Microsoft Azure

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Microsoft, when the world moved to the cloud, didn't want to be left holding the on-premise bag. Thus emerged Azure, a platform promising to deliver everything-as-a-service with the comforting familiarity of Windows Server underneath. It aimed to be the enterprise’s easy transition, a way to lift-and-shift workloads without retraining entire departments. The reality, of course, is a bit messier. Azure is powerful, undeniably, but navigating its vast ecosystem can feel like exploring a Byzantine bureaucracy.

It’s essentially Amazon Web Services, but with a distinctly Microsoft flavor – meaning more integration with existing Microsoft products, and a pricing structure that requires a PhD in economics to decipher. While AWS still dominates, Azure has carved out a strong niche with enterprises already deeply invested in the Microsoft stack. Today, it's a mature platform, powering everything from simple websites to complex AI applications, and constantly battling AWS and Google Cloud for cloud supremacy – a battle fought largely in PowerPoint presentations and quarterly earnings reports.

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data engineer Data Engineer @ charles-&-keith-singapore-pte-ltd SG \| 2025-12-29 This Data Engineer role promises 2-3 years' hands-on work building and maintaining ETL pipelines across a multi-cloud stack (Alicloud, AWS, Azure, GCP) with governance baked in through... read more »	Cloud Computing, AWS, Azure, GCP, ETL/ELT, Data Governance, DWH, Cyber Security, Computer Science, Data Engineering, Big Data	Data Engineer charles-&-keith-singapore-pte-ltd (SG) FULL TIME \| JOB LISTED This Data Engineer role promises 2-3 years' hands-on work building and maintaining ETL pipelines across a multi-cloud stack (Alicloud, AWS, Azure, GCP) with governance baked in through documentation and security-minded practices. It correctly emphasizes collaboration with analysts, data scientists, and business stakeholders and the need to translate requirements into production pipelines and storage. Yet it reads as under-specified: no explicit mention of core tooling (Airflow or other orchestrators, Spark/Python/SQL), streaming versus batch processing, or data quality and testing practices. The governance angle is welcome, but the duties imply management expectations at a junior-mid level -- unclear whether 'team management' means mentoring or formal leadership. The odd inclusion of Alicloud hints at a non-global focus and may deter some Western applicants. No salary is shown, which adds uncertainty. Overall: practical, multi-cloud exposure and governance appeal, but the tech stack and guardrails could be clearer. Generated content Technology used Cloud Computing AWS Azure GCP ETL/ELT Data Governance DWH Cyber Security Computer Science Data Engineering Big Data Listed At 2025-12-29 2024-11-26 (original listing) Permalink View original posting
data engineer SVP, Operations Lead of Database and Data Platforms, Technology Group @ gic SG \| 2025-12-28 An operations lead role overseeing global database and data platform estates at GIC, blending legacy Oracle/SQL Server stewardship with a planned shift to cloud-native, open-source platforms like... read more »	Management, Oracle, SQL Server, Cloud Computing, AI/ML, Snowflake, Databricks, Analytics, KPI, Computer Science, Data Science, PostgreSQL, MySQL, Cassandra, DWH, Redshift, Data Streaming, DevOps, AWS, Azure, Docker, Kubernetes, Agile/Scrum	SVP, Operations Lead of Database and Data Platforms, Technology Group gic (SG) FULL TIME \| JOB LISTED An operations lead role overseeing global database and data platform estates at GIC, blending legacy Oracle/SQL Server stewardship with a planned shift to cloud-native, open-source platforms like Snowflake and Databricks, plus data mesh ideas. The job demands 15+ years in distributed, large-scale DB ops, a track record in multi-region leadership, DevOps/SRE, and IaC, plus cloud (AWS/Azure) and security know-how. It promises 24×7 availability, AI Ops, anomaly detection, self-healing