enthusiast who thrives on transforming complexity into clarity. With deep technical expertise in AWS and Databricks, you design…
Microsoft Fabric Data Engineer SQL, Python, PySpark Microsoft Fabric pipelines, Lakehouses, Warehouses and semantic models Microsoft Fabric Data Engineer – Contract (Hybrid 2-3 days/wk) Greater Manchester Our Financial…
Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data…
Data Engineer (AWS) - Manchester (Data Engineer, Senior Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse,…
Data Engineer - Manchester (Hybrid) - Microsoft Fabric - Databricks - PySpark - Up to £55,000 We're partnering with a highly successful, private equity-backed organisation that is investing heavily in its data and…
Lead Data Engineer Location: London - 4-day working week (Fridays off) Salary: £85,000-£90,000 THE COMPANY This fast-growing AI SaaS company helps organisations unlock the value of their first-party data through an…
Build AI, ML, and simulation tools for U.S. defense customers using Python, Docker, and cloud platforms.
Product Owner leading a Claims Data Science agile squad at Allianz, delivering machine learning and data products to improve claims processes and customer outcomes using agile methodologies, analytics, and AI/ML.
The Data Engineer will work on long-term projects for insurance and pharmaceutical clients, focusing on data integration, processing, migration, and ETL development using Informatica and Azure technologies. The role involves both technical implementation and direct collaboration with business stakeholders to gather requirements.
Design and build scalable cloud data pipelines on AWS with Databricks, using Python, PySpark, and Delta Live Tables to process high-volume logistics and e-commerce data.
The Data Engineer will build, maintain, and optimize scalable data pipelines and analytical platforms using Python, Databricks, and PySpark within Azure cloud environments. The role involves collaborating with cross-functional teams to deliver data products and implementing MLOps and CI/CD practices.
Lead the design and build of internal data-platform tools, Airflow-based pipelines, and AI-driven developer workflows using Python, GCP, and modern DevOps practices.
Analytics Engineer transforming enterprise data into trusted, analytics-ready datasets using Azure Databricks, Python, and PySpark to support reporting, BI, and AI initiatives at a law firm.
Builds and maintains scalable data pipelines, semantic layers, and BI models to enable business intelligence, advanced analytics, and AI for a logistics airline subsidiary.
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