Work Force Nexus
Graduate Data Engineer
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Graduate Data Engineer
Location: Remote Employment Type: Full-Time Experience: 0–1 Year
About the Role
We are looking for a motivated Graduate Data Engineer to join our growing Data & Analytics team. This role is ideal for recent graduates passionate about data, technology, and building scalable data solutions.
As a Graduate Data Engineer, you will:
- Collaborate with experienced data professionals.
- Develop, maintain, and optimize data pipelines for business intelligence, analytics, and reporting.
- Gain hands-on exposure to cloud-based data platforms and large-scale data processing environments.
Key Responsibilities
- Assist in building and maintaining data pipelines and ETL (Extract, Transform, Load) processes.
- Support data integration from multiple sources into centralized platforms.
- Monitor data quality and troubleshoot issues.
- Work with structured and unstructured datasets.
- Collaborate with Data Analysts, Data Scientists, and engineering teams.
- Support database maintenance, optimization, and performance monitoring.
- Assist in data warehousing solutions development.
- Create and maintain technical documentation.
- Ensure compliance with data security and governance standards.
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Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
- Basic knowledge of SQL and database concepts.
- Familiarity with Python or another programming language.
- Understanding of data structures and ETL concepts.
- Strong analytical and problem-solving skills.
- Good communication and teamwork abilities.
- Eagerness to learn modern data technologies and cloud platforms.
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Preferred Skills
- Exposure to Power BI, Tableau, or reporting tools.
- Familiarity with Azure, AWS, or Google Cloud.
- Knowledge of data warehousing concepts.
- Academic projects involving data engineering or analytics.
- Understanding of Git and version control.
Benefits
- Structured graduate training and mentorship.
- Hybrid and flexible working options.
- Support for professional certifications.
- Clear career progression opportunities into:
- Data Engineering
- Analytics Engineering
- Cloud Data roles
- Competitive salary and benefits package.
Skills: platforms, data, cloud, data engineering, database, building, analytics
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