Data Engineer

The Digital Customer Solutions department at Accelleron is developing performance and condition-based maintenance solutions. We are looking for a dedicated, motivated, and highly skilled Data Engineer with strong Python skills and extensive experience in building from scratch, maintaining and automating data pipelines. The candidate will be part of an agile team responsible for developing analytics solutions based on operational sensor data from a wide range of applications in various industries such as marine, power generation and locomotive. This data is the foundation to develop and provide advanced, value-adding analytic solutions for our external and internal customers.

Your Responsibilities:

• Drive development of data transformation and management systems.
• Continuously improve existing systems to maintain required performance.
• Design, implement and maintain the appropriate APIs and solutions to ensure that the analytics team can query time-series and transactional data.
• Manage, monitor, and improve our workflow automation data pipelines with tools such as Apache Airflow.
• Support the Data Science team in accessing needed data.
• Proactively search for components in the data collection and analysis processes that need adjustments and build improvements.
• Ensure the scalability of the developed solutions with proper infrastructure (e.g. Cloud-based), in collaboration with the frontend and backend developer teams.

Your Background:

• 3-4 years of experience in data engineering/software development and academic background in S.T.E.M.
• Advanced Python, SQL, and Bash knowledge - any other language is a plus
• Worked with cloud services, preferably MS Azure
• Experience in building and automating data pipelines
• Familiarity with Apache Airflow is a strong plus
• Experience with time series databases (e.g. InfluxDB) is a strong plus
• Hands-on experience with relational databases (e.g. PostgreSQL)
• Fluent in English (written and spoken)