clusters, and stringent SLAs with MSPs, vendors, and cross‑functional teams. The market-facing standout is the hybrid blend of strategic modernization and hands-on reliability, but the scope is broad and five-year horizon heavy on governance and transformation. Expect executive-level collaboration, talent-building duties, and a constant tension between risk management and innovation. Generated content Technology used Management Oracle SQL Server Cloud Computing AI/ML Snowflake Databricks Analytics KPI Computer Science Data Science PostgreSQL MySQL Cassandra DWH Redshift Data Streaming DevOps AWS Azure Docker Kubernetes Agile/Scrum Listed At 2025-12-28 2025-11-15 (original listing) Permalink View original posting
promoted The Fundamentals of Analytics Engineering The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.	Learn More
data engineer Principal Full Stack Engineer @ autodesk SG \| 2025-12-28 Autodesk’s Full Stack Principal Engineer role sits at the hinge of front-end craft and back-end microservices for a data platform, demanding leadership, architectural steerage, and hands-on... read more »	JavaScript, Computer Science, React, Java, Python, Docker, VMware, VirtualBox, Kubernetes, AWS, Cloud Computing, TypeScript, API, Agile/Scrum, Azure, GCP, CI/CD, Management, Git, DevOps, SQL, NoSQL, Analytics, Adobe Analytics, Google Analytics, Data Streaming	Principal Full Stack Engineer autodesk (SG) FULL TIME \| JOB LISTED Autodesk’s Full Stack Principal Engineer role sits at the hinge of front-end craft and back-end microservices for a data platform, demanding leadership, architectural steerage, and hands-on mentoring. Expect React or Vue on the client, Node.js, Java Spring Boot, or Python on the server, with Docker, Kubernetes, and AWS underpinning deployments. The role touts API-first design, RESTful services, and potential GraphQL, along with Twelve-Factor App discipline and micro-frontend patterns, all framed by a data-technology pulse. It’s deep and broad: 8+ years in full-stack work, cloud and CI/CD tooling, and a track record of scalable, secure systems. The salary section is vague—Autodesk hints at bonuses, stock, and a comprehensive package rather than numbers—so market transparency is partial. It’s a standout path for engineers who want influence across data platforms and products, but execution risk remains under big-company cadence. Generated content Technology used JavaScript Computer Science React Java Python Docker VMware VirtualBox Kubernetes AWS Cloud Computing TypeScript API Agile/Scrum Azure GCP CI/CD Management Git DevOps SQL NoSQL Analytics Adobe Analytics Google Analytics Data Streaming Listed At 2025-12-28 2025-05-06 (original listing) Permalink View original posting
data engineer Senior Data Engineer - QuantumBlack @ quantumblack SG \| 2025-12-27 This role is hyped with promises of growth, mentorship, and a global community, but the description lacks specific technical details and fails to highlight the core technologies and skills... read more »	AI/ML, Python, PySpark, SQL, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, Azure, Analytics, Data Science, Data Engineering, Cyber Security, GenAI, RAG, R, C, Agile/Scrum, Computer Science, Scala, Java, Spark, Pandas, NumPy, Matplotlib, Management	Senior Data Engineer - QuantumBlack quantumblack (SG) FULL TIME \| JOB LISTED This role is hyped with promises of growth, mentorship, and a global community, but the description lacks specific technical details and fails to highlight the core technologies and skills required. While it emphasizes a high-performance culture and diverse teams, it does not specify the tools or frameworks the candidate will work with, making it hard to evaluate the actual technical demands. The focus on ‘real-world projects’ and ‘cross-functional teams’ is vague, and the mention of Python, PySpark, and cloud platforms is generic. The job lacks clarity on the technical responsibilities and the nature of the challenges, making it difficult to assess the role’s value and the candidate’s qualifications. Generated content Technology used AI/ML