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Build and maintain large-scale backend services and data pipelines for paid marketing systems, integrating ad platforms like Google Ads and Meta to optimize global hotel and app campaigns.
Design and build scalable data warehouse systems, ETL pipelines, and data models to power Plaud’s AI-driven productivity tools using SQL, Python, and big-data tech like Spark and Snowflake.
Lead a team of software engineers to build and enhance large-scale scientific data platforms using Java/Linux, big data tech (Hadoop, Spark), and DevOps practices.
Build Monzo’s in-house banking platform as a backend engineer, using Go, Cassandra, Kafka, and Kubernetes to deliver secure, scalable financial services.
Build and deploy generative AI models (LLMs, multimodal) using Azure Databricks, Hugging Face, and LangChain for content personalization, automation, and semantic analysis.
Build and maintain scalable data pipelines and Snowflake-based analytics systems to power Iterable’s AI-driven customer engagement platform, using Python, SQL, and cloud tools.
Build and improve Scala/Bazel-based developer platforms and CI systems to make Iterable’s engineering workflow faster, more reliable, and AI-assisted.
Builds a real-time command-and-control system in Rust for coordinating drone swarms and processing sensor data, using Tokio for async I/O.
Senior Data Engineer designs and builds big-data pipelines and Spark/Java applications to support risk analytics in a fintech firm, optimizing Hadoop/Spark workloads on Cloudera.
Lead the design and implementation of scalable data pipelines and architectures at EA, using Python, Spark, Kafka, and AWS to improve data quality and business decision-making.
Build and maintain scalable data pipelines using Python, Spark, AWS, and Snowflake to power analytics and insights for a global restaurant group.
Senior Data Engineer builds and optimizes scalable pipelines and cloud infrastructure to feed analytics and ML at a large food manufacturer.
Design and implement scalable data architectures for AI systems, build robust pipelines, and lead MLOps/LLMOps deployments using Python, Spark, and cloud platforms.
Lead a team building scalable data pipelines and AI-driven analytics using Python, Spark, and PyTorch to process large-scale datasets for enterprise clients.
Designs and maintains scalable data pipelines, ETL processes, and cloud-based data warehouses to support analytics and business intelligence workflows.
Build and maintain Azure Synapse-based data pipelines, integrate third-party systems, and design optimized data models for analytics and reporting.
Test and validate ETL pipelines and data transformations on Azure Databricks for a shift-scheduling analytics project, writing SQL-based test scripts and coordinating UAT.
Builds and optimizes big-data pipelines using Hadoop, Spark, and SQL for a banking analytics platform, ensuring scalable ETL and reporting.
Builds and maintains big-data pipelines using Spark, Scala, Hive, and SQL for a financial-sector client, with optional real-time streaming.
Build and scale data pipelines and warehouses for a regulated AI platform serving financial institutions, using Spark, Snowflake, Kafka, Airflow, and Kubernetes.
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