Data Engineer

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

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.