Python PySpark SQL Airflow Databricks Docker Kubernetes Cloud Computing AWS GCP Azure Analytics Data Science Data Engineering Cyber Security GenAI RAG R C Agile/Scrum Computer Science Scala Java Spark Pandas NumPy Matplotlib Management Listed At 2025-12-27 2025-09-09 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Data Engineer @ singaporepsa SG \| 2025-12-27 Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is... read more »	Analytics, AI/ML, API, Big Data, Cloud Computing, ETL/ELT, Data Quality, Azure, Management, CI/CD, Computer Science, Data Engineering, DWH, RDBMS, SQL Server, NoSQL, Python, Microsoft, SSIS, Informatica, Data Governance, Power BI, DAX, ADF, Data Lake, SQL, Azure DevOps, TensorFlow, PyTorch, Keras, Hadoop, Hive, Spark, Databricks	Data Engineer singaporepsa (SG) FULL TIME \| JOB LISTED Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is Azure‑heavy: Data Factory, Data Lake Storage, App Service, Azure SQL, plus CI/CD via Azure DevOps, and a mandate to deploy ML in production. On the data side you’ll design relational, NoSQL, and big‑data pipelines using Python, SSIS or Informatica IPC, with scraping tools like BeautifulSoup or Scrapy and dashboards in Power BI. The workload spans data quality, governance, and security while optimizing cost and performance. Requirements demand 2–3 years of data engineering or software experience, solid communication, and self‑start energy, which is ambitious given the breadth. It’s a full‑stack data role in a market that values specialization; beware the scope creep and vendor hype. Generated content Technology used Analytics AI/ML API Big Data Cloud Computing ETL/ELT Data Quality Azure Management CI/CD Computer Science Data Engineering DWH RDBMS SQL Server NoSQL Python Microsoft SSIS Informatica Data Governance Power BI DAX ADF Data Lake SQL Azure DevOps TensorFlow PyTorch Keras Hadoop Hive Spark Databricks Listed At 2025-12-27 2025-10-01 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Aon Graduate Programme 2026, Singapore - Innovation & Analytics, Data Engineer @ aon SG \| 2025-12-25 Aon offers a two-year graduate programme in which data engineers work within a high-performing team to make data accessible for analytics, building systems for managing raw data; a differentiator... read more »	Analytics, Agile/Scrum, Management, Data Analytics, Python, Java, Scala, SQL, NoSQL, DWH, Snowflake, Databricks, Redshift, ETL/ELT, Cloud Computing, AWS, Azure, GCP, AI/ML	Aon Graduate Programme 2026, Singapore - Innovation & Analytics, Data Engineer aon (SG) FULL TIME \| JOB LISTED Aon offers a two-year graduate programme in which data engineers work within a high-performing team to make data accessible for analytics, building systems for managing raw data; a differentiator is exposure to multiple business areas and stakeholder interaction, while a risk is the potential challenge of navigating ethical implications in data processing. The program emphasizes skills in SQL, NoSQL, ETL, cloud platforms, and AI, with candidates needing fresh graduation and enthusiasm for the field. Generated content Technology used Analytics Agile/Scrum Management Data Analytics Python Java Scala SQL NoSQL DWH Snowflake Databricks Redshift ETL/ELT Cloud Computing AWS Azure GCP AI/ML Listed At 2025-12-25 2025-12-03 (original listing) Similar Jobs Loading... Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
data engineer Data Engineer - QuantumBlack @ quantumblack SG \| 2025-12-25 This role is a high-stakes, high-impact opportunity for a data engineer with a deep technical foundation. The job emphasizes continuous learning, mentorship, and cross-functional collaboration,... read more »	AI/ML, Python, PySpark, SQL, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, Azure, C, Analytics, R, GenAI, RAG, Data Quality, Cyber Security, Data Science, Data Engineering, Agile/Scrum, Computer Science, Scala, Java, DevOps, DataOps, MLOps, Pandas, NumPy, Matplotlib, Big Data, Spark, Kafka, Snowflake, AWS Glue, Beam, Flink, Management	Data Engineer - QuantumBlack quantumblack (SG) FULL TIME \| JOB LISTED This role