Data Engineering Lead

Reposted 9 Days Ago
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Shanghai, Shanghai Municipality, Shanghai, CHN
In-Office
Senior level
Information Technology • Legal Tech • Professional Services • Analytics • Business Intelligence
The Role
Lead testing automation and design scalable, AI-enabled ETL/data pipelines. Architect API, integration, performance testing, ensure data quality/governance, mentor team members, and collaborate cross-functionally to support analytics and AI initiatives.
Summary Generated by Built In

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.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

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.

USA Job Seekers:

EEO Know Your Rights.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field
  • Minimum of 7 years experience as a Data Engineer or similar data-centric role
  • At least 3 years leading data engineering projects or teams
  • Experience implementing automated API, integration, and performance testing for data-intensive systems
  • Experience with testing frameworks such as Selenium, Cypress, Playwright, TestNG, JUnit, NUnit, Locust, or PyTest
  • Proficiency in programming/scripting (Python, Java, or Scala) and strong SQL skills
  • Experience testing web and API-based applications using Postman, REST Assured, or SoapUI
  • Knowledge of CI/CD integration for automated testing pipelines
  • Strong background in ETL development, data integration, and database management
  • Experience implementing data quality frameworks, metadata management, and governance practices
  • Hands-on experience designing and leading AI-enabled data solutions (RAG, agent-based architectures), vector databases, and cloud AI integration
  • Strong verbal and written English communication skills and ability to mentor and lead technical discussions
  • Experience with modern data stack technologies such as Kafka and Airflow

LexisNexis Compensation & Benefits Highlights

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

  • Healthcare Strength Healthcare options are often described as comprehensive, spanning medical, dental, and vision coverage alongside life and disability protection. Wellbeing programming such as wellness initiatives and fitness support is also positioned as part of the overall package.
  • Retirement Support Retirement benefits are repeatedly framed as a meaningful component of total rewards through 401(k) matching and access to stock purchase opportunities. Performance bonuses and charitable matching are also included as financial-support features within the broader rewards mix.
  • Leave & Time Off Breadth Time-off offerings are portrayed as broad, including PTO, paid holidays, sick leave, and paid volunteer time. Flexible work arrangements, including remote options and flexible hours, further strengthen the overall rewards experience.

LexisNexis Insights

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The Company
HQ: New York City, NY
10,001 Employees
Year Founded: 1970

What We Do

LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We help lawyers win cases, manage their work more efficiently, serve their clients better and grow their practices. We assist corporations in better understanding their markets, monitoring their brands and competition, and in mitigating business risk. We collaborate with universities to educate students, and we support nation-building with governments and courts by making laws accessible and strengthening legal infrastructures. We partner with leading global associations and customers to collect evidence against war criminals and provide tools to combat human trafficking. LexisNexis Legal & Professional, which serves customers in more than 130 countries with 10,000 employees worldwide, is part of RELX Group, a global provider of information and analytics for professional and business customers across industries.

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