Working Student Data Engineer - Remote
About the Role
We are hiring a Working Student Data Engineer to join our Data Engineering team. This role offers a unique opportunity to work remotely while contributing to meaningful projects focused on sustainability. As a Working Student Data Engineer, you will be responsible for data transformation, normalization, and analysis of our customers' data. This position is perfect for those looking to gain practical experience in data engineering while working in a mission-driven start-up environment.
What You'll Do
- Transform structured and unstructured customer data into standardized data formats.
- Contribute to the development of transformation pipelines that enhance data processing efficiency.
- Address data-related questions from customers, providing insightful solutions.
- Collaborate with a diverse international team to achieve project goals.
- Engage in professional growth opportunities within an expanding team.
Requirements
- Knowledge of data engineering concepts and practices.
- Ability to work with both structured and unstructured data.
- Strong analytical skills to interpret complex datasets.
- Good communication skills to effectively collaborate with team members and clients.
- Interest in sustainability and environmental issues.
Nice to Have
- Experience with data transformation tools and technologies.
- Familiarity with programming languages such as Python or SQL.
- Previous internship experience in data analysis or engineering.
What We Offer
- Equity opportunities in a fast-growing business.
- Flexible working hours to accommodate your schedule.
- A fully remote working environment that promotes work-life balance.
- Collaboration with an international team of sustainability experts.
- Professional growth opportunities to advance your career.
This role offers a fantastic opportunity for students to gain hands-on experience in data engineering while working remotely. The focus on sustainability adds a unique aspect to the internship.
Who Will Succeed Here
Proficiency in Python and SQL for data manipulation and transformation, with hands-on experience in libraries like Pandas and SQLAlchemy to effectively manage and analyze large datasets.
Ability to work independently in a remote environment, demonstrating self-discipline and proactive communication skills to collaborate with a diverse team while managing time effectively.
Strong analytical mindset with a focus on sustainability, enabling the candidate to approach data problems with creativity and an understanding of the environmental impact of data-driven decisions.
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