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Builds and maintains scalable HR data pipelines on Azure Databricks and ADF, focusing on automated, high-quality analytics solutions for employee lifecycle data.
Build secure, scalable data pipelines and platforms for intelligence workflows, integrating classified and geospatial data using Python, Spark, and AWS in regulated environments.
Builds and maintains client-server applications using Java and Kotlin, applying OOP, design patterns, and TDD in an Agile team.
Build and own a scalable data platform for regulatory reporting in a fast-growing fintech, integrating batch/streaming pipelines and microservices to submit accurate outputs to regulators.
Builds and optimizes a high-performance JVM-based distributed calculation engine for financial indices and quantitative models in a regulated finance environment.
Build and deploy scalable Android apps in Kotlin to support Visa’s global payments infrastructure, ensuring reliability and security for millions of daily transactions.
Designs and builds scalable data platforms for finance clients using cloud technologies like AWS/Azure, focusing on ETL, data warehousing, and high-performance pipelines.
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Build and maintain scalable data pipelines and AI-driven systems for an ethical ad-tech platform, integrating ML models into production while ensuring data quality and security.
Senior Data Engineer builds scalable Azure-based data pipelines and Power BI semantic models for a UK plant-hire firm, focusing on telematics, ERP, and IoT data to improve operations and reporting.
Build and maintain real-time streaming data pipelines and feature stores to power AI model serving for a leading open-finance platform.
Build and own Fornax, an AI-powered data migration platform that moves legacy data into Searchability’s SaaS, using Python, Scala, SQL, AWS and Spark.
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Design and build large-scale data pipelines using Palantir Foundry, Java/Scala/Python, and cloud data platforms to process and persist high-volume datasets reliably.
Build and maintain scalable data pipelines and cloud infrastructure on Google Cloud, ensuring data quality and enabling analytics for clients.
Build and maintain The Guardian’s Android apps using Jetpack Compose, Coroutines/Flow, and MVVM, while collaborating across teams and leading projects.
Builds and maintains Azure-based data pipelines and ELT/ETL processes using Azure Data Factory, Synapse, and Fabric to deliver clean datasets for analytics and reporting.
Build and maintain high-performance, resilient backend services in Scala for a critical market-infrastructure platform on AWS, using Kafka, Kubernetes, and event-driven patterns.
Design and build scalable data lakes, warehouses, and pipelines using Python, SQL, and cloud platforms to power analytics and reporting for a financial-services company.
Designs and maintains scalable AWS-based data pipelines using SQL, Spark, Kafka, and Python to process large datasets and deliver analytics for business insights.
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