About the business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. We are a fast-growing division of the RELX Group, and the convergence of many industry-leading solutions are providing LexisNexis Risk with significant opportunity for future growth. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/

About our team: This Data Engineering role is within our Enterprise Data Intelligence team which is focused on providing broad support across LexisNexis Risk for data analytics and business intelligence. The role will deliver solutions across multiple stakeholder groups utilizing various datasets within our business.

About the job:  As a Data Engineer IV within our squad, you will play a pivotal role in driving our data engineering initiatives, ensuring data reliability, and contributing to the success of our projects.

You will be responsible for:

• Leading complex data integration tasks to ensure smooth data flows.

• Collaborating with squad members and stakeholders to define project requirements.

• Developing efficient and clean code adhering to best practices.

• Creating and maintaining detailed specifications for data components.

• Addressing complex data engineering issues and bugs, employing root cause analysis.

• Identifying and implementing opportunities for automation and process improvements.

• Applying data modeling and ETL expertise to shape data structures effectively.

• Mentoring and providing guidance to junior data engineers.

• Staying updated on emerging data engineering technologies and trends.

• Ensuring compliance with data quality standards, best practices, and data security measures.

Qualifications:

• Proficiency in agile software methodologies

• Strong expertise in data manipulation languages and optimization techniques.

• In-depth knowledge of normalized/dimensional data modeling principles.

• Ability in multiple data storage subsystems.

• Mastery of development languages including SQL, HPCC ECL, Python, PySpark, and others

• Ability to work effectively with internal and external technology resources.

• Knowledge of test-driven development.

• Proficiency in Git for central code management.

• Experience querying MySQL, SQL Server, or Azure Synapse databases.

• Understanding and ability to parse XML blob data.

• Proficiency in automation and efficiency-enhancing tools such as Azure Data Factory.

• Exceptional problem-solving, research, attention to detail, and communication skills.

Women in tech:

LexisNexis Risk Solutions is supportive of women in Technology and has been a founding signature for the Tech Talent Charter. We have the following initiatives in place to support women in technology:

• Mentoring scheme for women in technology,

• Women’s network forum, regularly run events for schools about careers in technology to inspire the next generation of girls in technology.

Learn more about the LexisNexis risk team and how we work here

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