Experis UK
Data Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Inside IR35 Rate: £500.00 per day
Duration: 6 Months
Location: UK Remote, occasional travel to London.
Clearance: Active SC Clearance
The Opportunity
We're looking for an experienced SC Cleared Data Engineer to join a large-scale data platform programme responsible for collecting, processing, and analysing vast volumes of customer interaction data.
Working within a collaborative Agile team, you'll help build and maintain modern data products that support analytics, risk assessment, and operational decision-making. This role offers the opportunity to work with large-scale datasets, cloud-native technologies, and modern data engineering practices in a "you build it, you run it" environment.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and data products.
- Process, validate, cleanse, and enrich large datasets from multiple sources.
- Develop and productionise data solutions using Python, Spark, and AWS technologies.
- Create and maintain Jupyter notebooks to support analysis and data engineering activities.
- Collaborate with multidisciplinary teams to deliver data-driven solutions.
- Support the publication, sharing, and consumption of data products.
- Maintain and improve automated data processing workflows.
- Champion testing, automation, reliability, and continuous improvement.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Essential Skills & Experience
- Strong commercial experience with:
- Python
- Spark
- SQL
- Database technologies
- AWS
- Experience building ETL and data transformation solutions.
- Strong understanding of data engineering best practices.
- Experience working with large-scale datasets.
- Knowledge of data modelling, validation, and data quality processes.
- Experience working within Agile delivery environments.
- Familiarity with CI/CD and automated deployment practices.
- Experience supporting and maintaining production data platforms.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable Skills
- Scikit-Learn or Spark MLlib
- AWS EMR
- Apache Airflow
- Jenkins
- Hudi or other open table formats
- Kibana
- Grafana
- Understanding of Data Science principles
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location