Position: Data Engineer
Company: N-iX
Category: Data Engineer
Experience required: 2y
English level: upper

**N-iX** is an international company with Ukrainian roots that helps businesses across the globe develop successful software products. Founded in 2002, N-iX has come a long way and increased its presence in six countries spanning Europe and the US. Today, we are a strong community of 1,700+ professionals and a reliable partner for global industry leaders and Fortune 500 companies. N-iX is actively hiring in Poland and has an office in Krakow.

**Our customer** is an American Fortune 500 company - a leading Maintenance Repair & Operating provider and the 10th largest North American E-commerce player. More than 3.2 million customers rely on our products in categories such as safety, material handling, and metalworking, along with services like inventory management and technical support. ​
Our Technology Group supports over 1000 applications across the network and operates in an agile environment to create complex solutions quickly and seamlessly. GTG is a team of 500+ and is comprised of Infrastructure and Operations, Security, Insights, Data Engineering and Analytics, and Platform and Product Engineering and are built in a way to support our dynamic customer landscape.

**Your role: **
You will join our Insights, Data Engineering & Analytics (IDEA) team. The team's primary mission is to enable analytics and reporting by centralizing and integrating high-quality, trusted corporate data in a performant and scalable cloud analytical platform.
You will be responsible for helping design and develop data pipelines and products. You will work with SMEs, architects, analysts, data scientists, and others to build solutions that integrate data from many of our enterprise data sources. 

**Responsibilities:**
• Enable analytics and reporting by centralizing and integrating high-quality, large, complex data sets in a highly performant and scalable cloud analytical platform
• Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Build required tools for optimal extraction, transformation, and loading of data from various data sources
• Build frameworks, standards & product features to enable self-service analytics
• Partner with stakeholders including data, design, product, and executive teams and assist them with data-related technical issues

**Requirements:**
• 2+ years of experience with Python 3.x
• SQL experience (ideally Snowflake)
• Experience with Docker, K8s
• Experience with AWS
• Familiarity with developing POCs on large and complex data sets
• Experience with Modern Data Engineering projects and practices: designing, building, and deploying scalable data pipelines
• CI/CD understanding
• Upper-intermediate level of English

**Nice to have:**
• Airflow experience and building DAGs
• Experience with DBT

**We offer:**
• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Flexible and personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Paid vacation days, sick leaves, and days off
• Healthcare & Sport program
• Medical insurance
• Memorable anniversary presents
• Corporate events and team buildings