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Leads design and maintenance of scalable data pipelines and ETL processes for UK clients, using Python, Spark, SQL, and cloud platforms to ensure reliable, high-performance data infrastructure.
Principal Data Engineer builds and optimizes high-performance data pipelines for a fast-growing fintech, using Azure, Snowflake, dbt, and Airbyte to power analytics and ML at scale.
Build and maintain scalable Azure data pipelines (batch & real-time) using Python, PySpark, and Azure services like Synapse and Databricks to power analytics and ML.
Build end-to-end BI solutions for a financial-services client: design data models, ETL pipelines, and warehouses using SQL, Python/Java/Scala, and Spark.
Builds and optimizes Go/Scala microservices and backend APIs for client communications in a product-focused team.
Design and build scalable Java/Spring Boot microservices, REST APIs, and data pipelines using Kafka, Postgres, Cassandra, and Kubernetes for a next-gen platform.
Build and scale Python applications that integrate ML models, using PySpark and Kubernetes; collaborate with data scientists to deploy end-to-end ML pipelines.
Senior engineer building embedded finance systems in C#/.NET and Azure, modernizing banking tech and driving AI-first architecture to scale financial services for enterprise partners.
Lead backend engineering at Truecaller, designing scalable systems in Scala/Java/Go to protect 450M+ users from spam and scams while mentoring engineers and shaping cross-team initiatives.
Lead backend engineering at a global caller-ID and spam-blocking app used by 450M+ users, scaling real-time systems in Scala/Java/Go while mentoring engineers and setting best practices.
Senior Software Engineer builds and maintains Mastercard’s Subscription Management platform in Java/Scala, leading a cross-functional team to deliver secure, scalable payment rails for banks and merchants.
Senior engineer building and optimizing Roku’s data infrastructure to power streaming services and user experiences using Python/Java/Scala, Spark, Kafka, and cloud platforms.
Principal Data Engineer at REA Group designs and oversees large-scale data systems for Australia’s leading property platform, ensuring reliable pipelines and high-quality data delivery for millions of users.
Designs, builds, and maintains scalable data pipelines and platforms using Databricks, Python/Scala, and SQL in multi-cloud environments.
Build and deploy AI models in Python/C#/Scala to drive scalable retail solutions, collaborating with cross-functional teams to deliver measurable business outcomes.
Lead the architecture and delivery of large-scale data systems for a top Australian property platform, guiding ETL workflows, cloud warehouses, and cross-team collaboration.
Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Design and lead the build of a modern, scalable GCP-based data ingestion framework, using BigQuery, Dataflow, Pub/Sub, and Airflow to move batch and streaming data into cloud storage.
Senior Data Engineer builds and maintains RACV’s Snowflake-based enterprise data platform, designing scalable ELT/ETL pipelines and data models to turn raw data into trusted insights for business decisions.
Design and build scalable data pipelines and lakehouse architectures on Databricks using PySpark/Scala and Delta Lake, ensuring production readiness with CI/CD and monitoring.
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