is a high-stakes, high-impact opportunity for a data engineer with a deep technical foundation. The job emphasizes continuous learning, mentorship, and cross-functional collaboration, but the description lacks specificity about the technologies and tools to be used. While the company highlights a global community and world-class benefits, it doesn’t clearly outline the specific technologies or frameworks expected. The focus on ‘right tech for the right task’ suggests a preference for innovation, but the details remain vague. The role is ambitious and aligns with the latest trends in data engineering, yet it lacks the concrete technical specs needed to evaluate its viability for a candidate. It’s a promising position with potential, but the details are too fuzzy to be definitive. Generated content Technology used AI/ML Python PySpark SQL Airflow Databricks Docker Kubernetes Cloud Computing AWS GCP Azure C Analytics R GenAI RAG Data Quality Cyber Security Data Science Data Engineering Agile/Scrum Computer Science Scala Java DevOps DataOps MLOps Pandas NumPy Matplotlib Big Data Spark Kafka Snowflake AWS Glue Beam Flink Management Listed At 2025-12-25 2025-09-09 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Lead Data Engineer @ kuoksg SG \| 2025-12-23 Lead Data Engineer role promises steering enterprise-grade data pipelines, governance, and a team, while steering the analytics platform toward next-gen AI, with a front-and-center emphasis on... read more »	Analytics, Data Engineering, AI/ML, KPI, Data Modelling, RAG, SQL, Cloud Computing, Data Governance, DevOps, Management, ETL/ELT, Azure, AWS, GCP, Python, Spark, Synapse, Fabric, Databricks, MLOps, Docker, Kubernetes, LLM, Microsoft, Data Analytics, TensorFlow, Computer Science	Lead Data Engineer kuoksg (SG) FULL TIME \| JOB LISTED Lead Data Engineer role promises steering enterprise-grade data pipelines, governance, and a team, while steering the analytics platform toward next-gen AI, with a front-and-center emphasis on RAG, text-to-SQL, and data as innovation fuel. The tech stack reads like a tour of modern data cloud tools: Azure, AWS, or GCP; Synapse or Fabric; Databricks and Spark; SQL and Python; Docker and Kubernetes; plus MLOps and basic AI tooling. What stands out is the combination of hands-on architecture and people leadership, with expected diligence on security, lineage, and production readiness. The risk is scope creep: leadership duties may eclipse deep technical work, and genuine ROI on RAG/text-to-SQL bets remains uncertain. For the right candidate, it’s a trail to influence platform strategy and AI readiness; for the market, a crowded field that often overhypes governance with buzzwords. Generated content Technology used Analytics Data Engineering AI/ML KPI Data Modelling RAG SQL Cloud Computing Data Governance DevOps Management ETL/ELT Azure AWS GCP Python Spark Synapse Fabric Databricks MLOps Docker Kubernetes LLM Microsoft Data Analytics TensorFlow Computer Science Listed At 2025-12-23 2025-10-20 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Lead, Platform Engineering @ bain-and-company SG \| 2025-12-22 Vector seeks a Lead Platform Engineer to design cloud-based distributed systems, leveraging expertise in cloud engineering, DevOps, and software development. The role’s differentiator is working... read more »	Analytics, AI/ML, Management, Cloud Computing, DevOps, AWS, GCP, IaC, CI/CD, API, Kubernetes, Docker, Computer Science, Azure, Terraform, Pulumi, Ansible, Puppet, Grafana, Prometheus, Splunk, New Relic, Datadog, CloudWatch, GitHub, Jenkins, GitLab, Circle CI, Python, Git, dbt, Beam, Airflow	Lead, Platform Engineering bain-and-company (SG) FULL TIME \| JOB LISTED Vector seeks a Lead Platform Engineer to design cloud-based distributed systems, leveraging expertise in cloud engineering, DevOps, and software development. The role’s differentiator is working across AWS, Google Cloud, and Azure to create scalable AI solutions, but the risk is the requirement for deep, diverse technical experience and the potential for complex client interactions. Salary details are not provided, and the role involves hybrid working. Generated content Technology used Analytics AI/ML Management Cloud Computing DevOps AWS GCP IaC CI/CD API Kubernetes Docker Computer Science Azure Terraform Pulumi Ansible Puppet Grafana Prometheus Splunk New Relic Datadog CloudWatch GitHub Jenkins GitLab Circle CI Python Git dbt Beam Airflow Listed At 2025-12-22 2025-11-11 (original listing) Similar Jobs Loading... Permalink View original posting

