Singapore, South West, Singapore
Live, first seen by us 74 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
You will work across cloud environments, integrating diverse data sources and creating reliable data pipelines that deliver trusted, high-quality information to stakeholders.
Design, develop, and maintain scalable data pipelines, data lakes, data warehouses, and data marts using Databricks and cloud-native technologies.
Build and optimize Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) processes to ensure high-quality, reliable, and accessible data.
Passionate about building modern data platforms and transforming complex data into meaningful business insights? At Kyndryl, our Data Engineers design, develop, and optimize scalable data solutions that enable organizations to make informed, data-driven decisions. As a Data Engineer specializing in Databricks, you will play a critical role in architecting and maintaining enterprise data platforms that support advanced analytics, reporting, artificial intelligence, and business intelligence initiatives. You will work across cloud environments, integrating diverse data sources and creating reliable data pipelines that deliver trusted, high-quality information to stakeholders. This role offers the opportunity to work with cutting-edge cloud technologies, modern data architectures, and large-scale data engineering projects while collaborating with multidisciplinary teams to solve business challenges through data innovation.
What You Will Do Design, develop, and maintain scalable data pipelines, data lakes, data warehouses, and data marts using Databricks and cloud-native technologies. Build and optimize Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) processes to ensure high-quality, reliable, and accessible data.
Design, develop, and maintain scalable data pipelines, data lakes, data warehouses, and data marts using Databricks and cloud-native technologies. Build and optimize Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) processes to ensure high-quality, reliable, and accessible data. Integrate data from multiple sources, ensuring scalability, compliance, security, and adherence to data governance standards.
Hands-on experience designing and developing data engineering solutions using Databricks, Apache Spark, Structured Query Language (SQL), and Python.
Experience with Microsoft Fabric and lakehouse architecture.
Proven experience building and supporting Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) pipelines in cloud environments such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
Knowledge of Apache Kafka, Apache Hadoop, or other big data technologies.
Strong knowledge of data warehousing, data lakes, data marts, data virtualization, and modern data architecture principles.
Experience developing real-time and streaming data solutions.
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.
In the employer’s words · Read in context
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Day 74
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past Kyndryl Holdings’s usual: its jobs come down by about day 24.
From 13,630 similar postings that came down, and 125 of Kyndryl Holdings’s. Coming down is not always a hire.
39 open jobs
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Required Skills and Experience - Hands-on experience designing and developing data engineering solutions using Databricks, Apache Spark, Structured Query Language (SQL), and Python. - Proven experience building and supporting Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) pipelines in cloud environments such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Hands-on experience designing and developing data engineering solutions using Databricks, Apache Spark, Structured Query Language (SQL), and Python. - Proven experience building and supporting Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) pipelines in cloud environments such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). - Strong knowledge of data warehousing, data lakes, data marts, data virtualization, and modern data architecture principles.
Passionate about building modern data platforms and transforming complex data into meaningful business insights? At Kyndryl, our Data Engineers design, develop, and optimize scalable data solutions that enable organizations to make informed, data-driven decisions. As a Data Engineer specializing in Databricks, you will play a critical role in architecting and maintaining enterprise data platforms that support advanced analytics, reporting, artificial intelligence, and business intelligence initiatives. You will work across cloud environments, integrating diverse data sources and creating reliable data pipelines that deliver trusted, high-quality information to stakeholders. This role offers the opportunity to work with cutting-edge cloud technologies, modern data architectures, and large-scale data engineering projects while collaborating with multidisciplinary teams to solve business challenges through data innovation.
What You Will Do - Design, develop, and maintain scalable data pipelines, data lakes, data warehouses, and data marts using Databricks and cloud-native technologies. - Build and optimize Extract, Transform, and Load (ETL) and Extract, Load, and Transform (ELT) processes to ensure high-quality, reliable, and accessible data.
- Understanding of data modelling, analytics platforms, and business intelligence solutions. - Relevant cloud or Databricks certifications. Being You
- Experience with Microsoft Fabric and lakehouse architecture. - Knowledge of Apache Kafka, Apache Hadoop, or other big data technologies. - Experience developing real-time and streaming data solutions.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Who We Are
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
The Role
Passionate about building modern data platforms and transforming complex data into meaningful business insights? At Kyndryl, our Data Engineers design, develop, and optimize scalable data solutions that enable organizations to make informed, data-driven decisions.
As a Data Engineer specializing in Databricks, you will play a critical role in architecting and maintaining enterprise data platforms that support advanced analytics, reporting, artificial intelligence, and business intelligence initiatives. You will work across cloud environments, integrating diverse data sources and creating reliable data pipelines that deliver trusted, high-quality information to stakeholders.
This role offers the opportunity to work with cutting-edge cloud technologies, modern data architectures, and large-scale data engineering projects while collaborating with multidisciplinary teams to solve business challenges through data innovation.
As a Data Engineer, you will have opportunities to deepen your expertise in modern cloud data platforms, advanced analytics, and artificial intelligence initiatives. You can grow into roles such as Senior Data Engineer, Data Architect, Cloud Data Architect, Analytics Lead, or Technical Delivery Leader. Through continuous learning, certifications, and hands-on project experience, you will build highly sought-after skills in data engineering and digital transformation.
Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important, you have a growth mindset and are eager to drive your own personal and professional development. You are customer-focused, prioritize customer success, and naturally collaborate across diverse teams and stakeholders.
Being You
The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That’s The Kyndryl Way.
What You Can Expect
Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.
From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next.
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Singapore, South West, Singapore
What You Can Expect Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
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