Data Engineer
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
Offer value
The position combines flexibility with impact, allowing candidates to shape educational technology while working with data.
- Involvement in impactful EdTech data projects
- Opportunities for skill development in data engineering
- Flexible working schedule enhances personal balance
Pros
- Opportunity to work with impactful educational technologies
- Development of data warehousing and pipeline skills
- Flexible working arrangements enhance work-life balance
Cons
- Demanding deadlines within the education sector
- Potential variability in workload and project scope
- Limited details on salary structure may dissuade candidates
Who it's for
Mid-level • Remote or hybrid
Good fit
- Mid-level data engineers
- Tech-savvy professionals interested in education
- Data-oriented candidates comfortable with pipeline development
Not recommended for
- Entry-level professionals or recent graduates
- Those uninterested in technical roles
- Individuals seeking a purely routine work environment
Motivation fit
Key skills
About the job
Hello, fellow data engineers! We are Stellartech - an educational technology product company, and we believe in inspiration but heavily rely on data. And we are looking for a true pipeline detective and zombie process hunter!
Why? Because we trust our Data Platform for daily business decisions. From “What ad platform presents us faster? Which creative media presents our value to customers in the most touching way?” to “What would our customers like to learn the most about? What can make education more enjoyable?”, we rely on numbers, metrics and stuff. But as we are open and curious, there’s a lot to collect and measure! That’s why we need to extend, improve and speed up our data platform.
That’s why we need you to:
- Build and maintain scalable data pipelines using Python and Airflow to provide data ingestion, transformation, and delivery.
- Develop and optimize ETL/ELT workflows to ensure data quality, reliability, and performance.
- Bring your vision and opinion to define data requirements and shape solutions to business needs.
- Smartly monitor, relentlessly troubleshoot, and bravely resolve issues in data workflows, striving for high availability and fault tolerance.
- Propose, advocate, and implement best practices for data storage and querying using AWS services such as S3 and Athena.
- Document data workflows and processes, ensuring you don’t have to say it twice and have time for creative experiments. Sure, it’s about clarity and maintainability across the team as well.
For that, we suppose you’d be keen on
- AWS services such as S3, Kinesis, Athena, and others.
- dbt and Airflow for data pipeline and workflow management.
- Application of data architecture, ETL/ELT processes, and data modeling.
- Advanced SQL and Python programming.
- Monitoring tools and practices to ensure data pipeline reliability.
- CI/CD pipelines and DevOps practices for data platforms.
- Monitoring and optimizing platform performance at scale.
Will be nice to
- Understand cloud services (we use AWS), advances, trade-offs, and perspectives.
- Keep in mind the analytical approach and the ability to consider future perspectives in system design in daily practice and technical decisions
Why You'll Love Working With Us:
- Impactful Work: Your contributions will directly shape the future of our company.
- Innovative Environment: We're all about trying new things and pushing the envelope in EdTech.
- Freedom: flexible role based either remotely or hybrid from one of our offices in Cyprus, Poland.
- Health: we offer Health Insurance package for hybrid mode (Cyprus, Poland) and health corner in the Cyprus office.
- AI solutions — GPT Chat bot/ Chat GPT subscription and other tools.
- Wealth: we offer a competitive salary.
- Balance: flexible paid time off, you get 21 days of annual leave + 10 bank holidays.
- Collaborative Culture: Work alongside passionate professionals who are as driven as you are.