data engineer Data Engineer @ charles-&-keith-singapore-pte-ltd SG \| 2025-12-29 This Data Engineer role promises 2-3 years' hands-on work building and maintaining ETL pipelines across a multi-cloud stack (Alicloud, AWS, Azure, GCP) with governance baked in through... read more »	Cloud Computing, AWS, Azure, GCP, ETL/ELT, Data Governance, DWH, Cyber Security, Computer Science, Data Engineering, Big Data	Data Engineer charles-&-keith-singapore-pte-ltd (SG) FULL TIME \| JOB LISTED This Data Engineer role promises 2-3 years' hands-on work building and maintaining ETL pipelines across a multi-cloud stack (Alicloud, AWS, Azure, GCP) with governance baked in through documentation and security-minded practices. It correctly emphasizes collaboration with analysts, data scientists, and business stakeholders and the need to translate requirements into production pipelines and storage. Yet it reads as under-specified: no explicit mention of core tooling (Airflow or other orchestrators, Spark/Python/SQL), streaming versus batch processing, or data quality and testing practices. The governance angle is welcome, but the duties imply management expectations at a junior-mid level -- unclear whether 'team management' means mentoring or formal leadership. The odd inclusion of Alicloud hints at a non-global focus and may deter some Western applicants. No salary is shown, which adds uncertainty. Overall: practical, multi-cloud exposure and governance appeal, but the tech stack and guardrails could be clearer. Generated content Technology used Cloud Computing AWS Azure GCP ETL/ELT Data Governance DWH Cyber Security Computer Science Data Engineering Big Data Listed At 2025-12-29 2024-11-26 (original listing) Permalink View original posting
data engineer SVP, Operations Lead of Database and Data Platforms, Technology Group @ gic SG \| 2025-12-28 An operations lead role overseeing global database and data platform estates at GIC, blending legacy Oracle/SQL Server stewardship with a planned shift to cloud-native, open-source platforms like... read more »	Management, Oracle, SQL Server, Cloud Computing, AI/ML, Snowflake, Databricks, Analytics, KPI, Computer Science, Data Science, PostgreSQL, MySQL, Cassandra, DWH, Redshift, Data Streaming, DevOps, AWS, Azure, Docker, Kubernetes, Agile/Scrum	SVP, Operations Lead of Database and Data Platforms, Technology Group gic (SG) FULL TIME \| JOB LISTED An operations lead role overseeing global database and data platform estates at GIC, blending legacy Oracle/SQL Server stewardship with a planned shift to cloud-native, open-source platforms like Snowflake and Databricks, plus data mesh ideas. The job demands 15+ years in distributed, large-scale DB ops, a track record in multi-region leadership, DevOps/SRE, and IaC, plus cloud (AWS/Azure) and security know-how. It promises 24×7 availability, AI Ops, anomaly detection, self-healing clusters, and stringent SLAs with MSPs, vendors, and cross‑functional teams. The market-facing standout is the hybrid blend of strategic modernization and hands-on reliability, but the scope is broad and five-year horizon heavy on governance and transformation. Expect executive-level collaboration, talent-building duties, and a constant tension between risk management and innovation. Generated content Technology used Management Oracle SQL Server Cloud Computing AI/ML Snowflake Databricks Analytics KPI Computer Science Data Science PostgreSQL MySQL Cassandra DWH Redshift Data Streaming DevOps AWS Azure Docker Kubernetes Agile/Scrum Listed At 2025-12-28 2025-11-15 (original listing) Permalink View original posting
