Job description
- Transforming the marketing data platform into a microservices architecture by designing and building the constituent marketing data products
- Managing and providing technical leadership to a small team of engineers
- Building metrics and rules to track data quality for key marketing attributes and drivers, aiming to improve customer experience and trust
- Maintaining the data catalog to ensure data is consumable and easy to understand by a wide range of consumers so they can derive its value
- Building dimensional data modelling to ensure it is interoperable and can be reused for extending other core data sets and entities
- Working with internal cross-functional customers to understand data needs and provide guidance on data flows to ensure requirements are met
- Engaging data engineering and architecture teams across Elsevier to showcase innovative solutions, and guide internal teammates on implementing best practices
- Offer good experience and current knowledge with our tech stack: Python, Snowflake, AWS, Git, and illustrate knowledge in DBT
- Have knowledge of marketing domains, with emphasis on building data processing pipelines for verification, standardisation, and contact match and merge
- Demonstrable experience building and managing technical teams, with a successful track record of setting and achieving ambitious objectives
- Experience and fluency with master data management, data optimization and governance
- Have good experience building scalable relational data models and schemas, combined with practical application of data structures and warehousing concepts
- Have practical knowledge in Data Mesh and Data Products as well as Data Privacy Procedures
- Be a great and effective communicator who can build trust and manage relationships with various stakeholders locally and globally
- Be able to illustrate expertise with agile engineering practices such as TDD, Pair Programming, Continuous Integration, automated testing and deployment
- Willing to work in our local London or Amsterdam office approximately 1-2 days per month
- 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
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Long service awards
- Save As You Earn share option scheme
- Travel Season ticket loan
- Maternity, paternity and shared parental leave
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts via Perks at Work
When you work with us, your work matters. You are part of an organization that nurtures your curiosity to stimulate innovation for the communities that we serve.
Growing Every Day
Like the communities we serve, you are on a constant path of discovery to shape your career and personal development.
Colleagues Who Care
You will be part of the Elsevier family. We will support your well-being and provide the flexibility you need to thrive at work and home.
Together, we create possibilities.
Join us
Elsevier is 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:
About Elsevier
CEO: Kumsal Bayazit
Revenue: $2 to $5 billion (USD)
Size: 5001 to 10000 Employees
Type: Subsidiary or Business Segment
Website: www.elsevier.com
Year Founded: 1880