Data Engineer

Posted 5 Days Ago
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Hoofddorp, NLD
In-Office
Senior level
Cloud • Information Technology • Consulting
The Role
Build and maintain scalable ETL/ELT pipelines and data-processing workloads using Databricks, PySpark, Python, and SQL. Develop lakehouse solutions with Delta Lake and Medallion Architecture, integrate structured and semi-structured data, and implement validation, monitoring, orchestration, recovery, and CI/CD. Optimize Spark and SQL performance while supporting production-grade data quality and enterprise data platforms.
Summary Generated by Built In

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

We are looking for a Data Engineer with strong hands-on experience in Databricks, PySpark, SQL, and ETL/ELT pipeline development. The candidate will be responsible for building and maintaining scalable data pipelines and data-processing solutions on a cloud-based data platform.


Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Develop data-processing workloads using Databricks, PySpark, Python, and SQL.
  • Build ingestion and transformation pipelines for structured and semi-structured data.
  • Implement Delta Lake and Medallion Architecture (Bronze/Silver/Gold) patterns.
  • Perform data transformation, validation, reconciliation, and data-quality checks.
  • Optimize Databricks jobs, Spark workloads, and SQL queries for performance.
  • Integrate data from multiple source systems into enterprise data platforms.
  • Develop and maintain pipeline orchestration and scheduling.
  • Implement monitoring, logging, exception handling, and pipeline recovery mechanisms.
  • Support CI/CD and automated deployment of data-engineering workloads.


Who You Are

Must Have: Databricks, PySpark, Python, SQL, ETL/ELT, Delta Lake, data pipeline development.


Preferred: Azure Data Factory (ADF), ADLS Gen2, Azure Databricks, Airflow, Unity Catalog, CI/CD, Git, Terraform and data-quality frameworks.


Experience

  • 4–8 years of Data Engineering experience.
  • Strong hands-on experience with Databricks and PySpark.
  • Proven experience building and supporting production-grade ETL/ELT pipelines.
  • Good understanding of Lakehouse architecture, data modelling, performance optimization, and data-quality practices


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.

Skills Required

  • Hands-on experience with Databricks
  • Hands-on experience with PySpark
  • Experience with Python
  • Experience with SQL
  • Experience with ETL/ELT
  • Experience with Delta Lake
  • Data pipeline development experience
  • 4-8 years of data engineering experience
  • Experience building and supporting production-grade ETL/ELT pipelines
  • Understanding of lakehouse architecture and data modelling
  • Experience with performance optimization and data-quality practices
  • Experience with Azure Data Factory
  • Experience with ADLS Gen2
  • Experience with Azure Databricks
  • Experience with Airflow
  • Experience with Unity Catalog
  • Experience with CI/CD
  • Experience with Git
  • Experience with Terraform
  • Experience with data-quality frameworks

Kyndryl Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kyndryl and has not been reviewed or approved by Kyndryl.

  • Fair & Transparent Compensation — Pay is considered good in some roles, with mentions of “good pay,” “great pay and benefits,” and an “acceptable salary range” paired with bonuses. Certain senior or consulting tracks are described as market-competitive.
  • Leave & Time Off Breadth — Vacation, paid time off, holidays, and a dedicated volunteer day are highlighted as positives. Parental leave exists companywide alongside sick leave and disability coverage.
  • Wellbeing & Lifestyle Benefits — Remote and hybrid flexibility is emphasized, including 100% remote roles and a formal flexible workplace policy. Well‑being resources such as the Be Well program and an EAP are available.

Kyndryl Insights

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The Company
HQ: New York, NY
46,070 Employees
Year Founded: 2021

What We Do

We have the world’s best talent that design, run, and manage the most advanced and reliable technology infrastructure each day. Together, we think holistically about the health of these vital technology ecosystems. We are a focused, independent company that builds on our foundation of excellence by creating systems in new ways. Bringing in the right partners, investing in our business, and working side-by-side with our customers to unlock potential. We're raising the bar. Our experience speaks for itself: We have 90,000 highly skilled employees around the world serving 75 of the Fortune 100. But our purpose is what drives us: Advancing the vital systems that power human progress. Because when a digital ecosystem is healthy, it can more readily adapt and support continuous growth and that opens up a world of possibility for everyone.

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