Bright Network Consulting
Data Engineering Intern
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Engineering Intern
Location: United Kingdom
Work Arrangement: Remote
Employment Type: Internship
Experience Level: Entry Level
About the Opportunity
We are seeking a technically minded individual to join one of our client organisations in the United Kingdom as a Data Engineering Intern. This opportunity is designed for students, recent graduates, and emerging technology professionals interested in data platforms, cloud computing, databases, data integration, and pipeline development.
The successful candidate will support practical data engineering initiatives while collaborating with experienced technical professionals. The role provides exposure to modern approaches for collecting, transforming, storing, and delivering reliable data for analytics and business applications.
Role Overview
The Data Engineering Intern will contribute to different stages of data infrastructure development, including data ingestion, transformation, pipeline management, database systems, data quality, automation, and cloud-based processing.
The ideal candidate should have a foundation in Python, SQL, databases, and data processing concepts, with an interest in building efficient and dependable data workflows.
Key Responsibilities
- Assist with collecting and ingesting data from databases, APIs, files, and other sources.
- Support the development and testing of ETL and ELT pipelines.
- Transform and prepare datasets for analytics and downstream applications.
- Develop SQL queries for extraction, transformation, validation, and data quality checks.
- Assist with building repeatable and scalable data workflows.
- Support database design, data modelling, and data warehouse activities.
- Monitor data workflows and help investigate pipeline failures or processing issues.
- Perform checks to identify incomplete, inconsistent, duplicated, or inaccurate data.
- Assist with data migration and integration projects.
- Support cloud-based data storage and processing activities.
- Contribute to workflow scheduling and automation.
- Assist with processing structured and semi-structured datasets.
- Maintain documentation for databases, pipelines, workflows, and technical processes.
- Collaborate with Data Engineers, Data Scientists, Analysts, Developers, and other stakeholders.
- Participate in technical discussions, project reviews, and team meetings.
- Research emerging data engineering technologies and industry practices.
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.
Required Qualifications
- Currently studying towards or recently completed a Bachelor's or Master's degree in:
- Computer Science
- Data Engineering
- Data Science
- Software Engineering
- Information Technology
- Artificial Intelligence
- Computer Engineering
- or a related technical field.
- Basic to intermediate knowledge of Python.
- Understanding of SQL and relational databases.
- Familiarity with data structures and processing concepts.
- Basic understanding of ETL and ELT processes.
- Awareness of data pipeline and workflow concepts.
- Understanding of fundamental database and data modelling principles.
- Strong analytical and problem-solving skills.
- Good communication abilities.
- Ability to work independently and contribute within a remote team.
- Willingness to develop knowledge of modern data technologies.
Technical Skills
Candidates may have exposure to:
- Python
- SQL
- Pandas
- PySpark
- Apache Spark
- MySQL
- PostgreSQL
- SQL Server
- Apache Airflow
- Git and GitHub
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- Data Warehousing
- Data Lakes
- ETL and ELT
- Data Modelling
- REST APIs
- Linux
- Docker
Knowledge of every technology listed is not required.
Preferred Qualifications
- Experience with university, personal, research, or portfolio-based data engineering projects.
- Experience handling structured or semi-structured datasets.
- Familiarity with cloud-based data services.
- Understanding of data warehouse and data lake architectures.
- Exposure to dimensional modelling and database optimisation.
- Familiarity with distributed processing frameworks.
- Experience with workflow orchestration tools such as Apache Airflow.
- Understanding of API-based data ingestion.
- Awareness of batch and real-time data processing.
- Familiarity with Git and collaborative development practices.
- Exposure to scripting and workflow automation.
- Basic understanding of data governance, security, and quality.
- Interest in learning modern data infrastructure technologies.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What You Will Gain
- Practical exposure to data engineering workflows.
- Experience with data ingestion, transformation, and integration.
- Hands-on experience developing data pipelines.
- Opportunity to strengthen SQL and database skills.
- Exposure to data modelling and warehousing.
- Experience with cloud-based data technologies.
- Exposure to automation and workflow orchestration.
- Understanding of how data infrastructure supports analytics and machine learning.
- Experience collaborating with technical professionals remotely.
- Development of technical and problem-solving capabilities.
- Opportunity to build practical data engineering projects.
- Internship completion certificate upon successful completion of the programme.
Candidate Profile
This opportunity may suit candidates who:
- Are studying or have recently completed a technical or engineering-related degree.
- Have an interest in Data Engineering, Cloud Computing, Databases, Big Data, or Data Platforms.
- Enjoy working with programming, systems, and data.
- Are interested in developing reliable data solutions.
- Demonstrate structured thinking and attention to detail.
- Are willing to learn new technologies and frameworks.
- Can work effectively in a remote environment.
- Demonstrate curiosity, initiative, and a commitment to technical development.
Position Details
Position: Data Engineering Intern
Location: United Kingdom
Work Mode: Remote
Experience: Students, Recent Graduates, and Entry-Level Candidates
Focus Areas: Data Engineering, ETL, ELT, Data Pipelines, Cloud Computing, Databases, Data Warehousing, Big Data
“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
Skills
Location