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First VP, Senior Data Engineer, Group Technology & Ops
Lead the design and build of enterprise-scale data platforms and AI-ready data assets for a major bank, using Spark, Kafka, Iceberg, and cloud-native tools.
Data Engineer
Designs and maintains data pipelines, ETL processes, and dashboards using SQL, Python, Databricks, and visualization tools to ensure data quality and compliance.
Lead Data Engineer
Lead a small team to design, build, and scale cloud-based data pipelines and platforms using Python, SQL, and tools like Airflow, Spark, and Snowflake for reliable, ML-ready data.
DATA ENGINEER
Designs and maintains scalable cloud data pipelines and warehouses using SQL, Python, and cloud platforms to enable reliable analytics and business insights.
Data Platform Engineer (Cloudera)
Engineer and maintain a Cloudera Hadoop data platform, tuning clusters, securing services, and optimizing Spark/Hive/Impala workloads for a banking environment.
Junior Analytics Engineer: Build Robust Data Pipelines
Build and maintain data pipelines and models using SQL, Python, PySpark, and cloud platforms to power BI and dashboards for a fintech company.
Data Engineer - Zurich Asuransi Indonesia
Builds and optimizes ETL/ELT pipelines in Databricks using Spark SQL and Python to transform raw insurance data into clean, analytics-ready datasets for data scientists and analysts.
Data Engineer – Kraków (Małopolskie), Polska K/M Astek
Build and maintain Azure-based data pipelines with PySpark and Databricks to integrate on-prem and cloud data for HR payroll analytics in a hybrid Kraków team.
Senior Data Engineer at The HEINEKEN Company
Senior Data Engineer builds and optimizes scalable data pipelines and ETL processes for HEINEKEN’s global data infrastructure, using Python, SQL, Azure, Databricks, and Kafka.
Senior Data Engineer — Azure & Databricks Expert
Build and maintain ETL/ELT pipelines and modern data platforms using Azure services, Databricks, and PySpark.
Data Engineer - AWS Ecosystem (office OR remote)
Build and optimize AWS-based data pipelines and cloud architectures using Glue, EMR, Redshift, and S3 to transform raw data into reliable datasets for analytics.
Senior Data Engineer (Azure)
Build and maintain scalable data pipelines on Azure and Databricks, using PySpark, SQL, and ETL/ELT processes to support analytics and reporting.
Azure Data Engineer - PySpark, Databricks & Pipelines
Builds and maintains Azure-based data pipelines using PySpark and Databricks to integrate and deliver data for business analytics across payroll projects.
Data Engineer: PySpark, AWS & Terraform — Flexible Hours
Build and maintain scalable data pipelines using PySpark, AWS, and Terraform to support analytics and infrastructure automation in an international team.
Middle Data Engineer (Azure Databricks)
Build and maintain cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to feed analytics and BI tools, integrating with SQL Server and Azure Data Factory.
Data Engineer (PySpark | AWS | Terraform) (Remoto)
Build and maintain big-data pipelines and cloud infrastructure using PySpark, AWS, and Terraform to process and optimize data solutions for an international team.
Data Engineer - Factory Barcelona
Senior data engineer building ETL pipelines and data architectures using SQL/NoSQL, Fabric, AWS Glue/EMR, and Databricks, with optional MLOps and Azure exposure.
Senior, Data Engineer
Design and maintain scalable data pipelines and enterprise data warehouses using AWS Glue, PySpark, and Informatica to ingest, transform, and deliver clean data for analytics across Schneider Electric’s global operations.
Data Engineer AI
Build and deploy AI/ML pipelines and generative-AI initiatives using Python, PySpark, TensorFlow, and cloud-native tooling.
Data Scientist
Build and deploy ML models and data pipelines to optimize ad-tech performance, collaborating with engineers and product teams using Python, SQL, and frameworks like TensorFlow.