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Senior Data Engineer: AWS Redshift & Oracle PL/SQL
Senior Data Engineer builds and maintains AWS Redshift pipelines and ETL workflows, writes Oracle PL/SQL and PostgreSQL queries, and optimizes data platforms in a hybrid role.
Data Engineer, Senior
Senior data engineer building scalable ETL/ELT pipelines and platforms to process structured and unstructured data for mission-driven projects like fraud detection and healthcare.
Senior Software Engineer (Platform Core)
Build and maintain high-scale backend and data-layer services that power Pindrop’s identity trust platform, focusing on reliability, latency, and cost efficiency for real-time fraud and deepfake detection.
Data Analyst
Build and maintain BI dashboards and reports using SQL and tools like Qlik or Tableau to analyze commercial data and drive decisions for a global sports media company.
Senior Site Reliability Engineer (SRE)
Build and own backend services for a real-time commodity trading platform, then ensure they’re observable, resilient, and cost-efficient in production using AWS, Kubernetes, Kafka, and Datadog.
Data Engineer
Builds and maintains data pipelines, dbt models, and SQL queries to extract insights for business decisions, ensuring data quality and clear communication of findings to non-technical teams.
Junior Data Engineer
Build and maintain ELT/ETL pipelines to move data into Snowflake, write dbt models, and set up data-quality checks for a US-based AI mortgage platform.
Data Architect
Design and govern scalable, secure data platforms on AWS and Databricks to support critical healthcare services, ensuring high-quality data flow and compliance with NHS standards.
Senior Data Engineer — Scalable Real-Time Data Pipelines
Build and maintain real-time data pipelines and scalable infrastructure for a data lake and warehouse using Python, SQL, and modern cloud platforms like Redshift, BigQuery, Snowflake, and Airflow.
Senior Data Engineer
Build and maintain scalable data pipelines and warehouses to power real-time analytics for global ecommerce brands, using tools like Snowflake, Kafka, Spark, and Airflow.
Senior Data Engineer
Build and maintain scalable data pipelines and warehouses for a global ecommerce acceleration platform, ensuring real-time data flows and quality for business insights.
Data Scientist – Classical ML
Build and maintain classical ML models (clustering, unsupervised learning) in Python/SQL, taking models from prototype to production in a collaborative engineering environment.
Senior Engineer, Data Platform
Build and operate Movable Ink’s data ingestion pipelines and backend services, migrating legacy systems to modern cloud architectures while ensuring reliability, governance, and high availability for analytics and AI workloads.
Software Engineer, Data Platform
Build and maintain Movable Ink’s data ingestion pipelines and backend services, migrating legacy systems to modern architectures while ensuring reliability and governance for marketing personalization products.
Senior AWS Data Engineer: Lakehouse & Real-Time Pipelines
Design and build scalable AWS Data Lake and Lakehouse solutions using Glue, Lambda, Step Functions, and Kinesis to process large-scale cloud data pipelines.
AWS Data Engineer
Design and build scalable AWS data platforms, including data lakes and ETL/ELT pipelines using AWS Glue, Redshift, and Kinesis for batch and streaming workloads.
Senior Data Engineer
Lead a team to build and maintain cloud-based data pipelines and warehouses for a Singapore insurance firm, using AWS, Snowflake, Python, and Spark to migrate and optimize data flows.
Lead Data Architect - Cheltenham
Lead a team to design and implement secure, high-throughput data architectures on AWS, using Flink for real-time processing and mentoring engineers.
DATA ENGINEER
Build and maintain ETL/ELT pipelines that move financial data from core systems (SAP/Oracle, Salesforce) into BigQuery and analytics dashboards, ensuring data quality and availability.