Position: Middle/Senior Data Engineer
Company: N-iX
Category: Data Science
Experience required: 3y
English level: upper

N-iX is looking for experienced Data Engineer to join the global team behind the largest and most trusted software marketplace. Every month, 5.5 million people come to our customer to inform smarter software decisions based on honest peer reviews. Authenticity is our client's focus, and every day they help thousands of companies, and hundreds of employees, propel their potential. Ready for meaningful work that starts and ends with compassion and heart? You’ve come to the right place.

About the Role:

As a Data Engineer, you will accelerate the growth of our Client's business. You will help by harnessing, monitoring, and governing data that they collect and bring it together through event frameworks and ETL(s) to ensure it is trusted. The data will need to be monitored and governed well so that it can be trusted.

You Will:
•  Build data pipelines and own data quality for data flow
•  Apply new data models that provide intuitive analytics to internal customers
•  Interface with internal data consumers to understand data needs
•  Service data requests both for new datasets and quality check requests
•  Contribute to the design of complex solutions across multiple systems
•  Introduce code patterns for the team to follow and use new libraries, as needed
•  Write automated testing of data processing algorithms
•  Mentor and pair with other data engineers to share knowledge across the team
•  Document the data created for how it should be consumed to further build trust in data

Requirements:
•  3+ years of experience
•  Proficient working knowledge of data warehousing, data architecture and dimensional modeling
•  Proficient in SQL (PostgreSQL, AWS Redshift, Athena)
•  Proficient in Python programming experience
•  Expert in custom or structured ETL design, implementation and maintenance
•  Experience working in high performing, agile environment
•  Understand software architectures and how they are applied in context, best practices in more than one language
•  Balance development with collaborative meetings

Nice to have:
•  Degree in Computer Science or a completed Bootcamp
•  Experience with tools like Segment and Google Analytics
•  Git-based version control
•  Data infrastructure built from the ground up before

We offer:
•  Flexible working hours​

​• A competitive salary and good compensation package
•  ​The Best hardware
•  ​A masseur and a corporate doctor​
•  Healthcare & sport benefits
•  An inspiring and comfy office

Professional growth:
•  Challenging tasks and innovative projects
•  ​Meetups and events for professional development
•  An individual development plan

​• Mentorship program

Fun:
•  ​Corporate events and outstanding parties
•  Exciting team buildings
•  ​Memorable anniversary presents
•  ​A fun zone where you can play video games, foosball, ping pong, and more