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A senior data engineer in Dubai who owns end-to-end data pipelines on-site, covering data transformation, modeling, ingestion, orchestration, and modern data architectures, with strong Linux scripting and API integration. Arabic fluency is a key differentiator, and 10+ years of hands-on experience is required.
Lead Data Engineer at DeepLight AI in the UAE: design production-grade data platforms, drive end-to-end data pipelines and lakehouses, mentor engineers, and collaborate directly with client stakeholders. Core focus areas include governance, testing, and delivering analytics-ready, scalable data solutions.
On-site senior data engineer role in Dubai for an Arabic speaker, requiring 10+ years of hands-on data engineering with end-to-end ownership of production pipelines. Day-to-day work spans data transformation and modeling, orchestration, ingestion, NoSQL databases, distributed processing, Linux/scripting, and DevOps.
Senior Data Engineer at Den of Data, a Dutch data consultancy: a client-facing, technical role supporting customers, writing ETL, building data warehouses, and developing Power BI dashboards using Microsoft Azure (Fabric, Data Lake, Data Factory, Synapse), CI/CD pipelines, SQL, Python and AI.
Design, build, and operate production-grade ETL/ELT data pipelines, integrating data from APIs, databases, files, and streams into cloud-native data lakes on AWS/Azure. The role applies CDC and streaming patterns with engineering practices like version control, testing, CI/CD, and Infrastructure as Code.
A 1-year contract Senior Manager role in the Health Promotion Board's Chief Data Officer's Office, driving data governance, standards, and consent management for Singapore's National Lifestyle Repository. Day to day involves leading multi-agency partnership negotiations, defining data standards and compliance validation, and acting as data custodian, supported by working proficiency in tools like
Shell Energy LNG in Singapore is hiring a Senior Data Engineer to design, build, and evolve a scalable cloud data platform on Azure that powers advanced analytics, AI solutions, and data governance, partnering with business, architecture, and AI teams.
A data platform engineer working with the National Library Board in Singapore to design scalable AWS-based data systems, manage data lakes and pipelines, and handle migration planning and data quality governance in collaboration with architects, vendors, and cross-functional teams.
A market data engineer at Parameta Solutions (TP ICAP's data & analytics arm) who manages real-time market data feeds and pipelines, ensuring low-latency, high-availability distribution to exchanges and clients. Core stack includes Refinitiv RTDS, Bloomberg, and cloud platforms, with attention to regulatory compliance.
A hands-on data engineer who builds ELT ingestion pipelines, dimensional models, and production-ready data solutions to modernize an enterprise data warehouse into a cloud-native analytics platform on AWS and Snowflake, collaborating with engineers, QA, and BI users from design through handover.
Application Developer on DBS Bank's data platform team, designing and building enterprise data solutions end to end — from planning and implementation through testing and production support. Day to day centers on cloud-native development, data pipelines, dashboards, and API integration within an Agile environment.
A hands-on Snowflake Data Engineer building and maintaining ingestion and ELT pipelines, dimensional data models, and RAW/ODS/DW warehouse layers as part of an enterprise data warehouse modernization to AWS and Snowflake. Core work involves SQL optimization, data quality/reconciliation controls, and production support using Snowpipe, Tasks, Streams, and Stored Procedures.
Data engineer designing, building, and operating production-grade ETL/ELT pipelines that integrate data from on-prem systems, APIs, databases, files, and streams into cloud-native data lakes and analytical datasets on AWS/Azure. Requires 3-5 years of data/software engineering experience; based in Singapore.
Senior individual contributor designing, building, and evolving Shell Energy LNG's data platform in Singapore — cloud data pipelines, lakehouse solutions, integrations, and AI-ready data foundations. Core stack: Azure (ADF, ADLS), Databricks, PySpark, Python, and Kafka.
Design and build an end-to-end AWS data lake and lakehouse in Singapore: define data architecture standards, create ingestion pipelines, and ensure security, governance, and cost-efficient operations. Core stack is AWS with strong SQL and Python or Scala.
Senior Data Engineer at Singtel builds and improves big data pipelines and streaming/batch data applications on a Hadoop-based platform, working with Python, PySpark, Spark, SQL, Airflow and web/API frameworks like React, Django and Spring Boot, while mentoring junior engineers and leading DevOps/DataOps operations.
Data engineer at ETHOZ Capital in Singapore who designs, builds, and maintains scalable cloud ETL/ELT pipelines plus data lake, warehouse, and streaming architectures, ensuring data quality, governance, and cost efficiency while supporting analytics and PDPA compliance.
Senior Data Engineer at Singtel building and enhancing data pipelines on Big Data platforms for streaming and batch workloads. The role involves leading DevOps/DataOps efforts, mentoring junior engineers, and applying data security and governance practices within a multinational telco driving AI, 5G, and cloud services.
Supports and optimizes real-time financial market data systems for TP ICAP's Parameta Solutions, integrating and distributing feeds from exchanges and vendors like Refinitiv and Bloomberg. Day-to-day work spans scripting (Python/Linux), networking (multicast, TCP/IP), and cloud platforms to keep low-latency data pipelines accurate and reliable.
A data engineer at Singapore's National Library Board (via GovTech) who designs data architectures and works hands-on with a vendor to build, migrate, and maintain databases and data lakes on AWS, covering integration, transformation, quality/governance, and pipeline monitoring. Core stack: SQL, Python, AWS (S3, Glue, Athena, Iceberg, Lambda), and Airflow.
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