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Data engineering internship at Singapore's national healthtech agency where you'll design and develop data pipelines, contribute to proof-of-concept analytics/AI projects, and help identify capability gaps in cloud and analytics products for the healthcare sector. Technologies include Python/Java, databases, and ETL tools.
Data Engineer III building and maintaining cloud-based data pipelines, lakehouse architectures, and analytics solutions on AWS (S3, Glue, EKS, Lambda) using Python and Spark for JPMorgan's International Consumer Bank.
Data Engineer building modern data platforms, pipelines, ETL/ELT processes, data modeling, and warehouses in AWS/Azure/GCP cloud environments within a consulting firm, collaborating closely with developers and customers.
Data Engineer at an IT consultancy building modern data platforms, ETL/ELT pipelines, and data warehouses on cloud (AWS/Azure/GCP) using SQL and Python for various client projects.
Data Engineer building cloud pipelines, data warehouses, and data platforms using open-source technologies for various client projects at an IT consulting firm.
BI/Data Engineer building and maintaining SQL databases, Power BI reports, semantic models, and automated ETL pipelines to support governance, finance, and clinical needs with a focus on GDPR compliance.
Data Engineer at a media agency building and optimising ETL data pipelines in Azure/Adverity, writing SQL for bespoke client reporting, and supporting marketing intelligence delivery for entrepreneurial brands.
The Data Engineer will own and evolve ETL pipelines and build reporting outputs to support marketing campaign activation. The role requires proficiency in Python, SQL, and cloud platforms like Azure, GCP, or AWS.
Principal Data Engineer leading the Azure lakehouse data platform (Fabric, Databricks, Data Lake) for Scottish Water—setting technical standards, reviewing PRs, designing scalable data pipelines, and collaborating across analytics, data science, and architecture teams.
Principal Azure Data Engineer leading cloud data platform engineering at Scottish Water, designing data pipelines and lakehouse architectures on Azure while collaborating with data scientists and platform teams.
Senior Azure Data Engineer designing and maintaining data integration solutions, ETL pipelines, and cloud-native integrations using Azure Data Factory, Synapse, Logic Apps, and Function Apps for an automotive research organisation.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Be part of a dynamic team where your distinctive skills will contribute to a winning culture and…
Data Engineer designing, building, and maintaining scalable data pipelines and infrastructure using Databricks, SQL, and Python at Mercer's Oliver Wyman hub in Lisbon.
Own the Snowflake data platform end-to-end—data models, dbt pipelines, and Power BI reports—while enabling self-service analytics and building AI-assisted reporting apps in Copenhagen.
Design, develop, and scale backend services, APIs, databases, and cloud-native solutions (Azure, Docker, Kubernetes, Python, Databricks, LLMs/RAG) to support engineering and renewable-energy activities at RWE Offshore Wind.
Design, build, and scale backend applications, databases, and cloud-based solutions for offshore wind engineering operations using Python, REST APIs, and Databricks to enable AI-driven automation and analytics.
Design and develop backend services, databases, and cloud-based solutions for RWE Offshore Wind, driving platform integration, data governance, and AI-powered automation using Python, REST APIs, Azure, and Docker/Kubernetes.
Design, build, and scale backend services, APIs, databases, and cloud-native solutions for RWE Offshore Wind's engineering department, driving data governance and AI-enabled automation using Python, Azure, Docker, Kubernetes, and Databricks.
Senior Data Engineer building a data platform for maritime operations, designing data models, resilient pipelines, and high-performance APIs using Python, SQL, AWS, and Snowflake.
Build and scale backend services, databases, APIs, and cloud-native solutions for RWE Offshore Wind's engineering division using Python, Azure, Docker, Kubernetes, and Databricks with AI/LLM integrations.
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