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Build interactive BI and ML dashboards, predictive models, and data pipelines to turn mobility and customer data into actionable insights for teams.
Designs and builds serverless data pipelines and APIs on AWS using Lambda, Step Functions, Glue, and DynamoDB with Python and SQL.
Lead a team building scalable data pipelines and a Customer Data Platform for marketing automation, personalization, and growth at a top Benelux classifieds marketplace.
Build and scale a new data warehouse and pipelines for a fast-growing fintech, using SQL, Python, AWS, and Terraform to enable analytics and real-time decision-making.
Build and maintain SendCloud’s data lakehouse and pipelines on AWS, enabling AI-driven decisions and agentic workflows for global shipping logistics.
Build and secure AWS cloud infrastructure, automate deployments with CI/CD, and manage containerized workloads for an AI-driven enterprise platform.
Build and maintain data pipelines in Python to ensure high-quality B2B lead data for a fast-growing marketing platform.
Totara is a global learning platform trusted by more than 1,500 organisations and 21 million users worldwide. We help organisations build workforce readiness through flexible learning, compliance, and talent…
Lead the design and build of scalable cloud data pipelines and big-data platforms using AWS serverless tools (Lambda, Glue, Athena, EMR/Spark) and Python/SQL.
Build and optimize data pipelines, ETL workflows, and cloud infrastructure (AWS) to feed analytics and data science teams, using Terraform and SQL.
Leads Big Data projects for a finance client, designing scalable pipelines and architectures using Cloudera/Databricks, Spark, Kafka, and Python/Java/Scala.
Designs, builds, and optimizes robust data pipelines (ETL/ELT) in Python/Java using Spark, Databricks, and AWS services to feed analytics, AI, and ML workloads.
Build and maintain scalable data pipelines and warehouses using Spark, Airflow, and AWS to power AI-driven fintech products for asset-based finance.
Design and build scalable cloud data pipelines on GCP and AWS, integrating batch and real-time streams for analytics and AI use cases.
Builds and maintains scalable big-data pipelines and storage layers using Spark, Kafka, and NoSQL databases to support analytics and ML workloads for an insurtech and IoT-focused company.
Build and maintain cloud data pipelines on GCP/AWS, integrate ML models and GenAI, and manage data warehouses/lakes for analytics and AI-driven solutions.
Build and maintain scalable ETL/ELT pipelines and data models in AWS using PySpark, Glue, and Delta Lake to power analytics and reporting for an Italian online grocery platform.
Build and maintain data pipelines, clean and transform data for analytics, and optimize systems using Python, SQL, and AWS services for a healthcare-focused role.
Design and build scalable Snowflake and AWS-based data pipelines with Airflow orchestration to feed analytics and AI services for enterprise clients.
Design and build scalable data pipelines and warehouses, clean and transform raw data, and collaborate with teams to deliver analytics-driven solutions for public-sector products.
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