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Build and maintain high-scale backend and data-layer services that power Pindrop’s identity trust platform, focusing on reliability, latency, and cost efficiency for real-time fraud and deepfake detection.
Build and maintain BI dashboards and reports using SQL and tools like Qlik or Tableau to analyze commercial data and drive decisions for a global sports media company.
Build and own backend services for a real-time commodity trading platform, then ensure they’re observable, resilient, and cost-efficient in production using AWS, Kubernetes, Kafka, and Datadog.
Spirii develops world-class charging products and digital solutions for electric vehicles. Our Digital Development department fosters a listen, learn, and lead culture — allowing us to continuously improve how we work.…
Build and maintain ELT/ETL pipelines to move data into Snowflake, write dbt models, and set up data-quality checks for a US-based AI mortgage platform.
Build and maintain scalable data pipelines and warehouses to power real-time analytics for global ecommerce brands, using tools like Snowflake, Kafka, Spark, and Airflow.
Build and maintain classical ML models (clustering, unsupervised learning) in Python/SQL, taking models from prototype to production in a collaborative engineering environment.
Build and scale AWS-based data platforms and AI-driven data products using Python, PySpark, and Scala to power CommBank’s Business Banking analytics and decision-making.
Build and operate Movable Ink’s data ingestion pipelines and backend services, migrating legacy systems to modern cloud architectures while ensuring reliability, governance, and high availability for analytics and AI workloads.
Build and maintain Movable Ink’s data ingestion pipelines and backend services, migrating legacy systems to modern architectures while ensuring reliability and governance for marketing personalization products.
Design and build scalable AWS Data Lake and Lakehouse solutions using Glue, Lambda, Step Functions, and Kinesis to process large-scale cloud data pipelines.
Design and build scalable AWS data platforms, including data lakes and ETL/ELT pipelines using AWS Glue, Redshift, and Kinesis for batch and streaming workloads.
Build and maintain scalable data pipelines and Python services in Snowflake using dbt, Airflow, and AWS tools to deliver reliable, analytics-ready data products for a healthcare-focused data platform.
Leads software engineering for BBC Media Tech’s platforms, designing and scaling systems that power media workflows and services.
Senior Data Science Engineer or Senior Machine Learning Engineer at PayPay builds and deploys ML models for fraud detection, recommendations, and insights, using Python, SQL, and cloud tools in a hybrid Tokyo office.
This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise…
Lead a team building scalable data pipelines and warehouses on AWS, enabling self-service analytics with Python, SQL, and tools like Redshift and Airflow.
About the role This is a hands-on, senior individual-contributor role with a strong passion on building a possible vendor neutral lakehouse. You will own data pipelines end to end and build out the governance and…
Build and maintain scalable data platforms and pipelines using Snowflake, DBT Cloud, and Python/SQL to power AI/ML products and analytics for a global building-materials company.
Build and maintain scalable data pipelines and warehouses for AI-driven products, using Python, SQL, and cloud platforms like AWS/GCP.
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