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AWS Data Engineer – Microsoft Fabric
Designs and maintains scalable AWS data pipelines and Microsoft Fabric environments, building ETL/ELT processes and data warehouses to support enterprise analytics and reporting.
Data Engineer-NSW
Build and maintain AWS-based data pipelines and real-time streaming solutions using Python, PySpark, Airflow, and Kinesis for a HR-focused product company.
AWS Data Engineer
Build and optimize AWS-based data pipelines and ML workflows using SageMaker, Kinesis, Glue, and Redshift, ensuring low-latency real-time and batch processing with Python and AWS services.
Data Engineer | Databricks Pipelines & Analytics | Flexible
Build and maintain Databricks pipelines and analytics for Velocity Frequent Flyer’s loyalty program, creating scalable data products and ETL workflows.
Staff Data Engineer (AWS, Postgres)
Lead a team to design and build cloud-native data pipelines in AWS (S3, Glue, Redshift, Airflow) and Postgres, delivering scalable solutions for financial control and reporting at a major bank.
Staff Data Engineer (Data Platform & Modernisation)
Lead a team to design and build a new cloud-based data platform in AWS for Product Control, using services like S3, Glue, Iceberg, and Redshift to solve complex data-driven challenges at scale.
Data Engineer
Build and maintain scalable data pipelines on Databricks to power analytics, reporting, and marketing for Velocity Frequent Flyer’s loyalty program.
Data Engineer
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow, and streaming tech to process high-volume data for analytics and warehousing.
Data Engineer
Design and build scalable AWS and Microsoft Fabric data pipelines for a major bank, insurer or wealth manager, ensuring trusted datasets for analytics and regulatory reporting.
Sr. Data Engineer (AWS + Telecom)
Designs and builds scalable AWS data pipelines and curated datasets for reporting and analytics using SQL, Python, PySpark, and AWS services like Glue, Redshift, and Airflow.
Pyspark AWS Data Engineer
Build and optimize AWS-based data pipelines using PySpark, Airflow, and Redshift to ingest, process, and transform real-time and batch data for enterprise clients.
Senior Data Engineer - AI-Powered Data Platform Leader
Builds and maintains scalable ETL/ELT pipelines and MLOps workflows for an AI-driven data platform, enabling customer-centric AI use cases with tools like dbt, Databricks, Redshift, and Airflow.
Data Engineer
Designs and maintains secure data pipelines and architectures, ensuring reliable data access for analytics while enforcing governance and security best practices.
Data Engineer
Build and maintain data pipelines and troubleshoot production issues for client projects using Python, SQL, and Spark.
Senior Data Engineer
Build and maintain cloud-native data pipelines and infrastructure for AI systems, enabling self-service analytics across TomTom’s product units using AWS/Azure and Python/Spark.
Senior Data Engineer
Build and own Shiftbase’s BigQuery + Dataform warehouse from scratch, designing layered architectures and ELT pipelines that feed clean, governed HR data to teams and AI initiatives.
Senior Data Engineer
Build and maintain robust ETL pipelines and cloud data infrastructure to ensure high-quality, reliable data flows for analytics and decision-making using AWS, Python, and modern data stack tools.
Programador Staff - Data Engineering
Build and maintain scalable data pipelines using Python/Scala, SQL, Spark, and cloud tools to move and transform data for analytics and reporting.
Senior Data Engineer (SQL, AWS) - SPVL
Design and optimize high-performance data pipelines and platforms using SQL, Python, AWS, and Spark to power analytics, dashboards, and AI models.
Data Architect (AI)
Design and optimize a high-performance data platform to power analytics, dashboards, and AI models, leveraging AWS tools like Redshift, Glue, and SageMaker.