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Build and own scalable data platforms and ETL pipelines for AI/ML and quantum-inspired optimization products, ensuring clean, versioned, and accessible datasets for analytics and AI workflows.
Lead the architecture of a data platform on AWS, using Terraform and Apache Iceberg, to power AI products and analytics while mentoring a data engineering team.
Build and maintain a modern data platform in AWS/Snowflake, designing pipelines with Python/SQL and orchestrating with Airflow/Dagster to power analytics and reporting for a crypto-fintech platform.
Build and maintain a modern data platform in AWS/Snowflake, design robust pipelines with Python/SQL/dbt, and enable analytics across Bitpanda’s crypto and wealth products.
Senior Data Engineer designs and operates scalable data pipelines (CDC, ETL) on AWS/Databricks, builds medallion architecture with Delta Lake, and prepares gold tables for BI while ensuring data quality and compliance with Peruvian privacy laws.
Builds scalable data pipelines and lakehouse systems to turn noisy edge sensor data into reliable measurement and forecasting for in-store Retail Media, using Spark, Kafka, Trino, and privacy-preserving architectures.
Build and maintain scalable data infrastructure (AWS, Kafka, Spark, Airflow) to power analytics and AI-driven hiring products at a global job-tech platform.
Build and maintain scalable data platforms on AWS using Kafka, Spark, Airflow and Iceberg to power analytics and AI products.
Design and optimize large-scale data pipelines and real-time analytics platforms using Apache Druid, Kafka, and SQL for a B2B IT outsourcing client.
Build and optimize AWS-based data pipelines and Redshift models to power BI and analytics for a large European telecom client.
Build and automate a new data platform using Kubernetes, AWS EKS, Terraform, and Prometheus/Grafana for a large Nordic bank.
Designs and builds scalable data pipelines and warehouses using cloud tools (AWS/Azure), SQL/NoSQL, and big-data frameworks (Spark, Kafka) to enable analytics and ML for clients.
Senior Data Engineer builds high-performance data pipelines and lakehouse architecture using ClickHouse, Postgres, and open-source tools to power real-estate analytics and products.
Build and optimize a large-scale Data Mesh for a transport-focused platform using Spark, Terraform, and AWS, ensuring reliable ETL pipelines and analytical data storage.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Build and run the Kubernetes-based SaaS platform’s core infrastructure, automating deployments, observability, and security for a new product from the ground up.
Build and maintain AWS-based lakehouse pipelines (Bronze/Silver/Gold) using dbt, SQL, and Python to ingest, transform, and deliver governed data products for government procurement analytics and AI use cases.
Build and optimize scalable data pipelines and lakehouse solutions using Databricks, Apache Spark, and Delta Lake, integrating with downstream systems for real-time and batch data consumption.
Build and operate AI-powered data platforms and applications for Disney’s vacation brands, designing cloud-native pipelines and AI frameworks to turn raw data into insights and guest experiences.
Build and maintain data pipelines and analytics systems using Python, Snowflake, dbt, and AWS services for a fintech platform.
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