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Build and maintain cloud and on-prem data-warehouse infrastructure for card-payment analytics, using GCP BigQuery, serverless tech, and CI/CD pipelines to deliver reports for internal and external stakeholders.
Build and operate full-stack insurance systems using Kotlin/Java, Angular/React, and AWS-native tech; shape scalable microservices and AI-driven workflows in a fast-moving fintech spin-off.
Own and scale Orderfox’s Azure platform powering AI agents that transform manufacturing data into actionable insights across CNC, injection moulding, and robotics.
Build and ship full-stack features for recycling-plant software, coding Python back-end services on Google Cloud and Firebase, and React front-ends, while owning deployments end-to-end.
Build and maintain scalable fintech products using .NET Core backend, React/Angular frontend, and Flutter mobile apps in a microservices architecture on AWS.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Build and scale AWS-based infrastructure for a fintech startup that digitizes receipts for banks and retailers, using Terraform, Ansible, and serverless services like Lambda and DynamoDB.
Build and own cloud-native data services like DBaaS, Docker Registry, and secret management on Kubernetes, shaping a sovereign European cloud platform for climate and space research.
Build and maintain end-to-end data pipelines and analytical models using Databricks, Microsoft Fabric, Python, SQL and Spark to deliver AI-driven insights for enterprise clients.
Build core cloud data services (DBaaS, Docker Registry, secret management) on Kubernetes, owning the full stack from APIs to production reliability for a European sovereign cloud platform.
Lead a team building and scaling a next-gen financial-data platform using Python, Spark, and AWS, while setting engineering standards and guiding technical decisions.
Owns data pipelines and real-time analytics for an API-first ecommerce platform, transforming transactional data into scalable tables and APIs for global clients.
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Senior Data Engineer designs and builds cloud-based data pipelines, warehouses, and ETL/ELT workflows using GCP, Azure, Snowflake, and dbt to support BI and AI systems.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, SQL, ETL tools, and Python/R for European clients.
Build and optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Build and optimize cloud data pipelines, design data models, and develop serverless APIs across AWS/GCP/Azure using IaC (Terraform/CDK).
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to power analytics and GenAI solutions for enterprise clients.
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to deliver analytics-ready datasets for GenAI and business use cases.
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