Data Engineer

The Data Engineer is responsible for building, maintaining and evolving the data warehouse and data mart environments. This includes designing the physical and logical architecture of the data warehouse, designing and implementing a data quality strategy, developing ETLs to extract data from various sources, monitoring the performance of the environment, providing training to end users on best practices for using the ETLs, and resolving any issues that might arise. At Codepan, you would be working together with Data Scientists and Software Engineers to create real world solutions for customers.

As a part of the team, you will…
● work hand in hand with the senior management to develop and lead the technical aspects of the company products and services, combining your hands-on code writing skills with your leadership capabilities
● work in a cross-functional team of software engineers and data scientists in an agile environment
● be one of the key technical decision-makers, and provide technical guidance and mentoring to help members of your team grow
● establish processes, best practices and coding standards in your team and ensure their adherence
● closely collaborate with the product owner and product manager to balance technical value work with feature work (e.g. refactoring, performance improvements)

Your Profile

In terms of skills and experience, you have…
● a University degree in Computer Science, Engineering, or equivalent practical experience
● a minimum of 3+ years of professional experience working as a Data Engineer
● strong experience with Python and the wider corresponding ecosystem
● strong knowledge of the python data stack (i.e. Pandas, numpy, scipy, pyspark)
● proficient in database design and integration of different data sources
● solid experience with Queueing Systems in a production environment
● hands on experience with Azure Databricks, ML-Flow and Azure Machine learning studio and Azure Delta Lake
● knowledge of recent infrastructure ecosystems including cloud technology providers, Kubernetes, infrastructure automation, and are able to work independently on such environments
● proficient written and spoken English language skills

As a plus, you have…
● interest or prior experience in machine learning, manufacturing and IoT
● proficient written and spoken German language skills
● proficiency in machine learning algorithms