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Lead a team of data engineers to build and maintain Zoopla’s scalable data platform using Python, SQL, AWS, Redshift, Databricks, and Airflow.
Build and maintain scalable ETL pipelines using Python, SQL, AWS, and Apache Spark to power real-time and batch analytics for a global data-insights company.
Lead the design, build and operation of a large-scale AWS data platform using Redshift, Glue, Lambda and Kinesis to deliver reliable analytics and insights for the UK rail industry.
Design and build scalable AWS data pipelines (ETL, data lakes, warehouses) using Python, Spark, and AWS services like Glue, RedShift, and Kinesis to process large datasets for clients across multiple sectors.
Build and maintain AWS-based data pipelines that parse telecom network metrics, convert to Parquet/Iceberg, and stream into Redshift/ClickHouse using PySpark, Lambda, MSK, and Step Functions.
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Build and maintain cloud-based data pipelines and warehouses using Azure Databricks, Snowflake, and AWS services to enable AI/ML-driven insights for enterprise clients.
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
Design and maintain cloud data pipelines on AWS, build ETL/ELT workflows, and optimize Snowflake data warehouses using PySpark, dbt, and SQL for analytics in regulated industries.
Design, build, and maintain scalable data pipelines and cloud-based data platforms in AWS, Snowflake, and Azure using DevOps practices, CI/CD, and infrastructure-as-code.
Build and ship production-grade Python services and APIs for portfolio construction, trading, and analytics in a global asset manager, working directly with investment teams and using AI tools daily.
Build and maintain Python-based risk engines for market, clearing, counterparty and operational risk using Pandas, NumPy and cloud tech; integrate post-acquisition systems and explore Agentic AI for code generation.
Senior Python developer builds and maintains health-tech publishing systems and customer-facing apps using Python, AWS, React, and TypeScript in an agile team.
Senior Python Engineer builds cloud-native, serverless apps on AWS for public-sector digital services, mentors junior engineers, and drives DevOps maturity in an agile consultancy.
Build and deploy Python-based serverless applications on AWS, using Lambda, DynamoDB, and CI/CD pipelines for fintech and AI clients.
Build and deploy AI/ML models for a public-sector client, focusing on OCR, object detection, and LLM fine-tuning using Python, PyTorch, Hugging Face, and AWS serverless tools.
Build and scale cloud-native back-end services in Python (FastAPI/Flask) on AWS, using Terraform for IaC and CI/CD pipelines.
Build and maintain serverless Python applications on AWS, using Lambda, DynamoDB, and CI/CD pipelines for government or healthcare projects.
Build and scale cloud-native back-end services using Python and AWS serverless tech (Lambda, DynamoDB, API Gateway) for a fintech startup.
Build and maintain financial platforms using React, Node.js, Python, and AWS, integrating with Zoho CRM and external partners while mentoring junior engineers.
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