Software Engineer - Data Platform

Posted 13 Hours Ago
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Amsterdam, NLD
In-Office
Mid level
eCommerce • Retail
The Role
Build and own core components of a declarative data platform that manages global data flow graphs, automates pipeline generation and optimization, reduces data duplication and compute waste, and ensures scalability, observability, and reliability across thousands of datasets.
Summary Generated by Built In

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

We are looking for Software Engineers to join the Golden Data Sets (GDS) Platform team within eBay's Core Data Platform organization.

The problem we're solving is significant: eBay currently manages over ten thousands of  loosely defined datasets with fragmented pipeline implementations, resulting in widespread data duplication, redundant compute, and runaway operational costs. The GDS Platform addresses this by building a fully declarative data platform — one that accepts dataset specifications, maintains a comprehensive view of the total data flow graph, and automatically produces optimized pipelines to systematically eliminate these inefficiencies at scale.

As an engineer on this team, you will contribute to the systems that power this platform — from computation graph management to pipeline optimization and dataset lifecycle. Your work will directly reduce operational waste across eBay's data infrastructure.

Note: This is a Data Platform Engineering role. Familiarity with Spark, Flink, and the Hadoop ecosystem is useful context, but your primary responsibility is building the platform itself — not authoring pipelines.

What You’ll Do and Learn
  • Build and own core components of eBay’s declarative data platform, enabling automated generation and optimization of data pipelines at scale

  • Design and evolve systems that manage the global data flow graph, including dataset definitions, dependencies, and execution planning

  • Develop platform capabilities for computation graph management, pipeline optimization, and dataset lifecycle orchestration

  • Engineer solutions that systematically reduce data duplication, redundant compute, and operational inefficiencies across thousands of datasets

  • Contribute to long-term platform architecture through design reviews and architecture documents, ensuring scalability, correctness, and resilience

  • Build platform systems that balance performance, cost efficiency, and data correctness, while enforcing governance and compliance requirements

  • Drive operational excellence for platform services, including observability, reliability, and incident response

  • Collaborate with product, infrastructure, and data teams to standardize dataset definitions and improve platform adoption

  • Develop automation and intelligent tooling to improve platform efficiency, including opportunities to leverage AI/agent-driven optimizations

  • Learn and deepen expertise in areas such as declarative systems, distributed computation graphs, data governance, and large-scale platform engineering

What You Bring
  • Strong experience designing and building large-scale distributed systems or platforms (compute, storage, APIs, or orchestration systems)

  • Proven ability to own and deliver complex platform components end-to-end, from design to production

  • Systems thinking mindset with the ability to reason about data flow, dependencies, scaling bottlenecks, and reliability trade-offs

  • Experience building platform abstractions or frameworks, not just consuming them

  • Strong communication skills with the ability to drive alignment across cross-functional engineering teams

  • Curiosity and growth mindset to explore declarative paradigms, optimization systems, and emerging technologies

What We Bring
  • Opportunity to solve foundational data platform challenges at massive scale, impacting thousands of datasets and pipelines

  • High-impact work focused on eliminating inefficiencies and reducing operational cost across the data ecosystem

  • Deep technical challenges in declarative systems, graph-based execution, and large-scale optimization

  • Collaborative and inclusive culture with strong emphasis on engineering excellence and knowledge sharing

  • Supportive environment with focus on sustainable operations, on-call balance, and long-term growth

Qualifications
  • 4+ years of experience in distributed systems, platform engineering, or data infrastructure

  • Strong proficiency in Java or Python, with experience building production-grade systems

  • Experience with CI/CD, testing, and containerized environments

  • Solid understanding of distributed system design, algorithms, and scalability patterns

  • Familiarity with technologies such as Spark, Flink, or similar systems 

  • Experience working with large-scale data ecosystems or data platforms is a plus

  • BS/MS in Computer Science or equivalent practical experience

Additional Details

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

Additional Details

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.


We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

Skills Required

  • 4+ years of experience in distributed systems, platform engineering, or data infrastructure
  • Strong proficiency in Java or Python with production-grade systems experience
  • Experience with CI/CD, testing, and containerized environments
  • Solid understanding of distributed system design, algorithms, and scalability patterns
  • Experience building platform abstractions or frameworks (not just consuming them)
  • Familiarity with Spark, Flink, or similar data processing systems
  • Experience working with large-scale data ecosystems or data platforms
  • BS/MS in Computer Science or equivalent practical experience

eBay Compensation & Benefits Highlights

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

  • Healthcare Strength Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
  • Leave & Time Off Breadth A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
  • Equity Value & Accessibility Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.

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The Company
HQ: San Jose, CA
26,035 Employees

What We Do

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.

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