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This role is focused on Data Platform Engineering — not data engineering. While familiarity with Spark, Flink, and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself, not just authoring data pipelines.
What you’ll do and learnOwn and deliver major components of eBay’s Data Platforms — from design through production rollout.
Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
Contribute to long-term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
Build systems that balance latency, correctness, and cost while ensuring security and compliance.
Drive operational excellence for services you own, including observability and incident response.
Collaborate across product, infra, and analytics teams to align execution with business needs.
Learn and grow in areas like governance, orchestration, and privacy engineering.
Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
Ability to independently deliver complex projects from requirements to production.
Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
Strong communication skills to influence cross-team technical outcomes.
Growth mindset with curiosity to learn new technologies.
Impact at scale: powering global analytics and ML systems.
Challenging problems: streaming, freshness/correctness, and multi-cloud resiliency.
Collaborative culture that values inclusion and knowledge sharing.
Support & growth: flexibility, benefits, and career development resources.
Focus on reliability and sustainable on-call practices.
8+ years of distributed systems or data platform experience.
Proven ability to design and deliver critical systems with impact.
Proficiency in Java/Python, CI/CD, and containerized environments.
Hands-on expertise in tools like Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, NoSQL/columnar stores.
Experience in streaming and batch data platforms.
Strong foundation in algorithms and distributed design.
BS/MS in CS or equivalent experience.
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Requisition Id : 1637346
EY is looking for Senior Consultant/ Consultant – Digital Factory UI Analyst
Your key responsibilities
Skills and attributes for success
To qualify for the role you must have
Ideally you’ll also have
What we look for
People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions.
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Skills and attributes for success
You are:
To qualify for the role you must have
Some or all of the following are considered desirable, but not mandatory:
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Job Title: MTS 1, Software Engineer
Start Date: January 19, 2026
days per annum , 5 sick days per annum
highly available
deployment
Identify project technical risks and make recommendations to mitigate
Use deep technical proven experience of company systems and applications, which could cover applications, services, systems, or frameworks
a high level of initiative and attention to detail during daily operations
Collaborate effectively with other engineers, product managers, designers, and QA engineers
Encourage peers with high-quality, hands-on technical contributions
methodology , design, and best practices.
Consistently produce high-quality software with a focus on unit testing, regular code reviews, and continuous integration.
high standards in quality and operational excellence.
Develop comprehensive technical documentation and presentations to clearly communicate architectural decisions and design options. Ensure documentation aligns with project scopes, milestones, and deliverables.
Effectively delegate tasks and responsibilities within the team, considering individual skills and workload
Lead the development of prototypes and proof-of-concept implementations for new technologies or approaches.
Required Experience
The language of work is English.
Bachelor of Engineering degree plus 8 or more years of experience ; or MS in Computer Science plus 6 or more years of hands-on experience in developing highly scalable distributed platforms and services and internet scale web application
Highly experienced in application development in JAVA and Kotlin and its related frameworks such as like Spring, Spring Boot, Hibernate, Stream processing platforms such as Kafka and Flink ;
in Oracle ADF 12c Framework, JavaScript , HTML and
in J2EE, SOAP, SOA Services, Design Patterns, OOA/D, Data Structures, XML, REST, JSON, and Internet Protocols ;
in a programming language such as Scala, solid base in data structures, algorithms and a strong understanding of multithreading, synchronization, concurrent programming; deep architectural understanding of system design and lead ing
noSQL data technology such as Mongo , ElasticSearch and related toolset ;
in Spring boot and Hadoop framework ;
in retail and logistics ;
ility to troubleshoot performance bottlenecks in
participating in design and code reviews, coding and unit testing of fault-tolerant applications. Comfortable or have familiarity with all the layers of multi-tier applications to craft complete solutions and maintain products
Solid understanding of computer science fundamentals. Experience in non-functional skills like Security, Load and Performance Tests, Accessibility, Site Speed optimization, Cross-browser /Cross-platform UX Design
Excellent verbal and written communication, leadership, and collaboration skills
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Skills and attributes for success
You are:
To qualify for the role, you must have
Some or all of the following are considered desirable, but not mandatory:
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The Azure Databricks Data Engineer will be instrumental in building and maintaining an optimized data ecosystem using Azure Databricks. You will be responsible for developing and managing data pipelines, ensuring data quality, and enabling advanced analytics capabilities. Your role will involve close collaboration with data scientists, analysts, and other stakeholders to deliver data-driven solutions that support the strategic goals of EY.
Your Key Responsibilities
As a Data Engineer, you will:
Skills and Attributes for Success
To Qualify for the Role, You Must Have
What we offer
We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
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Skills and attributes for success
You are:
To qualify for the role, you must have
Some or all of the following are considered desirable, but not mandatory:
These jobs might be a good fit

Share
This role is focused on Data Platform Engineering — not data engineering. While familiarity with Spark, Flink, and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself, not just authoring data pipelines.
What you’ll do and learnOwn and deliver major components of eBay’s Data Platforms — from design through production rollout.
Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
Contribute to long-term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
Build systems that balance latency, correctness, and cost while ensuring security and compliance.
Drive operational excellence for services you own, including observability and incident response.
Collaborate across product, infra, and analytics teams to align execution with business needs.
Learn and grow in areas like governance, orchestration, and privacy engineering.
Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
Ability to independently deliver complex projects from requirements to production.
Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
Strong communication skills to influence cross-team technical outcomes.
Growth mindset with curiosity to learn new technologies.
Impact at scale: powering global analytics and ML systems.
Challenging problems: streaming, freshness/correctness, and multi-cloud resiliency.
Collaborative culture that values inclusion and knowledge sharing.
Support & growth: flexibility, benefits, and career development resources.
Focus on reliability and sustainable on-call practices.
8+ years of distributed systems or data platform experience.
Proven ability to design and deliver critical systems with impact.
Proficiency in Java/Python, CI/CD, and containerized environments.
Hands-on expertise in tools like Kafka/Flink, Spark, Delta/Iceberg, Kubernetes, NoSQL/columnar stores.
Experience in streaming and batch data platforms.
Strong foundation in algorithms and distributed design.
BS/MS in CS or equivalent experience.
These jobs might be a good fit