Data Engineering Intern

**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 Data Engineering Intern 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. **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. **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** 1. Application Screening 2. Technical Assessment (SQL/Python) 3. Technical Interview 4. Client Discussion (if required) 5. 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.