Senior Data Engineer (Scala/Spark)

auticon is a German-Norwegian social enterprise with a powerful mission: to empower individuals on the autism spectrum by integrating their extraordinary talents into technical and IT-related roles. The company has over 15 years of experience partnering with businesses to leverage unique cognitive abilities such as attention to detail, logical thinking, and precision that neurodivergent individuals bring to the workplace. auticon creates an inclusive, autism-friendly work environment where the majority of consultants are on the autism spectrum.

• Strong knowledge of Scala and Apache Spark.
• Experience with GitHub.
• Basic knowledge of Python and Apache Airflow.
• Familiarity with Jira and Confluence.
• Experience working in a Scrum environment.
• Good command of English for effective communication in an international environment.

Nice to have:

• Experience with Google Cloud Platform (GCP).
• Knowledge of JUnit, TDD, or BDD.
• Experience with Jenkins.
• Understanding of Clean Code, SOLID, KISS, DRY principles, and design patterns.
• Experience with Elasticsearch.
• Hands-on experience with at least one cloud platform: GCP, AWS, or Azure.
• Secure Code Warrior certifications.

• Design and develop data pipelines on Google Cloud Platform (GCP) using Scala and Apache Spark.
• Analyze and process data within one of the world's largest Data Lakes.
• Develop and execute tests using Apache Airflow.
• Maintain and enhance existing code, including testing, refactoring, and bug fixing.
• Collaborate with software engineers and stakeholders across Poland, the UK, and China.
• Participate in the full software development lifecycle, from planning to production deployment.
• Support Product Owners in refining technical requirements and backlog items.
• Share knowledge and contribute to team growth and development.
• Work in a Scrum environment and continuously improve team processes.