1,700+ Data Engineer Jobs - July 2026 - Urgent Hiring

Showing 1,733 jobs results for "data engineer"
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Undisclosed

KL City

  • **6 months likely to be extendable contractual role, later can be perm**
  • ***Budget upto RM 500/D**
  • *This is kind of independent consultant role ...
Posted
6 days ago
Undisclosed

KL City

  • Design, develop, and maintain ETL pipelines for data ingestion, transformation, and loading across multiple data sources.
  • Build and optimize data workflows and models using Azure Databricks and PySpark/SparkSQL.
  • Develop and maintain data models supporting analytics and reporting in Power BI. ...
Posted
16 days ago
SGD41,667 - SGD58,333 Per Month

Remote

  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
  • Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
  • Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. ...
Posted
22 days ago

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD

SGD8,000 - SGD8,000 Per Month

Singapore

  • Develop innovative data solutions that enhance data accessibility and usability.
  • Collaborate with cross-functional teams to identify data needs and implement effective solutions.
  • Monitor and optimize data pipelines for performance and reliability. ...
Posted
7 days ago
SGD7,000 - SGD7,000 Per Month

Singapore

  • Query, clean, and transform datasets using SQL and Python on the Databricks platform.
  • Ensure data quality and consistency across systems in accordance with government Instruction Manual (IM8) standards.
  • Build, enhance, and maintain dashboards for data monitoring, performance reporting, and user behaviour analytics. ...
Posted
7 days ago
MYR4,500 - MYR4,500 Per Month
  • Design, develop, maintain, and enhance ETL workflows using AWS Glue, Python, SQL, and related tools.
  • Lead the integration of data from various sources into a centralized data lake or data warehouse.
  • Ensure data quality, accuracy, and consistency across ETL processes and recommend improvements where necessary. ...
Posted
7 days ago
Undisclosed

Singapore

  • About the Role
  • We are looking for a Microsoft Fabric Data Engineer to design, build, and manage enterprise data solutions. You’ll work with Fabric Lakehouses, Warehouses, and Pipelines to prepare data for analytics and AI workloads.
  • You’ll collaborate with AI engineers, product managers, and business teams to ensure data is clean, secure, scalable, and ready to power intelligent applications. ...
Posted
7 days ago
Undisclosed

Singapore

  • Develop innovative data solutions that enhance data accessibility and usability.
  • Collaborate with cross-functional teams to identify data needs and implement effective solutions.
  • Monitor and optimize data pipelines for performance and reliability. ...
Posted
7 days ago
Undisclosed

KL City

  • Design and construct robust data pipelines across multiple cloud environments such as AWS, Azure, or GCP to enable seamless data flow and integration for enterprise clients.
  • Develop and optimise advanced data solutions using Snowflake, ensuring they are analytics-ready and tailored to diverse engineering use cases.
  • Create comprehensive ETL/ELT processes and sophisticated data models that underpin reliable enterprise analytics and reporting capabilities. ...
Posted
7 days ago
Undisclosed

KL City

  • Develop, maintain, and enhance ETL and data processing pipelines.
  • Support and monitor production data pipelines to ensure data quality, reliability, and operational stability.
  • Develop and optimize data workflows for ingesting, transforming, and storing structured and unstructured data. ...
Posted
7 days ago
SGD7,800 - SGD7,800 Per Month

Singapore

  • Gather, analyse, and document business and data requirements.
  • Enhance data collection and consumption processes through more efficient data integration channels.
  • Design, develop, and maintain data pipelines, ETL processes, and reporting solutions to support analytics and business needs. ...
Posted
16 days ago
Undisclosed

Singapore

  • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes.
  • Develop and optimize SQL queries, data models, and data structures for analytics and operational use cases.
  • Work with diverse data storage systems, including relational, NoSQL, and distributed file systems. ...
Posted
22 days ago
Undisclosed

Singapore

  • Build and maintain unified data platform infrastructure for government agencies
  • Develop APIs and services that standardise data ingestion, processing, and storage
  • Create reusable components and templates for agency data platform implementation ...
Posted
21 days ago
Undisclosed

Singapore

  • Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.
  • Define the next-gen paradigm for human-AI interaction.
  • Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion. ...
Posted
16 days ago
Undisclosed

