Data Engineer – Process Mining

As a Data Engineer specializing in process mining at Brainlab, your key responsibilities will include designing and developing data pipelines, maintaining the Celonis Process Mining implementation, collaborating with cross-functional teams to analyze business requirements, and optimizing data models for enhanced performance.

To qualify for the Data Engineer role at Brainlab, candidates should possess a Bachelor's degree in Computer Science or Engineering, proven experience in data engineering with a focus on process optimization, proficiency in SQL, and familiarity with process mining tools like Celonis. Strong programming skills in languages such as Python or Java are also essential.

At Brainlab, professional development for Data Engineers is a priority. The company offers comprehensive training and continuing education opportunities to help you stay at the forefront of industry best practices, especially in data engineering and process mining.

Yes, the Data Engineer position at Brainlab offers flexible working hours and a hybrid work model within Germany, ensuring a good work-life balance while you contribute to meaningful projects in medical technology.

Data Engineers at Brainlab can expect to be part of a mutually-supportive, international team. The company promotes a collaborative atmosphere that encourages problem-solving and innovative thinking, all dedicated to achieving excellence in healthcare technology.

When answering this question, focus on specific projects where you've designed and implemented data pipelines. Highlight the technologies you used, challenges you faced, and how you ensured data integrity and performance.

Provide examples of how you've used process mining tools in previous roles, discussing the insights gained and how you drove process improvements using the available data.

Discuss a specific scenario where you encountered a data issue, detailing the steps you took to analyze the situation, the solutions you implemented, and the outcome, emphasizing your problem-solving skills.

Explain the methodologies and tools you use to validate data integrity. Discuss practices like data profiling, regular audits, and how you collaborate with team members to maintain high data quality.

Share specific instances where you've worked with different stakeholders. Discuss the importance of effective communication and how you contributed to achieving common goals.

Mention the resources you utilize for learning, such as industry publications, webinars, online courses, and networking within the data engineering community to keep your skills current.

Detail your proficiency in programming languages relevant to the job. Discuss how you've used languages like Python or Java for data engineering tasks, providing concrete examples of your work.

Highlight key competencies such as data modeling, proficiency in SQL, programming skills, problem-solving abilities, and communication skills. Relate these skills to the specific requirements of the Data Engineer position.

Describe your systematic approach to monitoring data pipelines, including the tools you use and the indicators you watch for potential failures, as well as your methodology for diagnosing and resolving issues quickly.

Express your enthusiasm for Brainlab's mission and innovation in healthcare. Discuss how your skills align with the company’s values and how you are excited to make a meaningful impact through the Data Engineer role.