promoted The Fundamentals of Analytics Engineering The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.	Learn More
data engineer Principal Full Stack Engineer @ autodesk SG \| 2025-12-28 Autodesk’s Full Stack Principal Engineer role sits at the hinge of front-end craft and back-end microservices for a data platform, demanding leadership, architectural steerage, and hands-on... read more »	JavaScript, Computer Science, React, Java, Python, Docker, VMware, VirtualBox, Kubernetes, AWS, Cloud Computing, TypeScript, API, Agile/Scrum, Azure, GCP, CI/CD, Management, Git, DevOps, SQL, NoSQL, Analytics, Adobe Analytics, Google Analytics, Data Streaming	Principal Full Stack Engineer autodesk (SG) FULL TIME \| JOB LISTED Autodesk’s Full Stack Principal Engineer role sits at the hinge of front-end craft and back-end microservices for a data platform, demanding leadership, architectural steerage, and hands-on mentoring. Expect React or Vue on the client, Node.js, Java Spring Boot, or Python on the server, with Docker, Kubernetes, and AWS underpinning deployments. The role touts API-first design, RESTful services, and potential GraphQL, along with Twelve-Factor App discipline and micro-frontend patterns, all framed by a data-technology pulse. It’s deep and broad: 8+ years in full-stack work, cloud and CI/CD tooling, and a track record of scalable, secure systems. The salary section is vague—Autodesk hints at bonuses, stock, and a comprehensive package rather than numbers—so market transparency is partial. It’s a standout path for engineers who want influence across data platforms and products, but execution risk remains under big-company cadence. Generated content Technology used JavaScript Computer Science React Java Python Docker VMware VirtualBox Kubernetes AWS Cloud Computing TypeScript API Agile/Scrum Azure GCP CI/CD Management Git DevOps SQL NoSQL Analytics Adobe Analytics Google Analytics Data Streaming Listed At 2025-12-28 2025-05-06 (original listing) Permalink View original posting
data engineer Senior Data Engineer - QuantumBlack @ quantumblack SG \| 2025-12-27 This role is hyped with promises of growth, mentorship, and a global community, but the description lacks specific technical details and fails to highlight the core technologies and skills... read more »	AI/ML, Python, PySpark, SQL, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, Azure, Analytics, Data Science, Data Engineering, Cyber Security, GenAI, RAG, R, C, Agile/Scrum, Computer Science, Scala, Java, Spark, Pandas, NumPy, Matplotlib, Management	Senior Data Engineer - QuantumBlack quantumblack (SG) FULL TIME \| JOB LISTED This role is hyped with promises of growth, mentorship, and a global community, but the description lacks specific technical details and fails to highlight the core technologies and skills required. While it emphasizes a high-performance culture and diverse teams, it does not specify the tools or frameworks the candidate will work with, making it hard to evaluate the actual technical demands. The focus on ‘real-world projects’ and ‘cross-functional teams’ is vague, and the mention of Python, PySpark, and cloud platforms is generic. The job lacks clarity on the technical responsibilities and the nature of the challenges, making it difficult to assess the role’s value and the candidate’s qualifications. Generated content Technology used AI/ML Python PySpark SQL Airflow Databricks Docker Kubernetes Cloud Computing AWS GCP Azure Analytics Data Science Data Engineering Cyber Security GenAI RAG R C Agile/Scrum Computer Science Scala Java Spark Pandas NumPy Matplotlib Management Listed At 2025-12-27 2025-09-09 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Data Engineer @ singaporepsa SG \| 2025-12-27 Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is... read more »	Analytics, AI/ML, API, Big Data, Cloud Computing, ETL/ELT, Data Quality, Azure, Management, CI/CD, Computer Science, Data Engineering, DWH, RDBMS, SQL Server, NoSQL, Python, Microsoft, SSIS, Informatica, Data Governance, Power BI, DAX, ADF, Data Lake, SQL, Azure DevOps, TensorFlow, PyTorch, Keras, Hadoop, Hive, Spark, Databricks	