Singapore

  • Design, develop, and maintain scalable data pipelines and data integration solutions across on-premise, cloud, and hybrid environments.
  • Build and optimize data models, ETL/ELT processes, and data services to support analytics, reporting, and operational use cases.
  • Support Master Data Management (MDM) initiatives by implementing data integration, data quality, and data governance controls. ...
Posted
a day ago
Undisclosed

Singapore

  • • Degree/ qualifications in Computer Science, Information Management, or a related field.
  • • Experience with data management tools such as SQL, Python, or R.
  • • Professional certifications in data management, such as Certified Data Management ...
Posted
22 days ago
SGD5,000 - SGD5,000 Per Month

Singapore

  • Translate business data requirements into technical specifications.
  • Collaborate with IT teams on technology stack, infrastructure, and security alignment.
  • Design and build data ingestion pipelines to collect, clean, merge, and harmonize data from multiple source systems. ...
Posted
24 days ago
Undisclosed

Singapore

  • Build and maintain scalable ETL/ELT pipelines using a combination of Python, shell scripts, and SQL to ingest data from various sources such as CSV files, Spreadsheet files, APIs.
  • Configure and orchestrate ETL workflows; ensure timely data ingestion and transformation.
  • Design and maintain data schemas and contribute to database engineering with a strong focus on scalability, data integrity, and governance. ...
Posted
2 days ago
Undisclosed

Singapore

  • Develop TRUST data strategy:
  • Oversee data preparation and data provisioning for TRUST:
  • Oversee implementation of common data model and data quality programme in TRUST and MCDR: ...
Posted
2 days ago
Undisclosed

Queenstown

  • Data Ingestion & Logistics: Architect and maintain robust automation for ingesting raw data from sequencing instruments to our hybrid storage systems. You will own the "handshakes" that ensure data moves reliably from edge to cloud.
  • Infrastructure as Code (IaC): Manage and deploy AWS resources (S3, Lambda, DynamoDB, RDS) using AWS CloudFormation, ensuring our infrastructure is reproducible, version-controlled, and follows DevSecOps best practices.
  • Technical Compliance & Provenance: Implement the technical controls for data governance. This includes designing immutable audit logs, automated access control policies, and lineage tracking systems to satisfy regulatory requirements (no manual report writing required). ...
Posted
2 days ago
SGD8,000 - SGD8,000 Per Month

Singapore

  • Architect and implement scalable and resilient data pipelines, ensuring efficient data ingestion, processing, and storage in a cloud environment.
  • Coordinate cross-functional teams, including business leads, system owners, architects, engineers, and external vendors to deliver high impact solutions.
  • Develop and enforce policies and procedures for data management, ensuring the integrity and confidentiality of sensitive data. ...
Posted
2 days ago
MYR8,000 - MYR11,000 Per Month
WFH

Malaysia

  • Health insurance
  • Work from home
  • How much is your expected salary? (per month, in MYR) ...
Posted
a day ago
SGD10,000 - SGD10,000 Per Month

Singapore

  • Role Summary
  • We are seeking an experienced Senior Telecom Data Engineering & ETL Lead to manage and enhance large-scale telecom data warehouse platforms supporting enterprise reporting, analytics, customer insights, regulatory reporting, and operational systems.
  • The candidate must possess deep expertise across telecom business processes, enterprise ETL architecture, cloud data platforms, database optimization, and production support within a mission-critical environment. ...
Posted
4 days ago
Undisclosed

KL City

  • To design, develop, and optimize scalable data infrastructure and pipelines, enabling efficient data processing, storage, and analysis to support data-driven decision-making and insights
  • Work independently, be resourceful while also being a good team player
  • Building scalable systems / data pipelines, interfacing with various data sources (e.g. Kafka, RDBMS, REST endpoints, object storage services) ...
Posted
4 days ago

APBA TG HUMAN RESOURCE PTE. LTD.

