Job details

Data Quality Engineer - Digital Marketing (12 months)

The Data Quality Engineer will ensure the accuracy, consistency, and reliability of data across Rentokil Initial's digital marketing platforms. This role will focus on building and implementing data quality frameworks that governance processes within the Google Cloud Platform (GCP) to support analytics and insights.

As part of the Digital Analytics team, the Data Quality Engineer will develop validation processes, troubleshoot data issues, and maintain compliance with global data regulations. By enabling high-quality data, this role will directly support analytics-driven decision-making and improve campaign performance globally

Key Responsibilities

● Data Quality Framework and Validation:

○ Design and implement scalable data quality frameworks to ensure data accuracy, consistency, and completeness across digital marketing platforms.

○ Develop automated validation processes, including integrity checks and error detection, for platforms such as GA4, CRM systems, and social media tools.

● Monitoring and Issue Resolution

○ Establish monitoring tools to track data health and quality, proactively identifying and resolving inconsistencies or errors.

○ Collaborate with data providers, the Data Architect, and analytics teams to address and prevent recurring data issues.

● Data Governance and Compliance:

○ Partner with the Data Architect to establish and enforce data governance policies that align with GDPR and other global regulations.

○ Document and maintain standards for data validation and quality management to ensure consistent application across regions.

● Collaboration and Stakeholder Engagement:

○ Work closely with the Digital Analytics & Insights Manager and other stakeholders to align data quality processes with analytics and reporting needs.

○ Communicate data quality metrics and improvement plans to technical and non-technical stakeholders.

● Continuous Improvement:

○ Stay updated on best practices in data quality management and incorporate new tools and techniques to enhance processes.

● Experience:

○ 3-5 years of experience in data quality engineering, data governance, or a similar role, ideally within a digital marketing or analytics environment.

● Technical Skills:

○ Data Validation and Quality Tools: Proficient in validation and monitoring tools; experience with automated testing frameworks is a plus.

○ Google Cloud Platform (GCP) Expertise: Strong knowledge of GCP tools, including BigQuery and Dataflow, to support data quality processes.

○ SQL Expertise: Skilled in querying and validating data from various sources, particularly in data warehousing solutions like BigQuery.

○ Familiarity with Digital Marketing Platforms: Knowledge of GA4, CRM systems, and social media platforms, with experience ensuring data quality across these channels.

○ Reporting: Experience with data visualisation platforms (e.g., Google Data Studio, Tableau).

● Compliance and Governance:

○ Familiarity with GDPR and global data handling regulations, with experience implementing compliant data quality processes.

Competitive salary and bonus scheme
Hybrid working
Rentokil Initial Reward Scheme
23 days holiday, plus 8 bank holidays
Employee Assistance Programme
Death in service benefit
Healthcare
Free parking

At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute.

We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to (joanna.sharpe@rentokil-initial.com) if you need anything

Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out

Average salary estimate

$72500 / YEARLY (est.)

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$60000K

$85000K

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What You Should Know About Data Quality Engineer - Digital Marketing (12 months), Rentokil Initial Group

Are you ready to dive into the world of data quality as a Data Quality Engineer in Digital Marketing at Rentokil Initial? This exciting role offers you the chance to ensure that the data across our digital marketing platforms is not only accurate but also reliable and consistent. You'll play a crucial role in building and implementing frameworks within the Google Cloud Platform (GCP) that govern our data quality processes. Imagine developing automated validation processes, troubleshooting data discrepancies, and ensuring compliance with global data regulations. Your work will directly support measured decision-making and boost campaign performance on a global scale. With 3-5 years of experience in data quality engineering or data governance under your belt, you're familiar with data validation tools and have strong SQL skills to back it up. Join us in this journey where your contributions will lead to real improvements, and remember: at Rentokil Initial, we celebrate diversity and encourage everyone to bring their authentic selves to the table!

Frequently Asked Questions (FAQs) for Data Quality Engineer - Digital Marketing (12 months) Role at Rentokil Initial Group

What are the main responsibilities of a Data Quality Engineer at Rentokil Initial?

As a Data Quality Engineer at Rentokil Initial, your primary responsibilities will include designing and implementing scalable data quality frameworks to ensure accuracy, consistency, and completeness across digital marketing platforms. You will also develop automated validation processes, monitor data health, resolve data inconsistencies, and collaborate with various teams to enhance data governance and compliance with global regulations.