Stealth Startup
Data Engineering Intern
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Job Title: Data Engineering Intern (Remote – UK Client)
Location: Remote
Duration: 3–6 Months Internship
Working Hours: Flexible (Must be available for overlap with Australian business hours when required)
Stipend: As per company standards
Client Location: UK
About the Role
We are seeking a motivated and detail-oriented Data Engineering Intern to join our client's growing data team. This internship offers an excellent opportunity to work on real-world data engineering projects, gain hands-on experience with modern data technologies, and contribute to building scalable data pipelines and analytics solutions.
The ideal candidate should have a strong interest in data processing, databases, cloud technologies, and data-driven decision-making.
Key Responsibilities
- Assist in designing, developing, and maintaining ETL/ELT data pipelines.
- Collect, clean, transform, and validate large datasets from multiple sources.
- Support the development and optimization of data warehouses and data lakes.
- Work with structured and unstructured data to ensure quality and consistency.
- Monitor data workflows and troubleshoot pipeline failures.
- Assist in integrating APIs and third-party data sources.
- Collaborate with data analysts, software engineers, and business stakeholders.
- Document data processes, workflows, and technical specifications.
- Support data governance, security, and compliance initiatives.
- Participate in code reviews and contribute to process improvements.
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Required Skills
- Pursuing or recently completed a degree in Computer Science, Information Technology, Data Science, Software Engineering, or a related field.
- Basic understanding of SQL and relational databases.
- Knowledge of Python for data processing and automation.
- Familiarity with data structures and algorithms.
- Understanding of ETL concepts and data modeling principles.
- Knowledge of Git/GitHub version control.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
Preferred Skills
- Experience with Python libraries such as Pandas, NumPy, or PySpark.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Exposure to data warehousing solutions like Snowflake, BigQuery, or Redshift.
- Understanding of Apache Airflow, Kafka, Spark, or Hadoop.
- Knowledge of REST APIs and JSON data formats.
- Basic understanding of data visualization tools such as Power BI or Tableau.
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What You'll Gain
- Hands-on experience working with an international client.
- Exposure to modern data engineering tools and technologies.
- Opportunity to work on real-world business datasets.
- Mentorship from experienced engineering professionals.
- Experience in cloud-based data infrastructure.
- Internship completion certificate and performance-based recommendation opportunities.
Selection Process
- Application Screening
- Technical Assessment (SQL/Python)
- Technical Interview
- Client Discussion (if required)
- Offer Release
Technical Skills Keywords
SQL, Python, ETL, ELT, Data Engineering, Data Pipelines, Data Warehousing, AWS, Azure, GCP, Snowflake, Spark, Airflow, Kafka, Git, APIs, Data Modeling, Big Data, Analytics, Cloud Computing.
Employment Type: Internship
Work Mode: Fully Remote
Client Region: Australia
Experience Required: Freshers / Final-Year Students / Recent Graduates Welcome.
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