Cloud Data Engineer
21 hours ago
Data Architect - Digital Transformation Leader
Description:
We are seeking an experienced Data Architect to lead our digital transformation efforts and design a scalable, flexible data architecture that enables us to make informed business decisions. As a key member of our team, you will be responsible for establishing a strong data foundation that accelerates our journey towards greater data maturity.
About the Role:
The ideal candidate will have expertise in GCP tools (BigQuery, Cloud Storage, Dataflow, and Cloud Composer) for scalable data architecture development. You will partner with our Digital Analytics, Tracking Implementation, and Data Quality teams to align data architecture with business needs and support stakeholders by enabling access to high-quality, actionable data.
Key Responsibilities:
- Design and implement a future-proof data architecture within GCP, supporting the integration of diverse global marketing data sources (e.g., paid search, CRM, social media). Ensure the architecture accommodates evolving needs, including new channels, regions, and data sets.
- Develop a consistent data model for cross-channel marketing analytics, ensuring compatibility with platforms such as GA4, CRM, and digital marketing.
- Design and manage ETL pipelines using GCP tools to automate and optimise data ingestion from marketing platforms. Ensure seamless and efficient data flow into analytics environments.
- Partner with our data quality engineer to implement data governance practices, ensuring consistency, accuracy, and compliance with GDPR, CCPA and other regional regulations. Establish and document clear data standards and integration processes.
Requirements:
- Minimum 5 years in data architecture or engineering, ideally in digital marketing data environments with complex, multi-channel data sources.
- Expertise in GCP tools (BigQuery, Cloud Storage, Dataflow, and Cloud Composer) for scalable data architecture. Strong knowledge of ETL processes and data pipeline optimisation. Experience in unified data modelling for cross-channel marketing analytics. Familiarity with Google Analytics 4, CRM data sources, and major marketing platforms (e.g., Facebook, LinkedIn, Salesforce) and integrating these within GCP.
- Strong understanding of GDPR and data security best practices.
- Bachelor's degree in Computer Science, Information Systems, Marketing Analytics, or a related field (or equivalent experience). Professional Data Engineer, Professional Cloud Architect) are desirable but not essential.
Benefits:
- Competitive salary: £80,000 - £110,000 per annum.
- Hybrid working.
- Rentokil Initial Reward Scheme.
- 23 days holiday, plus 8 bank holidays.
- Employee Assistance Programme.
- Death in service benefit.
- Healthcare.
- Free parking.
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