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Builds and maintains AWS-based data pipelines to ingest, process, and validate mainframe data, delivering clean datasets for healthcare analytics and operations.
Senior Data Engineer builds and maintains a cloud-based healthcare data platform using AWS services, Python, and ETL pipelines to securely store, process, and analyze federated medical datasets for AI-driven insights.
Data Engineer designing and maintaining data pipelines and ETL processes using AWS services (Glue, Lambda, S3, Redshift, EMR), Python, SQL, and PySpark for a global tech leader in Manchester.
Builds and scales an IoT data platform for the insurance sector, transforming sensor/device data into business insights using cloud-native architectures and AI/ML pipelines.
The BAU Lead - Data Engineering will manage data operations, production support, and platform stability in a cloud-first environment. The role involves leading a team to build and maintain data pipelines using AWS, Snowflake, Python, and Spark.
Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows on AWS using Python, PySpark, AWS Glue, and Lambda. Manages cloud infrastructure with Terraform and ensures CI/CD pipelines, monitoring, and security compliance.
Designs and maintains an AWS Data Lake and Lakehouse platform, focusing on data ingestion, transformation, storage, security, and governance to ensure scalable, reliable, and cost-efficient data pipelines.
Lead day-to-day BAU data engineering operations and production support for a Singapore-based insurance company, focusing on AWS and Snowflake data platforms, pipeline development, and data migration.
Data Engineer building and optimizing data pipelines, ETL processes, and storage solutions on AWS, Databricks, and Informatica IDMC for a Singapore-based company.
The Senior Data Platform Engineer will design and evolve scalable logging infrastructure and data pipelines to support security observability at Clio. The role involves architecting ELK/OpenSearch clusters, managing petabyte-scale storage, and implementing Infrastructure as Code within a hybrid cloud environment.
Delivery Centric is looking for a Data Engineer to build and support scalable cloud-native data solutions using SQL, Python, and various AWS data services. The role involves designing ETL/ELT pipelines, performing database tuning, and implementing data governance practices.
This data engineering analyst role involves migrating enterprise integrations to MuleSoft or AWS Glue and developing AI-driven solutions for automated testing and monitoring. The position is a fixed-term trainee role focused on building data pipelines and observability tools within a hybrid work environment.
The Cloud Platform Engineer will develop and maintain data transformation pipelines and cloud infrastructure using PySpark, AWS, and Terraform. This role involves supporting a Lakehouse platform within a hybrid environment in Newcastle and requires SC clearance eligibility.
Data Architect managing and optimizing data storage, pipelines, and ETL processes using AWS services (S3, RDS, Redshift, DynamoDB, Glue, Lambda), Databricks with Delta Lake/Spark, and Informatica IDMC for data governance and integration.
Designs scalable cloud-based data architectures for logistics systems, enabling global data product teams to build efficient pipelines and integrations within a data mesh framework.
Builds and maintains geospatial data infrastructure to track Amazon’s environmental impact (carbon, water, waste) by designing pipelines, automating ETL/ELT processes, and enabling risk assessments using AWS tools and Python/Scala/Java.
Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline 7+ years of relevant experience in data engineering roles with primary skills on…
FullStack developer (3-4 years exp) building transactional fintech services for a regional bank, using NodeJS/AWS Lambda and Java Quarkus/Azure for hybrid cloud integrations, adapter patterns, and high-throughput digital channels.
FullStack developer (4-6 years) building and maintaining BackOffice and digital channel services for a bank in Panama, using NodeJS, Java Quarkus, Angular, and hybrid cloud (AWS/Azure) with microservices architecture.
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