Data Engineer singaporepsa (SG) FULL TIME \| JOB LISTED Chasing a data engineer role that blends ETL, API apps, dashboards, and ML in a hybrid cloud/on‑prem setup, this posting reads as a Swiss Army knife with a dashed budget. The core tech stack is Azure‑heavy: Data Factory, Data Lake Storage, App Service, Azure SQL, plus CI/CD via Azure DevOps, and a mandate to deploy ML in production. On the data side you’ll design relational, NoSQL, and big‑data pipelines using Python, SSIS or Informatica IPC, with scraping tools like BeautifulSoup or Scrapy and dashboards in Power BI. The workload spans data quality, governance, and security while optimizing cost and performance. Requirements demand 2–3 years of data engineering or software experience, solid communication, and self‑start energy, which is ambitious given the breadth. It’s a full‑stack data role in a market that values specialization; beware the scope creep and vendor hype. Generated content Technology used Analytics AI/ML API Big Data Cloud Computing ETL/ELT Data Quality Azure Management CI/CD Computer Science Data Engineering DWH RDBMS SQL Server NoSQL Python Microsoft SSIS Informatica Data Governance Power BI DAX ADF Data Lake SQL Azure DevOps TensorFlow PyTorch Keras Hadoop Hive Spark Databricks Listed At 2025-12-27 2025-10-01 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Aon Graduate Programme 2026, Singapore - Innovation & Analytics, Data Engineer @ aon SG \| 2025-12-25 Aon offers a two-year graduate programme in which data engineers work within a high-performing team to make data accessible for analytics, building systems for managing raw data; a differentiator... read more »	Analytics, Agile/Scrum, Management, Data Analytics, Python, Java, Scala, SQL, NoSQL, DWH, Snowflake, Databricks, Redshift, ETL/ELT, Cloud Computing, AWS, Azure, GCP, AI/ML	Aon Graduate Programme 2026, Singapore - Innovation & Analytics, Data Engineer aon (SG) FULL TIME \| JOB LISTED Aon offers a two-year graduate programme in which data engineers work within a high-performing team to make data accessible for analytics, building systems for managing raw data; a differentiator is exposure to multiple business areas and stakeholder interaction, while a risk is the potential challenge of navigating ethical implications in data processing. The program emphasizes skills in SQL, NoSQL, ETL, cloud platforms, and AI, with candidates needing fresh graduation and enthusiasm for the field. Generated content Technology used Analytics Agile/Scrum Management Data Analytics Python Java Scala SQL NoSQL DWH Snowflake Databricks Redshift ETL/ELT Cloud Computing AWS Azure GCP AI/ML Listed At 2025-12-25 2025-12-03 (original listing) Similar Jobs Loading... Permalink View original posting
promoted Masthead Data Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.	Learn More
data engineer Data Engineer - QuantumBlack @ quantumblack SG \| 2025-12-25 This role is a high-stakes, high-impact opportunity for a data engineer with a deep technical foundation. The job emphasizes continuous learning, mentorship, and cross-functional collaboration,... read more »	AI/ML, Python, PySpark, SQL, Airflow, Databricks, Docker, Kubernetes, Cloud Computing, AWS, GCP, Azure, C, Analytics, R, GenAI, RAG, Data Quality, Cyber Security, Data Science, Data Engineering, Agile/Scrum, Computer Science, Scala, Java, DevOps, DataOps, MLOps, Pandas, NumPy, Matplotlib, Big Data, Spark, Kafka, Snowflake, AWS Glue, Beam, Flink, Management	Data Engineer - QuantumBlack quantumblack (SG) FULL TIME \| JOB LISTED This role is a high-stakes, high-impact opportunity for a data engineer with a deep technical foundation. The job emphasizes continuous learning, mentorship, and cross-functional collaboration, but the description lacks specificity about the technologies and tools to be used. While the company highlights a global community and world-class benefits, it doesn’t clearly outline the specific technologies or frameworks expected. The focus on ‘right tech for the right task’ suggests a preference for innovation, but the details remain vague. The role is ambitious