Data Engineering Lead

Posted:
1/25/2026, 4:12:08 PM

Location(s):
Shanghai, China ⋅ Shanghai, Shanghai, China

Experience Level(s):
Senior

Field(s):
Data & Analytics

Are you a champion for continuous improvement?

Do you love collaborating with teams to solve complex problems?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

About the Role

We are seeking an experienced Data Engineer Lead to drive testing automation, build and scale robust, AI-enabled data pipelines, and promote strong collaboration across teams. The ideal candidate brings expertise in API, integration, and performance testing, solid experience with ETL and data quality, and the ability to lead projects that support analytics and AI-driven use cases.

Responsibilities

  • Testing Automation
    • Lead initiatives for automated API testing, ensuring reliable and scalable APIs that support data and AI workloads.
    • Architect and implement integration testing solutions to validate end-to-end data flows, including AI and analytics pipelines.
    • Oversee performance and load testing to ensure system scalability, reliability, and high availability.
  • Data & AI-Enabled Pipeline Management
    • Design, implement, and maintain ETL processes that support traditional analytics as well as AI-enabled data solutions.
    • Ensure data quality through rigorous validation, monitoring, and governance strategies across structured and unstructured data.
    • Build and optimize scalable data pipelines to support AI use cases such as feature engineering, embeddings, and RAG-based workflows.
  • General Responsibilities
    • Collaborate with cross-functional teams including product, engineering, analytics, and AI/ML teams to deliver shared objectives.
    • Communicate data and AI architecture, pipeline designs, and technical strategy to both technical and non-technical stakeholders.
    • Lead and mentor team members, fostering a collaborative, high-performance, and innovation-driven environment.
    • Stay current with emerging data and AI technologies to drive continuous improvement and platform modernization.

Requirements

  • Testing Automation Experience
    • Demonstrable experience implementing automated API, integration, and performance testing for data-intensive systems.
    • In-depth knowledge of testing frameworks, tools, and CI/CD integration.
    • Ability to troubleshoot, optimize, and scale automated testing processes.
  • Data Pipeline & AI Enablement Expertise
    • Strong background in ETL development, data integration, and database management.
    • Experience implementing data quality frameworks, metadata management, and governance practices.
    • Exposure to AI-enabled data solutions, including data preparation for ML/GenAI, vectorized data, or RAG-style architectures.
  •  Collaboration & Communication
    • Proven track record of cross-functional collaboration and technical project leadership.
    • Excellent verbal and written communication skills, with the ability to clearly articulate data and AI-related concepts.
    • Ability to mentor team members and lead initiatives with a strong focus on teamwork, ownership, and innovation.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • Minimum of 7 years of experience as a Data Engineer or in a similar data-centric role.
  • At least 3 years of experience leading data engineering projects or teams.
  • Proven experience working with automation frameworks such as Selenium, Cypress, Playwright, TestNG, JUnit, NUnit, Locust or PyTest
  • Strong programming/scripting skills (e.g., Python, Java, or Scala) along with proficiency in SQL.
  • Experience testing web and API-based applications using tools like Postman, REST Assured, SoapUI
  • Solid understanding of test automation architecture, framework design, and best practices
  • Hands-on experience designing and leading AI-enabled data solutions using frameworks such as RAG and agent-based architectures, including integration with data pipelines, vector databases, and cloud-based AI services.
  • Strong verbal and written English communication skills, with the ability to clearly articulate complex data and AI concepts, lead technical discussions, collaborate with global stakeholders, and produce high-quality technical documentation.
  • Experience with modern data stack technologies (e.g., Kafka, Airflow) is a plus.

Additional Attributes

  • Proactive and solution-oriented mindset with a keen attention to detail.
  • Ability to thrive in fast-paced and dynamically changing environments.
  • Strong analytical skills with the ability to turn data insights into actionable strategies.
  • Commitment to maintaining high standards of data integrity and security.

Work in a way that works for you

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for you:

"We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

•      Medical and Life Insurance: Coverage for Medical and life risk.

•      Long-Service Award: Recognition for loyalty and dedication.

•      Marriage and New Baby Gifts: Celebratory tokens for special life events.

•      Festivals and Birthday Gifts: Spreading joy on occasions that matter.

•      Annual Medical Check-up: Prioritizing employee well-being through regular health check-ups.

•      Flexible Benefits via CIIC Platform: Personalized benefits accessible through a user-friendly platform.

•      Paid Time Off: Annual Leave, Flex Family Care Leave, Birthday Leave, Marriage Leave, Compassionate Leave, Medical and Hospitalization Leave, Examination Leave Gazetted Public Holiday

•      Family Care leave (Maternity/Paternity Leave and Adoption Leave)"

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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RELX

Website: https://www.relx.com/

Headquarter Location: London, England, United Kingdom

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Industries: Analytics ⋅ Business Information Systems ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Insurance ⋅ Risk Management