CASY-MSCCN Jobs

Lead Data Engineer - SQL Server, Oracle, Python, Hadoop, ETL

Do you enjoy leading a team that develops high-quality code?

Are you A highly visible champion with a ‘can do’ attitude and enthusiasm that inspires others?

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 the Role:

This is a Lead Data Engineer /Software Engineering Lead role where you will be responsible for overseeing and guiding a team of Software Engineer, Data Engineers and QAs specialising in Data Ingestion. In addition to writing code on complex systems and applications, this position provides direction on project plans, schedules, and methodologies. The role will be 25% hands on and 75% people management.

Responsibilities

• Writing and reviewing portions of detailed specifications for the development of system components of moderate complexity.

• Working closely with other development team members to understand moderately complex product requirements and translate them into software designs.

• Mentoring and/or train entry-level software engineers as directed by department management.

• Managing and encourage new ideas from staff to foster improvements through innovations

• Serving as the initial point of escalation for software development issues within specific area of responsibility

Requirements

• Have experience of working with Databases for e.g. SQL Server, MYSQL, Hadoop, Oracle or any other RDBMS.

• Be able to partner and lead internal and external technology resources in solving complex business needs

• Be able to demonstrate proficiency with data manipulation language including optimization techniques.

• Be able to collaborate, support and drive team members to deliver on results, providing technical and professional guidance

• Be able to design and work with complex data models.

• Have experience working with with Data ingestion, but not limited to standard ETL techniques.

  Women in Tech: LexisNexis Risk is very supportive of women in Technology and has been a founding signature for the Tech Talent Charter. Currently 27% of our Technology workforce are women which is much higher than the UK average of 17%. We have the following initiatives in place to support women in technology: Mentoring scheme for women in technology Women’s network forum Women in Technology Employee Resource Group (ERG) LexisNexis Risk Solutions proudly support the tech talent charter. Learn more about the LexisNexis Risk team and how we work here (https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000)

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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 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.office.com/r/eVgFxjLmAK .

Please read our Candidate Privacy Policy (https://www.relx.com/careers/join-us/privacy) .

RELX is a global provider of information and analytics for professional and business customers across industries.

We help scientists make new discoveries, lawyers win cases, doctors save lives and insurance companies offer customers lower prices. We save taxpayers and consumers money by preventing fraud and help executives forge commercial relationships with their clients.

In short, we enable our customers to make better decisions, get better results and be more productive.