Join Our Team as a Data Engineer
Are you looking for a dynamic environment where you can work enthusiastically on software for interactive dashboard and analytics applications to improve education? Then we are the company for you!
About Us
TIG is a company with an informal and entrepreneurial work atmosphere, where good ideas quickly lead to concrete actions. We are a software development organization focusing on developing and implementing solutions for delivering management information, data visualization, and analytics for education. Our data warehouse, dashboard, and analytics solutions help schools transform data into meaningful information, providing access to the right insights for making informed decisions. This means more time for education, which is our ultimate goal as an information provider for education.
TIG is part of Sanoma, a leading technology company in the educational services market, facilitating tomorrow's education with distinctive ICT applications, services, study materials, and advice. Daily, more than 2 million students, teachers, and educational supporters use our systems and learning environments.
Your Role as a Data Engineer
As an experienced Data Engineer, you will contribute to delivering high-quality data models. Your tasks will include various aspects of data source integration, data storage, data processing, and integration. You will develop, improve, and maintain the data infrastructure for analytical purposes. You will design and build data models and the corresponding mapping of source data to our data warehouse. You are responsible for the construction, usability, and quality of the datasets. Additionally, you stay informed about market developments regarding new tools and techniques, focusing strongly on data security and privacy.
What You Bring
- At least 3 years of work experience in a similar role
- Extensive experience with ETL processes, SQL, and building and maintaining data warehouses and scalable systems in combination with the cloud
- Experience with data modeling and Kimball methodology
- Structured work approach, documentation where necessary, and ensuring standards to maintain a uniform working method within the team
- Professional level knowledge of the Dutch language
- Experience with Databricks, SCRUM, Agile, PowerBI & Azure DevOps is a plus
- Experience with Delta Lake and Unity Catalogs is a plus
- Experience with Python, PySpark, and SparkSQL is a plus
- Experience with DBT is a plus
- Knowledge of education and data within education is a plus
- Proactive, enjoys challenges, and contributes to a pleasant open atmosphere with respect for colleagues and clients
What We Offer
We are a company with a beautiful ambition and an informal atmosphere with short lines and a development plan for every employee, focused on personal ambitions. At TIG, satisfied and ambitious employees form the basis for growth. For our customers, for you as an employee, and for the continuity of our company. Naturally, our primary and secondary employment conditions are excellent, and by working at TIG, you make a concrete contribution to socially relevant themes. But above all, we offer you a challenging job with a lot of responsibility in a dynamic organization. An environment where you are continuously challenged and where we work together to achieve great results.
- Employment (32-40 hours), location Deventer
- Flexible work hours, remote work (50% of the time) is possible
- Extensive range of training and development opportunities
- Travel expense reimbursement
Ready to Apply?
If you are interested in this challenge as a Data Engineer and/or want to learn more about the possibilities, we would love to hear from you. Join us in shaping the future of learning and helping teachers support all students to reach their potential.
Sanoma Learning is an equal opportunity employer; we are committed to inclusion and diversity, ensuring equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics.
Benefits Extracted with AI
- Flexible work hours
- Remote work options (50% of the time)
- Comprehensive training and development opportunities
- Travel expense reimbursement
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