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Senior Data Platform Engineer - AWS Lakehouse & Terraform
Designs and provisions an AWS Lakehouse data lake foundation using S3, Iceberg, Glue, Athena, and Lake Formation, with Terraform for infrastructure-as-code across environments.
Senior Data Platform Engineer (AWS)
Designs and provisions AWS-based data lakehouse infrastructure using Iceberg, Glue, Athena, and Lake Formation, with Terraform for IaC across CI/CD environments.
Azure Databricks Data Engineer — Lakehouse & ETL
Design and build scalable Azure Databricks-based data pipelines and lakehouse architectures using Spark and Azure Data Factory to power analytics and reporting.
Middle Data Engineer (Azure Databricks)
Designs and builds cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI, integrating with SQL Server and Azure Data Factory.
Azure Databricks Data Engineer — Lakehouse & Pipelines
Designs and builds Azure Databricks-based data pipelines and Lakehouse architectures using PySpark and SQL to transform and integrate data for scalable cloud analytics.
Big Data & AI Engineer - 100% Remote
Designs and builds scalable data pipelines and AI systems using Spark, Python/Scala, and cloud architectures for generative AI and Lakehouse solutions.
Senior Data Engineer (m/f/d)
Designs and builds scalable data pipelines and warehouses for healthcare analytics, integrating SAP, Salesforce, and cloud sources using Python, SQL, and Snowflake/Databricks.
Remote Senior Data Engineer - AWS Data Platform & Lakehouse
Senior Data Engineer building scalable AWS data pipelines and Lakehouse architectures with DataOps, CI/CD, and observability using Grafana and CloudWatch.
data engineer for AI applications
Designs data models and architectures for AI-driven applications, ensuring scalable and high-quality data solutions across the full lifecycle.
data engineer for restaurant booking
Build and maintain scalable data pipelines and lakehouse infrastructure for a European restaurant-booking platform, using Snowflake/Databricks, Airflow, and AWS.
Data Engineer
Build and maintain cloud-native data pipelines on Google Cloud Platform, focusing on BigQuery, to enable analytics and AI use cases across a global fashion and beauty company.
Senior Data Engineer: Scalable Pipelines & Data Platforms
Designs and maintains scalable data pipelines and lakehouse architectures, integrating SAP, CRM, and cloud sources while ensuring data quality and governance.
Data Platform DevOps Engineer- 50% TW (Madrid)
Build and run a cloud-based data lakehouse platform for a fintech client, automating deployments, monitoring performance, and optimizing Kubernetes clusters with tools like Dremio, Spark, and Prometheus.
Data Platform DevOps Engineer - Hybrid/Remote Lakehouse
Build and maintain a cloud-based data lakehouse platform, automating deployments and observability to support analytics teams.
Remote Staff Software Engineer (Python)
Build and own Duetto’s Python/PySpark data lakehouse that powers real-time hotel pricing decisions, migrating from batch to streaming pipelines on AWS while driving data quality and AI-assisted tooling.
Senior Data Engineering Lead — Lakehouse & Spark
Leads a team of data engineers to design and build scalable Lakehouse solutions, optimize Spark pipelines, and govern data using Unity Catalog and IAM for a global financial services client.
Data Engineering Team Lead - Databricks
Lead a team of data engineers building and optimizing scalable data pipelines on Databricks for a global financial services client, using Spark, Delta Lake, and AWS.
Data Engineer, Microsoft Data Platform
Build and maintain Microsoft-centric data pipelines and lakehouse/warehouse architectures to support governed enterprise analytics and operational reporting.
Applied AI / ML Lead Software Engineer â Employee Platforms
Lead the design and delivery of LLM-powered and agentic AI workflows for JPMorganChase’s internal employee platforms, integrating AI safely into enterprise systems while ensuring reliability and compliance.
Fabric Data Architect
Design and implement Microsoft Fabric-based data platforms, AI analytics, and automation pipelines for enterprise clients, using Azure services and Power BI.