and aligns with the latest trends in data engineering, yet it lacks the concrete technical specs needed to evaluate its viability for a candidate. It’s a promising position with potential, but the details are too fuzzy to be definitive. Generated content Technology used AI/ML Python PySpark SQL Airflow Databricks Docker Kubernetes Cloud Computing AWS GCP Azure C Analytics R GenAI RAG Data Quality Cyber Security Data Science Data Engineering Agile/Scrum Computer Science Scala Java DevOps DataOps MLOps Pandas NumPy Matplotlib Big Data Spark Kafka Snowflake AWS Glue Beam Flink Management Listed At 2025-12-25 2025-09-09 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Lead Data Engineer @ kuoksg SG \| 2025-12-23 Lead Data Engineer role promises steering enterprise-grade data pipelines, governance, and a team, while steering the analytics platform toward next-gen AI, with a front-and-center emphasis on... read more »	Analytics, Data Engineering, AI/ML, KPI, Data Modelling, RAG, SQL, Cloud Computing, Data Governance, DevOps, Management, ETL/ELT, Azure, AWS, GCP, Python, Spark, Synapse, Fabric, Databricks, MLOps, Docker, Kubernetes, LLM, Microsoft, Data Analytics, TensorFlow, Computer Science	Lead Data Engineer kuoksg (SG) FULL TIME \| JOB LISTED Lead Data Engineer role promises steering enterprise-grade data pipelines, governance, and a team, while steering the analytics platform toward next-gen AI, with a front-and-center emphasis on RAG, text-to-SQL, and data as innovation fuel. The tech stack reads like a tour of modern data cloud tools: Azure, AWS, or GCP; Synapse or Fabric; Databricks and Spark; SQL and Python; Docker and Kubernetes; plus MLOps and basic AI tooling. What stands out is the combination of hands-on architecture and people leadership, with expected diligence on security, lineage, and production readiness. The risk is scope creep: leadership duties may eclipse deep technical work, and genuine ROI on RAG/text-to-SQL bets remains uncertain. For the right candidate, it’s a trail to influence platform strategy and AI readiness; for the market, a crowded field that often overhypes governance with buzzwords. Generated content Technology used Analytics Data Engineering AI/ML KPI Data Modelling RAG SQL Cloud Computing Data Governance DevOps Management ETL/ELT Azure AWS GCP Python Spark Synapse Fabric Databricks MLOps Docker Kubernetes LLM Microsoft Data Analytics TensorFlow Computer Science Listed At 2025-12-23 2025-10-20 (original listing) Similar Jobs Loading... Permalink View original posting
data engineer Lead, Platform Engineering @ bain-and-company SG \| 2025-12-22 Vector seeks a Lead Platform Engineer to design cloud-based distributed systems, leveraging expertise in cloud engineering, DevOps, and software development. The role’s differentiator is working... read more »	Analytics, AI/ML, Management, Cloud Computing, DevOps, AWS, GCP, IaC, CI/CD, API, Kubernetes, Docker, Computer Science, Azure, Terraform, Pulumi, Ansible, Puppet, Grafana, Prometheus, Splunk, New Relic, Datadog, CloudWatch, GitHub, Jenkins, GitLab, Circle CI, Python, Git, dbt, Beam, Airflow	Lead, Platform Engineering bain-and-company (SG) FULL TIME \| JOB LISTED Vector seeks a Lead Platform Engineer to design cloud-based distributed systems, leveraging expertise in cloud engineering, DevOps, and software development. The role’s differentiator is working across AWS, Google Cloud, and Azure to create scalable AI solutions, but the risk is the requirement for deep, diverse technical experience and the potential for complex client interactions. Salary details are not provided, and the role involves hybrid working. Generated content Technology used Analytics AI/ML Management Cloud Computing DevOps AWS GCP IaC CI/CD API Kubernetes Docker Computer Science Azure Terraform Pulumi Ansible Puppet Grafana Prometheus Splunk New Relic Datadog CloudWatch GitHub Jenkins GitLab Circle CI Python Git dbt Beam Airflow Listed At 2025-12-22 2025-11-11 (original listing) Similar Jobs Loading... Permalink View original posting

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