Senior Data Engineer I

Posted 3 Days Ago
Be an Early Applicant
4 Locations
In-Office
Senior level
Information Technology • Legal Tech • Professional Services • Analytics • Business Intelligence
The Role
Design, build, and maintain scalable data pipelines, ingestion, ETL/ELT, warehousing and orchestration. Modernize data foundations for analytics and AI, optimize cloud workloads (AWS/Azure), improve data quality, observability, performance and governance, and collaborate with data scientists and engineers to enable ML and agent-based workflows.
Summary Generated by Built In

About the team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

About the role

As a Senior Data Engineer, you will deliver high quality analytics and AI ready data by modernising core data foundations, ingestion, ETL/ELT, integration, warehousing, orchestration, curation, and operational reliability—while improving automation, performance, and scalability. You will partner with our AI Hub and international engineering teams to drive best practice patterns from enterprise warehousing through to AI ready capabilities that enable LLM, retrieval, and agent-based workflows.

Responsibilities 

•    Designing, building, and maintaining scalable data pipelines and data products.
•    Building shared ingestion, integration, transformation, and curation foundations across structured and unstructured sources.
•    Implementing warehouse and storage patterns that provide reliable, reusable, and governed access to data.
•    Raising operational excellence across the data estate (performance, reliability, maintainability, and supportability).
•    Migrating and running data workloads on cloud platforms, optimising for cost and scalability.
•    Developing pragmatic tooling and architecture decisions within organisational, security, and budget constraints.
•    Creating data assets and access patterns that enable analytics, ML, and agent-based experiences.
•    Collaborating with Data Scientists and Software Engineers to deliver AI use cases, applying strong quality, observability, testing, and documentation practices while contributing standards and mentoring.

Requirements 

•    Have at least 5+ years of experience in a production Data Engineering role with strong ownership of data pipelines, databases, and test driven development. 
•    Have proven experience designing and operating enterprise data pipelines, ETL/ELT workflows, orchestration, and warehousing solutions. 
•    Have solid understanding of production grade data quality, observability, security, governance, and performance optimization. 
•    Have advanced expertise in database design and data modelling (normalized and dimensional), following architectural best practices. 
•    Be proficient in SQL as a primary language, with experience in C# or Java; Python and PySpark are beneficial. 
•    Have experience managing databases across on prem and cloud environments, including both structured and unstructured (text heavy) data. 
•    Have solid experience with cloud data platforms on AWS and/or Azure, including data lakes, warehousing, orchestration, governance, and retrieval oriented tooling. 
•    Be familiarity with big data and distributed systems (e.g. Spark), orchestration tools (Airflow), streaming technologies (Kafka), and cross functional collaboration, including writing and reviewing technical specifications.

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 flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
•    Medical Aid
•    Retirement Plan inclusive of Risk Benefits (Disability, Critical Illness, Life Cover & Funeral Cover)
•    Modern family benefits, including adoption and surrogacy
•    Study Leave

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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Skills Required

  • 5+ years of experience in a production Data Engineering role with ownership of data pipelines, databases, and test driven development
  • Proven experience designing and operating enterprise data pipelines, ETL/ELT workflows, orchestration, and warehousing solutions
  • Production-grade data quality, observability, security, governance, and performance optimization experience
  • Advanced expertise in database design and data modelling (normalized and dimensional)
  • Proficiency in SQL as a primary language
  • Experience with C# or Java
  • Experience with Python and PySpark
  • Experience managing databases across on-prem and cloud environments, including structured and unstructured text-heavy data
  • Solid experience with cloud data platforms on AWS and/or Azure (data lakes, warehousing, orchestration, governance)
  • Familiarity with big data/distributed systems (e.g., Spark), orchestration tools (Airflow), and streaming technologies (Kafka)
  • Experience applying test-driven development, observability, testing, and documentation practices

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.

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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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