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Semi-senior Data Engineer in Taligent's Center of Excellence designing, building, and maintaining ETL/ELT pipelines on cloud (AWS/Azure/GCP) with Python and SQL, integrating heterogeneous sources and modeling data for analytics and AI use cases.
Product Data Scientist embedded in Product Management for a Home Improvement lending product, driving analytics, A/B testing, ML models, and data pipelines using SQL, dbt, and Python/R.
Build and operate petabyte-scale data transfer pipelines for sensor data from global automotive partners, using Python, Terraform, Azure, Flyte, and Kafka within a hybrid London-based team.
Senior Data Engineer at a consultancy designing and maintaining data pipelines, ETL systems, and data models using SQL, Python, cloud infrastructure (Azure/AWS), and big data technologies like Spark and Kafka.
Build and maintain production data pipelines and trusted data products in a Snowflake-based ecosystem using SQL, Python, and dbt, supporting analytics and AI across a global travel company's portfolio of brands.
Senior Data Engineer at Westpac Bank designing scalable data pipelines, mentoring a squad, and ensuring reliable service delivery using Hadoop, Spark, Airflow, and Terraform in an Agile/DevOps environment.
Senior Data Engineer on an 8-month contract building and maintaining banking data platforms, primarily using the Hadoop stack (HDFS, Spark) and Airflow for data orchestration within a large bank's technology team.
Senior Data Engineer mentoring a squad and scaling data platforms for a bank, working with Hadoop, Spark, Airflow, Terraform, CI/CD, and CDC/streaming data.
Senior Data Engineer on an 8-month contract at Westpac NZ, working across the Hadoop stack (HDFS, Spark), Airflow, Terraform, and CI/CD to build and maintain data platforms that support innovative banking products, while mentoring other engineers.
Senior Data Engineer mentoring a squad at Westpac NZ, collaborating with stakeholders to deliver innovative banking products using Hadoop, Airflow, CDC patterns, Terraform, CI/CD, and containerisation within an Agile and DevOps framework.
Senior AWS Data Engineer designing and building scalable data pipelines and curated data platforms on AWS using SQL, Python, dbt, and Airflow to enable reporting and analytics.
Design, build, and maintain scalable ETL/ELT pipelines and data models on Google Cloud Platform using Python, SQL, BigQuery, and Airflow, while ensuring data governance and collaborating with stakeholders.
Senior data engineer on the Mapping team building scalable data pipelines, offline experimentation tooling, and route simulation services for a ride-hailing platform, using AWS, Databricks, Kubernetes, Airflow, and Spark.
Senior Data Engineer on Lyft's Mapping team, building scalable data pipelines, offline experimentation tooling, and route simulation services using AWS, Databricks, Kubernetes, and Airflow.
Design and maintain the data structures and ETL pipelines behind a graph-RAG platform — modeling knowledge domains, building ingestion pipelines from SharePoint/Microsoft sources in Python, and keeping a Neo4j/Postgres knowledge graph in sync.
Senior Data Engineer designing and building scalable ETL pipelines with Python, SQL, Snowflake, and cloud platforms, collaborating across teams and mentoring others in an office-based role.
The ETL Software Engineer will build and maintain data integration pipelines using Informatica, MuleSoft, and Python to support analytics and reporting systems. The role involves troubleshooting data workflows, managing Snowflake database objects, and collaborating with cross-functional teams to ensure data quality and system reliability.
Build and maintain ETL data integration pipelines using Informatica/IICS, MuleSoft, Snowflake, Airflow, and Python to move data between Salesforce and enterprise sources for analytics and reporting.
Data Engineer owning and scaling core financial data infrastructure (including SPEI workloads) by designing ETL/ELT pipelines with Python, Spark, and Airflow, optimizing MySQL/MongoDB queries, and driving Terraform-based GCP deployments with AI-driven automation.
Lead Data Engineer role in Guadalajara building scalable data platforms and ETL/ELT pipelines using Python, Spark, SQL, and Databricks, combining hands-on engineering with technical leadership, mentoring, and architecture decisions.
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