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Consultant/Associate at PwC's Southeast Asia Advisory Technology Strategy practice who builds ETL strategy and pipelines, designs data models, and ensures QA across data pipelines for client analytics initiatives, primarily using Databricks, SQL/T-SQL, and cloud platforms.
PwC Southeast Asia Consulting is hiring an Associate-level data engineer to develop ETL strategies and logic, design data models, drive data mapping with client teams, and QA/optimize ETL code for timely analytics delivery. The core stack is SQL, Databricks, Microsoft Fabric, Python, C#, and PowerShell.
Architect and maintain the data models behind SemiAnalysis's semiconductor industry models, research, and consulting work. The engineer works autonomously across a distributed team to ensure data accuracy and build robust, modular data systems for analytics and client delivery, with growth opportunities in data modeling and AI infrastructure.
A 12-month contract role in Singapore building and maintaining ETL data pipelines and data stores (Redshift, RDS) in AWS using tools like Informatica and Pentaho. Day to day involves SQL-based data analysis, profiling, and organizing raw data from multiple sources to support business needs.
A data engineering role focused on business intelligence: gathering reporting requirements from business stakeholders, building curated datasets and dimensional models in Amazon Redshift/S3, and developing Tableau dashboards and reports. Requires 3+ years in data engineering/BI with strong SQL and AWS experience; based in Singapore.
Data engineer focused on business intelligence: gathering reporting requirements from business units, building curated data models in Amazon Redshift/S3, and delivering Tableau dashboards and reports. Core stack is SQL, AWS (Redshift, S3, Glue), and Tableau, with 3+ years of data engineering or BI experience required.
Synapxe is hiring a Data Engineer on a 2-year direct contract in Singapore to drive data migration initiatives. Day to day, the person designs scalable data architectures, builds ETL pipelines, and ensures data quality using AWS, Databricks, and Informatica IDMC, delivering analytics with Tableau or Power BI.
Senior Data Engineer at OCBC, one of Asia's leading banks, designing cloud-native data pipelines and lakehouse solutions using Spark, PySpark, Apache Iceberg, and real-time streaming. Day to day involves migrating legacy SQL workloads to the cloud, building ETL/ELT with Python and Linux scripting, and implementing data governance/catalog tooling like OpenMetadata and DataHub.
Design and maintain scalable AWS data pipelines and ETL processes using tools like Informatica and Pentaho, organizing data stores such as RedShift and RDS. The engineer collaborates with analysts to prepare reliable data for trend analysis and predictive modeling.
PwC Southeast Asia Consulting is hiring an Associate-level Data Engineer Consultant for healthcare engagements. Day to day the person designs and builds ETL logic and data models, writes test scripts, performs QA and optimization, and liaises with client stakeholders. Core stack: Databricks, Microsoft Fabric, SQL (SSIS, T-SQL), Python, C#, PowerShell.
Data engineer consultant in PwC Southeast Asia Consulting's healthcare practice who designs ETL strategies, data models and test scripts, then builds, QA's, optimizes and fixes ETL pipelines in Databricks and Microsoft Fabric using SQL, Python, C# and PowerShell.
A data engineer on Ambition Singapore's data and analytics team builds data pipelines, designs data models, and delivers interactive Tableau dashboards powered by AWS Redshift, S3, and Glue, translating business requirements into technical specifications.
OCBC, Singapore's longest-established bank, is hiring a Senior Data Engineer to design cloud-native data pipelines, lakehouse solutions with Apache Iceberg, and real-time streaming systems using Spark/PySpark, while helping migrate legacy SQL workloads and supporting data governance tools like OpenMetadata and DataHub. Requires at least 3 years of relevant experience in a cloud data engineering or
Design, build, and support Python-based data ingestion pipelines and backend services on a large-scale enterprise data platform, including production support and cross-functional collaboration. Core technologies emphasized are Snowflake, Databricks, and modern data architectures.
A data engineer designs and builds an end-to-end AWS Data Lake/Lakehouse platform: ingestion pipelines (Glue, Lambda, Step Functions, AppFlow), transformation and orchestration with Redshift and Glue, plus security, governance, and operations. Requires 3-5 years of data engineering experience with core AWS data services, SQL, and Python or Scala.
A hands-on Snowflake Data Engineer at ITCAN PTE. LIMITED in Singapore who builds and maintains ingestion/ELT pipelines, dimensional data models, and production data solutions, working with engineers, architects, QA, and BI teams. Core tech: Snowflake, SQL, and AWS (S3/IAM).
Senior data engineer who owns the data-warehouse architecture and ELT pipelines for credit & risk, building a layered lakehouse model on Databricks and Alibaba Cloud DataWorks. Partners with risk, product, finance and compliance teams, drives data quality and governance, and mentors a team of 3-5 engineers.
Senior Data Platform Engineer in Madrid who architects and owns enterprise-grade data platforms for AI-driven decision support, building scalable data pipelines, APIs, and validation layers feeding the Aily App and ML models. Core stack: Python, SQL, and Airflow in a modern data environment.
Senior data platform engineer and cloud architect who designs, evolves and operates a corporate data platform on AWS, leading end-to-end technical initiatives, defining architecture standards and mentoring other engineers. Core stack: AWS (ECS/Fargate, Redshift, MWAA), Terraform, Python, Ansible and GitHub Actions.
MediaMarkt España (MediaMarktSaturn Technology) is hiring an experienced data engineer to design and build scalable GCP-based ETL/ELT pipelines and BigQuery analytics solutions for category management and pricing, working in a cross-functional team with data scientists and engineers.
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