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Design and deliver distributed systems supporting ingestion, streaming, storage, and governance for eBay’s Data Platform.
Develop services and APIs that power scalable data management and access across multiple clouds.
Contribute to architecture design reviews, ensuring scalability, reliability, and cost efficiency.
Drive operational excellence through observability, automation, and continuous improvement.
Collaborate with analytics, infrastructure, and product teams to align technical delivery with business goals.
Learn and grow in advanced areas such as orchestration, governance, and privacy engineering.
5+ years of experience designing and developing distributed systems or data platforms.
Proficiency in Java or Python , with experience in containerized environments and CI/CD practices.
Hands-on experience with Kafka , Flink , Spark , Delta/Iceberg , and modern data stores (NoSQL or columnar).
Strong understanding of distributed systems fundamentals — performance, reliability, and fault tolerance.
Proven ability to independently deliver complex projects from design to production.
Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience.
Shape the future of eBay’s Core Data Platform powering global analytics, AI, and ML workloads.
Tackle challenging distributed systems problems — scalability, freshness, and multi-cloud reliability.
Join a collaborative, inclusive culture that values curiosity, craftsmanship, and continuous learning.
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As a on the Dublin team, you’ll play a key role in building, optimizing, and maintaining our Hadoop-based data warehouse and large-scale data pipelines. This is a hands-on engineering role where you’ll collaborate closely with data engineers, analysts, and platform teams to ensure our data platforms are scalable, reliable, and secure.
What you will accomplish
Design, develop, and maintain robust, scalable data pipelines using Hadoop and related ecosystems.
Implement and optimize ETL processes for both batch and streaming data needs across analytics platforms.
Collaborate cross-functionally with analytics, product, and engineering teams to align technical solutions with business priorities.
Ensure data security, reliability, and compliance across the entire infrastructure lifecycle.
Troubleshoot distributed systems and contribute to performance tuning, observability, and operational excellence.
Continuously learn and apply new open-source and cloud-native tools to improve data systems and processes.
What you will bring
6+ years of experience in data engineering, with a strong foundation in distributed data systems.
Proficiency with Apache Kafka, Flink, Hive, Iceberg, and Spark SQL in large-scale environments.
Working knowledge of Apache Airflow for orchestration and workflow management.
Strong programming skills in Python , Java (Spring Boot) , and SQL across various platforms (e.g., Oracle, SQL Server).
Experience with CI/CD, monitoring, and cloud-native tools (e.g., Jenkins, GitHub Actions, Docker, Kubernetes, Prometheus, Grafana).
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
The cool part
Work on one of eBay’s most impactful data infrastructure platforms, supporting global analytics and insights.
Join a collaborative, innovative engineering culture that embraces open-source and continuous learning.
Solve complex, high-scale data challenges that directly shape how eBay makes data-driven decisions.
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What you will accomplish
Lead the architecture and technical direction for eBay’s next-generation Core Data Platform.
Design and develop distributed backend systems for data processing at massive scale.
Optimize real-time and batch data services for performance, availability, and cost efficiency.
Partner with cross-functional teams to deliver end-to-end data solutions that enable AI, search, and marketplace insights.
Champion engineering excellence through automation, observability, and reliable service design.
Mentor engineers and help foster an inclusive, collaborative, and high-performing team culture.
What you will bring
8+ years of experience in backend or distributed systems engineering, ideally within data platform or infrastructure domains.
Proficiency in Java, Scala, or Go , with strong foundations in algorithms, data structures, and system design.
Expertise in distributed data systems such as Kafka, Spark, Flink, or HDFS.
Experience designing and operating large-scale services on cloud platforms (AWS, GCP, Azure, or private cloud).
Understanding of data governance, cataloging, and orchestration frameworks .
Strong communication and collaboration skills, with the ability to influence technical strategy across diverse teams.
The cool part
Shape the future of eBay’s global Core Data Platform, enabling real-time AI and analytics innovation.
Solve complex data challenges at global scale with a team passionate about performance and resilience.
Work in a culture that values craftsmanship, diversity, and open-source collaboration.
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Your key responsibilities
Design, develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from various structured and unstructured sources, ensuring accuracy, consistency and performance optimization.
Architect and manage database systems to support large-scale data storage and retrieval, ensuring high availability, security and efficiency in handling complex datasets.
Integrate and transform data from multiple sources including APIs, on-premises databases and cloud storage, creating unified datasets to support data-driven decision-making across the organization.
Collaborate with business intelligence analysts, data scientists and other stakeholders to understand specific data needs, ensuring the delivery of high-quality, business-relevant datasets.
Monitor, troubleshoot and optimize data pipelines and workflows to resolve performance bottlenecks, improve processing efficiency and ensure data integrity.
