Data Engineer

We are looking for a self-driven and collaborative expert with practical experience in data engineering tasks to join our team at Academic Work Finland Oy in Helsinki, Vantaa, Kerava, and other locations. This role involves developing data-based solutions and utilizing data in various projects related to customer service and customer experience. You will work on versatile data projects alongside technical experts and business stakeholders, utilizing Databricks and Spark technologies. The position offers a flexible hybrid work model, the opportunity to develop and deepen skills in these technologies, and the chance to work on the development of services and customer experience that utilize data. The salary is competitive based on Finnish collective agreements.

What We Offer

The benefits, resources, and opportunities we offer to support a positive work experience and long-term growth are listed below:

• Flexible hybrid work model.
• The opportunity to develop and deepen skills in Databricks and Spark technologies.
• Experienced team support.
• The opportunity to work on the development of services and customer experience that utilize data.

What We Expect

The qualities, work ethics, and standards we expect to maintain a productive and respectful workplace are listed below:

• Practical experience in data engineering tasks.
• Experience with the Spark framework.
• Experience with tools such as Databricks Jobs, Airflow, Prefect, or Dagster.
• A suitable lower university degree in information technology, computer science, data science, or statistics.
• Fluent Finnish and English language skills.

Responsibilities

This opportunity is for motivated, responsible individuals eager to learn and thrive in a team-oriented environment, who possess the qualities mentioned below:

• Participate in data projects related to customer service, audit analytics, and customer experience.
• Build and develop data engineering solutions in Databricks and Spark environments.
• Develop and maintain processes related to data processing and transfer.
• Use Python and SQL in data processing and analysis.
• Build and develop workflows related to data orchestration.
• Work closely with other experts and business stakeholders.

How to Apply?

If you are interested in joining the team and taking the next step in your professional journey, please follow the instructions below to submit your application.

Please provide your updated resume, relevant documents, and any other requested information. Applications will be reviewed carefully, and suitable candidates will be contacted for the next steps in the selection process.

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