Adecco
Data Engineer
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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.
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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.
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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.
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