SGD7,000 - SGD7,000 Per Month

Singapore

  • Role OverviewWe are seeking a Senior Data Engineer to work directly with agencies, enabling them to reach their desired development delivery efficiency and system resiliency through optimized Continuous Integration/Continuous Deployment (CI/CD) and Site Reliability Engineering (SRE) practices.
  • As a forward-deployed engineer, you’ll partner with agencies to solve complex challenges, gather insights, and drive continuous improvement in our product offerings. This role combines deep technical expertise with a commitment to customer enablement and feedback, ensuring that our Core Engineering Products evolve to address the real-world needs of our customers.
  • As a Senior Data Engineer, you will be working on: ...
Posted
25 days ago
Undisclosed

KL City

  • Design and implement data store solutions for business needs
  • Build and maintain ETL pipelines using Talend, leveraging CI/CD tools
  • Develop and optimize Oracle PL/SQL queries and procedures ...
Posted
15 days ago
Undisclosed

KL City

  • Design, develop, and maintain data ingestion, transformation, and integration pipelines from multiple source systems.
  • Build and optimize ETL/ELT workflows to ensure reliable and efficient data processing.
  • Integrate structured and unstructured data from APIs, databases, files, and external platforms into centralized data environments. ...
Posted
17 days ago
Undisclosed
  • Consults with users, clients and other technology groups on issues and recommends advanced programming solutions.
  • Accountable for all phases of development process, analysis, design, construction, testing and implementation.
  • Provides user and operational support on applications to business users. ...
Posted
25 days ago
SGD7,200 - SGD7,200 Per Month

Singapore

  • Data Pipeline Development & Operations • Design, build, and operate scalable and reliable data pipelines on the Databricks platform • Develop end-to-end data workflows from ingestion through transformation to consumption • Implement robust error handling, monitoring, and alerting mechanisms • Ensure data pipeline reliability, performance, and maintainability • Optimize pipeline performance through efficient Spark job design and cluster configuration • Manage and orchestrate complex data workflows using Databricks Jobs and workflows Legacy Code Modernization • Refactor legacy code and data pipelines to PySpark for improved performance and scalability • Migrate traditional ETL processes to modern ELT patterns on Databricks • Assess existing codebases and identify opportunities for optimization and modernization • Ensure backward compatibility and data integrity during migration processes • Document refactoring approaches and create migration playbooks • Collaborate with stakeholders to minimize disruption during code transitions Data Engineering Excellence • Implement data quality checks and validation frameworks • Design and maintain Delta Lake tables with appropriate optimization strategies • Develop reusable code libraries and frameworks for common data engineering tasks • Follow software engineering best practices including version control, testing, and CI/CD • Participate in code reviews and provide constructive feedback to team members • Troubleshoot and resolve data pipeline issues in production environments Collaboration & Knowledge Sharing • Work closely with data architects, analysts, and business stakeholders • Collaborate with Infrastructure (Infra), Applications (Apps), and Cyber teams • Share knowledge and best practices with Team NCS • Mentor junior data engineers on PySpark and Databricks technologies • Document technical solutions and maintain comprehensive documentation
  • Essential Technical Skills • Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns • PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization • Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration • Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration • Data Modelling: Experience implementing data models including dimensional modelling, data vault, or lakehouse architectures • Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques • Python: Strong Python programming skills for data processing and automation Additional Technical Skills • SQL proficiency for data querying and transformation • Experience with cloud platforms (Azure, AWS, or GCP) • Understanding of data governance and security best practices • Knowledge of streaming data processing (Structured Streaming) • Familiarity with DevOps practices and CI/CD pipelines • Experience with version control systems (Git) • Understanding of data quality frameworks and testing methodologies Professional Experience • Minimum 8 years in data engineering or related roles • At least 2-3 years of hands-on experience with Databricks platform • Proven track record of refactoring legacy code to modern frameworks • Experience building and maintaining production data pipelines at scale • Background working across multiple data sources and formats • Experience in agile development environments Required Certifications – mandatory to have at least one • Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional Additional Certifications (Preferred) • Databricks Certified Associate Developer for Apache Spark • Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer) • Relevant data engineering or big data certifications Soft Skills • Strong problem-solving and analytical thinking abilities • Excellent communication skills to explain technical concepts clearly • Ability to work collaboratively in cross-functional teams • Self-motivated with strong attention to detail • Adaptable to changing priorities and technologies • Client-focused mindset with commitment to quality delivery
Posted
15 days ago
Undisclosed

Singapore

  • Architect end-to-end solution for business analytics product (dashboards or statistical model) from the acquiring of data, contextualizing data for business analytics and integrating of product with business process
  • Adopt the best data engineering practices to design and build reliable data marts in the Hadoop ecosystem for planning, reporting, and analytics
  • Work closely with business stakeholders, data scientists and data analysts to communicate data requirements, collect data, and validate quality of data products ...
Posted
25 days ago