Data Engineer

Adecco

London, UK

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£104,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Clean Code Principles Artificial Intelligence Data Analysis Big Data Computer Engineering Data Architecture Information Engineering Data Integration Extract Transform Load (ETL) Data Security Data Visualization Python (Programming Language)

+6 more

Query Optimization SQL Databases Unstructured Data Data Processing Information Technology Data Pipelines

Job description

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., * 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.

Requirements

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