Data Engineer

Job Title: Senior Data Engineer – Marketing & Communications

Team: Analytics & Ops (CMG Shared)

Location: EMEA

Duration: 16th April 2027

Salary: £104,000 per year

Position Summary

As a Data Engineer in the Marketing & Communications organization, you will work across a global family of applications serving billions of individuals and hundreds of millions of businesses. You will design, build, and optimize large-scale data sets and analytical solutions that directly shape global marketing programs and campaigns.

This role requires strong end-to-end execution—you will be expected to drive projects independently from initial architecture to final implementation rather than simply completing pre-defined tasks.

Key Responsibilities

• Data Engineering & ETL (80%): Solve complex data integration problems by designing, developing, and optimizing high-performance ETL pipelines. Process structured and unstructured data across massive datasets (billions of rows) while evaluating system performance and operational cost-benefit trade-offs.
• Dashboards & Analytics (20%): Build and maintain key dashboards and visualization tools to provide actionable insights for marketing initiatives.
• Cross-Functional Collaboration: Partner directly with Marketing, Communications, and Data Science teams to translate business requirements into technical architectures and analytical solutions.
• Data Security & Quality: Implement robust privacy and security safeguards, establish proper governance models, and resolve underlying data quality issues.
• AI Tool Integration: Leverage modern AI tools and automated techniques to streamline daily workflows and improve development efficiency.

Minimum Qualifications

• Experience: Solid years of experience in data-focused roles (Data Engineer, Data Scientist, Data Analyst, or similar).
• Core Technical Skills: Proven expert-level proficiency in SQL and Python for daily data manipulation and pipeline development.
• Data Architecture: Extensive experience with data modelling, ETL frameworks, data visualization, and query optimization techniques.
• Scalability: Demonstrated ability to write scalable, resource-efficient code designed to handle massive, large-scale data systems.
• Education: Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.

Preferred Qualifications

• Prior experience working within Marketing Analytics or Marketing Technology (MarTech) environments.
• Practical experience applying AI-assisted tools to optimize coding and engineering workflows.