Senior Marketing Data Engineer

Senior Marketing Data Engineer

Are you creatively minded yet data and insight-driven?

Do you enjoy being part of a team that works with a diverse range of products / technology?

About the Business :

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience.

Our solutions 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.

You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com

About our Team :

The Marketing Analytics team provides marketing data analytics support to all the businesses with the Business Services vertical of LexisNexis Risk Solutions.

About the Role :

As a Senior Marketing Data Engineer, you will play a critical role in driving data-driven marketing initiatives. You will be responsible for designing, implementing, and maintaining scalable data pipelines, ensuring high-quality data ingestion, transformation, and integration.

Your expertise in data engineering, marketing analytics, and data management will contribute to the organization's marketing strategies and decision-making processes.

You will be responsible for :

• Performing data pipeline development; designing, developing and maintaining robust, scalable and efficient data pipelines for marketing data ingestion and processing.
• Developing and maintaining marketing-specific databases, ensuring seamless integration with other systems.
• Marketing Database Development : designing and optimizing marketing databases to store and retrieve large volumes of data efficiently.
• Implementing database schemas, tables, and indexes tailored to the specific needs of marketing campaigns and analytics.
• Implementing data governance policies and best practices to ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, CCPA).
• Collaborating with legal and compliance teams to handle sensitive data responsibly.
• Performing all other duties as assigned.

Qualifications :

• Have Bachelor's or Master's in Computer Science, Information Technology, or a related field.
• Have 3+ experience in data engineering, with a focus on marketing data.
• Have expertise in data modeling, ETL processes, and data warehousing concepts.
• Have familiarity with cloud platforms like AWS, Azure, or Databricks. Have knowledge of database systems (SQL, NoSQL) and data integration tools.
• Have proficiency in programming languages such as Python, Java, or Scala.
• Have experience with big data technologies like Hadoop, Spark, or similar.
• Have excellent problem-solving and communication skills.

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

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers.

We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture.

Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.

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.

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 : https : / / forms.

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