Senior Data Engineer, Marketing

Sr. Data Engineer

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.

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 programming languages common to data processing workflows (e.g., Python, Java) and expert knowledge of one or more analytics tools (Power BI, Tableau, etc.)

Demonstrated ability of working on multiple projects in a deadline driven environment.

Demonstrated experience in data modelling.

Demonstrated system engineering / analytical / problem solving skills.

Required Leadership Traits and Characteristics

Collaborative, Analytical, Problem Solving, Achievement Mindset, Growth Mindset, Ability to be thrive in the face of ambiguity and challenge.

Formal Education, Qualifications or Training

B.S. degree in Computer Science or other technical or quantitative field.

5-7 years experience in data engineering, or related field.

Base Pay Range $92,700 - 120,500 USD Annual / year. While starting pay falls within the given range, it can vary based on factors like geographic location, skills, education, and experience. Total earnings may also be affected by overtime, incentives, commissions, performance, and route assignment (where applicable).

Why Choose Us? A career with the Rentokil family of companies can be a professional trajectory filled with opportunity. We pride ourselves on being a world-class team that rewards high performance, and we love to promote from within. We offer competitive pay and many of our roles offer performance incentives. Below you'll find information about some of what we have to offer. All Full-Time Colleagues qualify for the following and Part-Time Colleagues qualify for most benefits after they meet certain criteria.

Multiple avenues to grow your career

Training and development programs available

Tuition Reimbursement benefits (for FT Colleagues)

Health and Wellness

Full-time colleagues are eligible to begin enrollment immediately upon hire with benefits starting on day 1

Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more

Savings and Retirement

401(k) retirement plan with company-matching contributions

Work-Life Balance

Vacation days & sick days

Company-paid holidays & floating holidays

A company mindset that prioritizes health, safety, and flexibility

We are looking for individuals who want to make a difference where our customers live and work. Is that you? This company is a Drug Free workplace. Rentokil is committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities.

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