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Leads design and delivery of cloud-based data and AI platforms, combining architecture expertise with hands-on data engineering to build lakehouse, warehouse, and streaming solutions across AWS, Azure, and GCP.
Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of…
Data die het verschil maakt Data is pas waardevol als een organisatie erop kan bouwen. Als Senior Data Engineer bij LINKIT zorg jij daarvoor: je ontwerpt platformen die schaalbaar, betrouwbaar en toekomstbestendig…
Silicon Quantum Computing (SQC) is at the forefront of global efforts to build the world’s first commercial-scale quantum computer, while delivering quantum-enhanced AI and simulation products to customers today.…
Senior Data Solution Architect at EPAM Systems designing cloud-based big data analytics solutions, leading cross-functional teams, and driving AI/ML adoption using Spark, Hadoop, Hive, and major cloud platforms.
Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our…
The Senior Snowflake Data Engineer will design and maintain scalable data pipelines and applications using Snowflake, AWS/Azure, Python, Airflow, and DBT. The role involves integrating Snowflake Cortex AI for advanced analytics and collaborating with data scientists to productionize machine learning models.
We are looking for a detail-oriented and motivated Senior Systems Engineer with a strong focus on Data DevOps/MLOps to join our team. The ideal candidate should possess a deep understanding of data engineering,…
We are looking for a dedicated and proficient Senior Systems Engineer with extensive Data DevOps/MLOps knowledge to enhance our team. The ideal candidate should possess a comprehensive knowledge of data engineering,…
We are seeking an experienced Lead Snowflake Data Engineer to join our data engineering team. The ideal candidate will be responsible for designing, developing and maintaining scalable data solutions using…
The MLOps Engineer will design and implement automated pipelines for model deployment, monitoring, and retraining within Data Science projects. The role requires expertise in cloud-based ML platforms, CI/CD/CT practices, and container orchestration using tools like Kubernetes, AWS SageMaker, and Kubeflow.
Lead a team to design and build P&G’s global Consumer Data Platform on Google Cloud, including pipelines, warehousing, governance, and dashboards to unlock consumer insights while protecting privacy.
The Data Engineer will design and maintain data-driven solutions for Sportsbet Australia, focusing on building high-quality code, optimizing cloud-based data platforms, and automating operational processes. The role requires strong Python skills and experience with AWS and data streaming architectures.
The Data Engineer will design, develop, and maintain scalable data pipelines to support Financial Crime Risk and Corporate Tech platforms. The role involves working with AWS cloud services, Python, and SQL to ensure high-quality data ingestion and operational stability.
About the Role We are hiring two Full-Stack Developers, Data Applications, who will develop the backend data pipelines and self-service application layer. The developers will work across the same surface: Python…
Lead a team to design and build scalable data infrastructure and pipelines, transforming raw data into insights for PwC’s global clients using tools like Hadoop, Airflow, and cloud platforms.
The Data Engineer will design and build scalable data infrastructure, pipelines, and transformation solutions to support client analytics. The role involves using tools like Apache Airflow, Azure Data Factory, Snowflake, and Databricks to manage data workflows and ensure data quality.
The AI Engineer will build and scale the infrastructure and operations platform for AI products, focusing on MLOps, automation, and observability. The role involves managing ML and LLM pipelines in AWS and Azure environments while collaborating with cross-functional data teams.
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