Senior Data Engineer: Build Scalable Pipelines & Models
Summary
Build and maintain scalable data pipelines and models using Python, Java, and SQL to process large datasets and support machine learning workflows.
Join Our Data Engineering Talent Network
Data Science Engineers (3+ Years Experience)
Are you a data professional who thrives on solving complex problems and working with large-scale datasets? We're building a pipeline of exceptional Senior Data Engineers and Data Science Engineers to connect with future opportunities across leading organisations. If you're open to exploring your next move, we'd love to have you in our talent network.
Benefits
- Get connected to exclusive opportunities before they hit the market
- Work with a recruiter who understands your technical skillset and career goals
- Be considered for high‑impact roles across top‑tier companies
- Stay informed about market trends and career opportunities
Key Responsibilities
- Designing, building, and maintaining scalable data pipelines for processing large and complex datasets
- Developing and optimising database structures, data models, and querying strategies
- Working with high‑volume datasets to ensure data availability, accuracy, and performance
- Performing data wrangling and preprocessing to prepare data for analysis and modelling
- Applying feature engineering techniques to enhance model performance
- Supporting or collaborating on the development, testing, and evaluation of machine learning models
Job Experience and Skills Required
- 3+ years' experience in data science or data‑focused engineering roles
- Degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
- Strong programming skills in Python and Java
- Solid expertise in database design, data modelling, and querying
- Proven experience with SQL and working with large datasets
- Hands‑on exposure to:
- Data wrangling and preprocessing
- Feature engineering
- Model evaluation techniques