Develop automation frameworks for data ingestion, transformation and reporting to streamline data operations and reduce manual effort.
Work with cloud-based data platforms and technologies such as AWS (Redshift, Glue, S3), Google Cloud (Big Query, Dataflow), or Azure (Synapse, Data Factory) to build scalable data solutions.
Optimize data storage, indexing, and query performance to support real-time analytics and reporting, ensuring cost-effective and high-performing data solutions.
Lead or contribute to special projects involving data architecture improvements, migration to modern data platforms, or advanced analytics initiatives.
Skills and attributes for success
A team player with strong analytical, communication and interpersonal skills
Constantly updating yourself about new technologies in the market
A winning personality and the ability to become a trusted advisor to the stakeholders
To qualify for the role, you must have
Minimum 5 years of relevant work experience, with at least 2 years in designing and maintaining data pipelines, ETL processes and database architectures.
Bachelor’s degree (B.E./B.Tech) in Computer Science or IT, or Bachelor’s in Data Science, Statistics, or related field.
Strong expertise in SQL, Python, or Scala for data processing, automation and transformation.
Hands-on experience with big data frameworks such as Apache Spark, Hadoop, or Kafka for real-time and batch processing.
Experience in cloud data platforms including AWS Redshift, Google Big Query, or Azure Synapse, with proficiency in cloud-native ETL and data pipeline tools.
Strong understanding of data modeling principles, relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).
Ideally, you’ll also have
Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.
Be highly flexible, adaptable, and creative.
Comfortable interacting with senior executives (within the firm and at the client)
What we look for
Strong teamwork, work ethic, product mindset, client centricity and a relentless commitment to EY values.
We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
Support, coaching and feedback from some of the most engaging colleagues around
Opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a way that’s right for you
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Make your mark.
Apply now.
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General Information
Available for VISA Sponsorship:Yes
Contract Type:Full Time - Permanent
We are seeking an experienced Data Consultant with a strong background in managing data for Finance and Risk functions, including experience in data governance, processing, storage, quality management and remediation for financial, risk and regulatory change projects, understanding of data compliance requirements, hands on knowledge of relevant systems and tools, and awareness of current industry trends and best practices. The ideal candidate will have consulting experience working for Financial Services clients in Ireland or UK, functional understanding of data sets used in the relevant domains, as well as technical skills such as data modelling and warehousing, database technologies, ETL processing and tools, and proficiency in SQL.
Your Key Responsibilities:
To qualify for the role, you must have:
Ideally, you’ll also have:
What we look for
We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:
Career Progression:
Inclusion & Diversity
We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. You will be embraced for who you are and empowered to use your voice to help others find theirs.
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General Information
Available for VISA Sponsorship:Yes
Contract Type:Full Time - Permanent
We are looking for people with strong Data related Solutioning and Consulting client facing experience, passion for innovation, technology, data, analytics, and AI, where you will provide a consultative service on a variety of data driven decision making projects within a fast-paced consulting environment.
As a Data Architect, you will support our clients in defining and implementing a data journey aligned with their strategic objectives. The responsibilities of the successful candidate will include:
Your Key Responsibilities:
Key Practice and People Development Responsibilities:
To qualify for the role, you must have
Ideally, you’ll also have
What we look for
We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits include:
Career Progression:
Inclusion & Diversity
We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. You will be embraced for who you are and empowered to use your voice to help others find theirs.
These jobs might be a good fit

Share
Job Roles:
Job Qualifications:
These jobs might be a good fit

Design and deliver distributed systems supporting ingestion, streaming, storage, and governance for eBay’s Data Platform.
Develop services and APIs that power scalable data management and access across multiple clouds.
Contribute to architecture design reviews, ensuring scalability, reliability, and cost efficiency.
Drive operational excellence through observability, automation, and continuous improvement.
Collaborate with analytics, infrastructure, and product teams to align technical delivery with business goals.
Learn and grow in advanced areas such as orchestration, governance, and privacy engineering.
5+ years of experience designing and developing distributed systems or data platforms.
Proficiency in Java or Python , with experience in containerized environments and CI/CD practices.
Hands-on experience with Kafka , Flink , Spark , Delta/Iceberg , and modern data stores (NoSQL or columnar).
Strong understanding of distributed systems fundamentals — performance, reliability, and fault tolerance.
Proven ability to independently deliver complex projects from design to production.
Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience.
Shape the future of eBay’s Core Data Platform powering global analytics, AI, and ML workloads.
Tackle challenging distributed systems problems — scalability, freshness, and multi-cloud reliability.
Join a collaborative, inclusive culture that values curiosity, craftsmanship, and continuous learning.
These jobs might be a good fit