Position: Strong Junior/Middle Data Engineer
Company: KnubiSoft
Experience required: 1y
Category: Data Science
English level: intermediate
Published: 2020-01-01T00:00:00+02:00

This includes but is not limited to pipeline design, data governance, security subsystems and enablement of research and frontend developers. You will own the goal of implementing and augmenting a stable, scalable and governed system that enables compoundable research and end user interactivity with corporate performance +/- information. 

**Qualifications: **
- minimum 1 year of backend development experience (Python & C# preferred)
- minimum 2 years of database development experience (SQL preferred)
- degree(s) in Computer Science, Mathematics, Information Systems, Engineering, or equivalent industry experience in advanced data engineering or system architecture
- experience designing and implementing enterprise level systems, especially data pipelines strongly preferred
- strong ability to work independently and collaboratively, prioritize multiple tasks, and execute reliably and efficiently
- solid organizational and time management skills, plus attention to detail 

**The ideal candidate:**
- a strong abstract and critical thinker who is adept at visualizing (MS PowerBI, Tableau, Plotly or similar) and executing practical approaches to translate capabilities into fully operational systems. 
- agility, flexibility, and an ability to operate effectively in highly ambiguous spaces are key attributes. 

**Responsibilities:**
- prototyping, developing, industrializing, and maintaining systems at all levels of the stack and with a focus on backend systems
- iterating with users, stakeholders, and engineers on all aspects of an application’s design and capabilities
- collaboration with other team members to craft quality technical solutions in an open way
- working with engineering leaders to design & implement scalable, resilient system architectures

**Bonus:**
- expertise building cloud based (Azure preferred) as well as on premises systems
- expertise with machine learning, data science, or a math & statistics background
- expertise in Server Side and/or Client Application Engineering
- exposure to DevOps: continuous integration, automated testing, cloud deployments, etc.