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Design and build data integration, ETL/ELT pipelines, data lake/warehouse/lakehouse solutions, and data migration systems while ensuring data quality, governance, and compliance in a hybrid London role.
Roles & Responsibilities About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real…
Klaar om als Senior Data Engineer/Platform Engineer impact te maken bij toonaangevende organisaties? Bij Team EIFFEL werk je projectmatig aan uitdagende datavraagstukken, van corporates tot overheid. Je bouwt aan…
Data Engineer building and maintaining batch/streaming data pipelines, Delta Lake warehouse layers, and data quality systems using Python, PySpark, SQL, and Databricks for an international development NGO in Uganda.
The Data Engineer will support the organisation's data and analytics modernisation program by designing and maintaining scalable data pipelines, Lakehouse, and Warehouse solutions using Microsoft Fabric. The role involves integrating complex clinical and operational data sources to enable trusted insights and reporting.
We are seeking a full-time, remote Data Engineer III position. This role supports the continued proliferation of data-driven decision-making throughout Paradigm by designing, building, and maintaining robust data…
Job Summary Design, develop, and maintain scalable data infrastructure and pipelines to support data-driven products. Collaborate cross-functionally to ensure data accuracy, integration, and compliance in a cloud-based…
Build and operate a new enterprise Data Platform on Microsoft Fabric and Azure, designing data integration pipelines, Lakehouse architectures, and analytics-ready data assets for a UK building society.
The Senior Cloud Data Engineer will design, build, and maintain GCP infrastructure and data pipelines to support analytics and modernize legacy workloads. The role involves using tools like Terraform, BigQuery, and dbt to deliver secure and scalable data solutions.
Data Engineer designing and maintaining ETL/ELT pipelines and cloud data infrastructure for VA healthcare analytics, working with SQL, Spark SQL, and Azure Databricks in a federal contracting environment.
Scientific Data Engineer maintaining and enhancing Azure-based data pipelines, ETL/ELT solutions, and platforms for Queensland Government environmental monitoring and water quality reporting.
The Data Platform Lead will architect and build a unified, greenfield data platform on AWS to integrate agricultural machinery and field data. This role involves hands-on engineering, team leadership, and managing transactional geospatial timeseries data to support scaling operations in New Zealand and Australia.
Design and build data warehouses, BI reports, and AI-ready semantic layers using Microsoft Fabric/Power BI, then evolve into architecting governed data foundations for trustworthy AI agents.
Design and modernize legacy ETL pipelines using Databricks Spark on AWS, replacing IBM DataStage jobs and ensuring scalable, governed data solutions.
Builds and maintains automated data pipelines and SQL/PostgreSQL warehouses for mining, infrastructure, and energy clients, focusing on performance, quality, and reducing manual reporting.
Builds and automates data pipelines using Snowflake, Airflow, dbt, Azure, and Python to integrate diverse data sources and ensure reliable data for business decision-making.
Enfint is seeking an experienced Data/AI Engineer to design graph schemas, build semantic indexing systems, and orchestrate AWS-based data infrastructure for enterprise-scale AI systems. ¿Tiene las siguientes…
rindus invites you to join a cutting-edge data engineering initiative with an AI-first approach, building scalable data pipelines for a major fashion retailer partner. Descubra exactamente qué habilidades, experiencia…
Designs and maintains Snowflake-based ELT pipelines to enable scalable data analytics and decision-making, collaborating with data governance and business teams to improve data quality and reliability.
Designs and maintains ETL/ELT pipelines and data models using dbt, collaborating with teams to deliver high-quality data solutions with Power BI visualization support.
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