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The Data Engineer will design and maintain data pipelines, manage databases, and deploy machine learning models using GCP, Python, and SQL. The role requires a hybrid presence in San Sebastián de los Reyes and involves working within Agile teams on data-intensive and AI-driven projects.
The Software Engineer will build and maintain API integrations between the company's physical AI platform and external restaurant systems like POS and ERPs. The role involves backend development using languages such as Java, Go, or C++ to ensure reliable data flow and system performance.
Design and maintain robust data pipelines for clients, ensuring data quality and security, while also contributing internally to knowledge sharing and code templates. Core technologies include Big Data tools, SQL/NoSQL databases, Python/Java/Scala, and cloud platforms.
My client is based in Westmeath and is currently recruiting for a Data Engineering Lead to join the team on a permanent basis. The Engineering Team Lead is responsible for leading the organisation's data…
The Senior Data Engineer will develop and maintain complex data pipelines and transformation routines using Snowflake, Python, and Airflow to support healthcare analytics and payment integrity solutions. The role involves creating data models, implementing CI/CD automation, and ensuring data quality within a hybrid work environment.
Data Pipeline Development & Management Design, develop, and maintain robust ETL/ELT pipelines to process large volumes of structured data Implement batch data processing solutions using Databricks Monitor data…
Builds and maintains backend platform services for Grab’s business operations, including APIs, microservices, and data systems to manage business profiles, workflows, and metadata at scale across Southeast Asia.
Designs and evaluates scalable Azure-based data architectures for analytics, advising on best practices and tools to ensure future-ready healthcare data solutions.
The GoLang Developer will work in a highly scaled environment handling high volumes of data, utilizing Go or C/C++ and Linux internals. The role involves working with geo-diverse teams and leverages cloud infrastructure like AWS and containerization tools.
Develop and maintain software components in Java and/or C++ for high-tech projects across various sectors, working in Agile/Scrum teams with a focus on reliability, performance, and security.
The Cyber Analytics Engineer will design and develop analytical solutions to identify and correlate cyber threats to Singapore's national security. The role involves data mining, threat intelligence development, and communicating findings using technologies like Python, R, Scala, and various big data tools.
The Data Analytics Engineer will design and build data analytics and AI solutions to support national security missions. The role involves working with Python, Apache Spark, and various AI/ML technologies to develop server-side applications and integrate big data systems.
We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect – Data Engineering, you will be the technical anchor of the practice: leading…
Designs and maintains scalable data pipelines and warehouse models to process raw data into high-value assets using PySpark, Spark, or Hadoop.
Data Engineer designing and optimizing scalable data pipelines and infrastructure using Python, Scala, or Java with big-data frameworks like Spark, Hadoop, or Flink.
Data Engineer designing and maintaining scalable data pipelines, data warehouses, and cloud-based data platforms using SQL, Oracle PL/SQL, Python, and AWS services to support analytics and business decision-making.
The Ministry of Finance is responsible for the Government Procurement (GP) policies, which govern how government agencies conduct their procurement. With evolving needs of our public officers and changing procurement…
Design and build scalable, resilient data pipelines on Databricks (AWS) for enterprise clients, integrating governance tools and translating business needs into technical solutions.
The Senior Data Engineer will design and maintain a scalable cloud data lakehouse and analytics platform, managing ETL/ELT pipelines and data modeling to support business intelligence and compliance. The role requires proficiency in Python, Java, or Scala, experience with big data tools like Spark and Kafka, and fluency in both English and Mandarin.
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