Position: Senior Data Engineer (Python)
Company: CELUS
Experience required: 5y
English level: upper

**RESPONSIBILITIES**
- Process datasets of different engineering files and formats, identifying their patterns 
- Work with relational databases including retrieving, manipulating, creating, updating, and deleting data and database objects 
- Bring together data from many disparate data sources to a unified source of truth 
- Knowledge and expertise of data modelling techniques and best practices 
- Implement data warehouses of any scale and understanding of data warehousing best practices 
- Perform deep data analysis on multiple database platforms. 
- Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance and innovate solutions and improve process efficiency. 
- Liaise with internal and external stakeholders in order to collect and document technical requirements. 
- Mentor Junior team members and actively help to foster technical development of the team 
- Make key architecture decisions and help design the solution architecture 
- Manage competing priorities simultaneously and drive projects to completion 

**YOUR PROFILE**
-Minimum 4 years of related experience in data engineering, designing and maintaining complex data sources and data ingestion pipelines.
- 3-5 years of experience with Python
- Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
- Expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers. Ability to develop ELT/ETL pipelines to move data to and from data stores
- Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), ideally a Cloud Data warehousing services.
- Strong interest for cloud-based data engineering. Hands-on experience with at least one, and exposure to a variety of leading ETL, database, or data warehousing technologies like Azure, SQL Server, AWS, SSIS, and Redshift
- Hands-on experience on Big data technologies and frameworks. Hive, Spark, Hadoop, SQL on Big Data, Redshift
- Awareness of Data Architecture (Database design, performance optimization)
- Prior experience with Data ingestion tool sets (e.g Airflow) is advantageous
- Deploying within a cloud native infrastructure would be advantageous
- Experience with large scale data processing, data structure optimization and scalability of algorithms is a plus
- Agile-mindset and solution driven way of thinking
- Fluent in written and spoken English

**WE OFFER:**
- An agile, innovative, and open-minded working atmosphere in a great international team, with a flat hierarchy and fast decision-making processes  
- The chance to play a decisive role in shaping the CELUS Engineering Platform and have a direct impact on the electronics industry  
- Flexible working hours, home office opportunities, as well as 24 vacation days + an additional paid Christmas week  
- Support with the visa application and a relocation allowance  
- German or English language classes  
- Our "Best hunter" bonus for bringing new superheroes to the team  
- Knowledge sharing sessions, numerous workshops, and our corporate library (online and offline)  
- Personal development opportunities (courses, lectures, conferences etc.) with a yearly budget of up to 1000 EUR  
- Regular team on-site and off-site events (cooking team buildings, pottery classes, VR gaming, escape rooms, etc.)   
- Monthly metro ticket or parking spaces provided  
- Free snacks, soft drinks and coffee in the office and free lunches in the local canteen  
- A “Qualitrain” gym membership subsidized by us, offering access to 5000 sport and wellness facilities all around Germany, including swimming pools, yoga studios, massage and more