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dataroles

Data Engineer - Databricks Platform

Kyndryl Open
Hybrid Singapore, South West, Singapore Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Kyndryl. Singapore, South West, Singapore · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationSingapore, South West, Singapore
WorkplaceHybrid
EmploymentFull-time
PostedOct 29, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain Databricks pipelines, lakes, warehouses and marts with cloud technologies
  • Create and tune ETL and ELT workflows so data stays reliable, accessible and high quality
  • Bring together data from different sources while applying security, governance and compliance controls
  • Develop backend data services and APIs for analytics and data-powered applications
  • Coordinate with architecture, delivery, development and analytics teams, using Agile practices and code reviews

What you bring

  • Hands-on Databricks, Spark, SQL and Python experience designing and building data engineering solutions
  • Experience delivering ETL or ELT pipelines on AWS, Azure, GCP or another listed cloud
  • Knowledge of data architecture, including warehouses, lakes, marts, virtualization and distributed processing
  • Experience with relational and non-relational databases, cloud storage, data quality, security and governance

Who this fits

This mid-level role suits you if you have practical Databricks engineering experience and work well across technical and business teams. The listed location is Singapore.

From the employer

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

Your 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.


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.
  • Integrate data from multiple sources, ensuring scalability, compliance, security, and adherence to data governance standards.
  • Develop backend data services and application programming interfaces (APIs) to support data-driven applications and analytics solutions.
  • Collaborate with Data Architects, Business Analysts, Project Managers, Developers, and Analytics teams to deliver business-focused data solutions.
  • Support Agile delivery practices, continuous integration, code reviews, and operational excellence across the data platform lifecycle.

Your Future at Kyndryl


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.


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).
  • Strong knowledge of data warehousing, data lakes, data marts, data virtualization, and modern data architecture principles.
  • Experience working with relational and non-relational databases, cloud storage platforms, and large-scale distributed data processing frameworks.
  • Understanding of data governance, security, access controls, data quality management, and regulatory compliance requirements.
  • Familiarity with Agile development practices, application programming interfaces (APIs), version control, continuous integration, and collaborative software engineering methodologies.

Preferred Skills and Experience

  • 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.
  • Exposure to web data extraction and automation technologies.
  • Understanding of data modelling, analytics platforms, and business intelligence solutions.
  • Relevant cloud or Databricks certifications.


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.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.