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Design and maintain scalable data architectures, ETL pipelines, and data lakes on AWS for a national library and archives system, using SQL, Python, and Airflow.
Build and maintain Payway’s data platform, including AWS-based Data Lake, Spark pipelines, and Airflow orchestration, while ensuring observability and performance.
Build and optimize scalable data pipelines and cloud-native services using Python/Java, Spark, and Kubernetes to power GenAI applications and LLM workflows.
Leads data-architecture projects for banks and insurers, building cloud-native data platforms, pipelines, and governance while managing teams and advising clients on data modernization and MLOps.
Lead a team modernizing a data platform using Python, SQL, Snowflake, AWS, Terraform, and Airflow across European hubs.
Tras más de 25 años ejecutando más de 1500 proyectos y desarrollando soluciones tecnológicas de negocio, Stratesys se ha convertido en una multinacional líder en servicios digitales y una de las mayores especialistas…
Build and optimize a modern data platform for an insurance company using Azure, Databricks, and PySpark, focusing on secure, compliant Data Marts and Spark job tuning.
P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical…
Build and run a secure, scalable AWS data platform using IaC and CI/CD to power analytics and AI insights for a logistics-focused SaaS company.
Build and maintain scalable data pipelines on Databricks for a sportswear client, focusing on product margin reporting and data readiness tracking using PySpark.
Build and maintain Microsoft Fabric data pipelines, Power Apps, Power Automate workflows, and Power BI dashboards to automate business processes and deliver analytics for Bosch’s digital transformation.
Builds and scales a Databricks Lakehouse on Azure, creating robust data pipelines that feed AI and analytics for an energy-focused company.
Build and maintain a Databricks Lakehouse on Azure that ingests IoT energy data (smart meters, solar, storage) to power analytics and AI for Dutch businesses driving the energy transition.
Build and own scalable data pipelines, cloud warehouse, and BI tooling using Python, SQL, dbt, Airflow, and Snowflake/BigQuery to turn product signals into business intelligence for a remote-first SaaS and AI company.
Client Overview: Our client is collaborating with a leading digital bank that is transforming the financial industry through innovative and secure tech-driven banking solutions. This forward-thinking institution…
Lead data engineering for a digital bank, building scalable pipelines and Lakehouse solutions in Google Cloud to enable analytics and decision-making.
Build and maintain ETL pipelines on Tencent Cloud using WeData and DLC with Spark, extracting and transforming data into a lakehouse for analytics.
Senior Data Engineer designs and builds scalable Microsoft Fabric/Azure data platforms for global clients, focusing on Lakehouse architectures, pipelines, and governance to enable analytics and AI.
Build and deploy modern full-stack applications using React/Angular for SPAs and FastAPI/Flask/Node.js for backend services, with PostgreSQL databases.
Lead a data engineering team to design and build scalable experimentation platforms, batch/streaming pipelines, and analytics-ready datasets using Python, Spark, Databricks, Snowflake, and Kafka.
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