Senior Data Engineer: Marketing Analytics & AI

Adecco; Greater London; On-site; GBP 88,000 - 120,000; Full time

Job summary

Adecco is seeking a Senior Data Engineer for the Marketing & Communications organization. You will design, build, and optimize large-scale data sets and analytical solutions that directly shape global marketing programs and campaigns.

This role requires end-to-end execution from architecture to implementation, collaborating with Marketing, Communications, and Data Science teams to translate requirements into scalable pipelines and analytics.

Qualifications

• Experience in data-focused roles (Data Engineer, Data Scientist, Data Analyst, or similar).
• Proficiency in SQL and Python for data manipulation and pipeline development.
• Experience with data modelling, ETL frameworks, data visualization, and query optimization.
• Ability to write scalable, resource-efficient code for large-scale data systems.

Responsibilities

• Data Engineering & ETL (80%): design, develop, and optimize high-performance ETL pipelines across massive datasets.
• Dashboards & Analytics (20%): build and maintain dashboards to provide actionable insights for marketing initiatives.
• Cross-Functional Collaboration: work with Marketing, Communications, and Data Science teams to translate requirements into architectures.
• Data Security & Quality: implement privacy, governance, and data quality improvements.
• AI Tool Integration: leverage AI tools to streamline workflows and improve development efficiency.

Skills

SQL

Python

Data modelling

ETL frameworks

Data visualization

Query optimization

Education

Bachelor’s degree in Computer Science or related field

Job description

Adecco is seeking a Senior Data Engineer for the Marketing & Communications organization. You will design, build, and optimize large-scale data sets and analytical solutions that directly shape global marketing programs and campaigns.

This role requires end-to-end execution from architecture to implementation, collaborating with Marketing, Communications, and Data Science teams to translate requirements into scalable pipelines and analytics.