Senior Data Engineer, Marketing

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We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control and other services across more than 90 countries. We pride ourselves on being a trusted partner to many of the world's leading brands and serve consumer and business customers across multiple industries. We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to "protect people, enhance lives, and preserve the planet."

This role will use sound data engineering principles to implement software and systems to provide data to internal customers with high reliability, quality, and timeliness support of analytics, reporting, and operational functions. Provides capabilities to deliver analytics, reporting, and visualization of complex data and systems. Sr. Data Engineers are expected to be able to work directly with stakeholders and be capable of working on marketing-related IT problems from end-to-end. This role also participates on cross-functional project teams responsible for implementing or enhancing technology.

Key Performance Indicators 

• Quality Attribute assessment of delivered solutions

• Timeliness of delivered solutions

• Application availability of delivered solutions 

• Production incident rate of delivered solutions 

• Platform Health/ Vulnerability Assessments 

Principal Duties and Responsibilities

• Participates with cross functional company project teams responsible for implementing technology.

• Independently develop and maintain new and existing processes for creating and maintaining datasets, data processing solutions, and data storage solutions, with consideration for performance, correctness, and availability

• Works across engineering teams to lead, define, and manage requirements regarding the production and storage of data assets

• Works directly with stakeholders to identify opportunities for analysis and reporting on complex data in solution of business problems

• Develop relational and/or tabular data models to facilitate downstream consumption of data by people or systems

• Collaborate with data scientists and/or architects to aid in productionalizing proof-of-concept models or other data solutions

• Conduct analysis and reporting on complex data

• Build integrations between multiple disparate data sources to facilitate unified views of data

• Provide support for users in diagnosing potential data-related issues

• Monitors environment performance and provides all necessary reporting analysis. 

• Contributes to the completion of project/program milestones. 

• Attends relevant conferences/seminars to remain current on new and upcoming technology. 

• Requires little to no supervision to drive solutions to technical problems

• Actively mentors more junior team members

CANDIDATE SUMMARY

Required Experience 

• Verbal, written and presentation communication skills necessary to communicate with all levels of management and cross functional teams. 

• Experience in requirements development, analysis, allocation, review, tracing, and validation. 

• Experience in product concept development, requirements management, functional analysis

• Knowledge of modern data and platform delivery practices in one or more recognized paradigms (data fabric, data mesh, data warehouse, data lake house, data lake, etc.)

• Knowledge of multiple data delivery and data hosting platforms. (RDBMS, “No SQL”, data query tools, data visualization tools, persistent data models, integration platforms, etc.)

• Experience in working on GCP and other cloud platforms

• Strong understanding of data engineering fundamentals, implementation of modern data platforms, and data modelling characteristics

• Time management, organizational and multitasking skills necessary to work in a fast-paced environment, handling various tasks and changing priorities, while maintaining a high attention to detail and accuracy to achieve daily assignments and goals. 

• Experience in one or more p