Middle Data Analytics Engineer

N-iX; Kraków, Wrocław, Warszawa; On-site; PLN 120,000 - 180,000; Full time

Job summary

N-iX is seeking a Middle Data Analytics Engineer to build reusable, production-grade pipelines powering large-scale curated training sets for leading AI labs. You will ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies.

You will work with BD, data science, and engineering teams to understand requirements, map metadata, and develop scalable DBT models that can query billions of rows, while applying robust data modelling practices.

Qualifications

• Strong SQL background and knowledge of query optimization.
• DBT experience preferred.
• Excellent communication skills.
• 3-5 years of analytics/data engineering experience.
• Collaborative, cross-team mindset and ability to review code.

Responsibilities

• Collaborate with BD, data science, and engineering teams to understand requirements.
• Map requirements to metadata and apply data modelling for reusability and scalability.
• Build DBT models capable of querying up to 1B rows efficiently.
• Refine DBT models based on visual QA for accuracy at scale.
• Propose automated solutions to streamline curation and increase scalability.
• Serve as engineering point of contact to manage timelines and technical implementation pieces.
• Expand data curation workflow to support data science approaches within DBT and enhance testing.

Skills

SQL

Communication

Analytics

Code Reviews

Tools

Snowflake

DBT

BigQuery

Python

ClickHouse

Job description

We are looking for a Middle Data Analytics Engineer to build reusable, production-grade pipelines that power our data deals, which are large-scale curated training sets for leading AI labs. You’ll ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies.

Responsibilities:

• Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata.
• Map customer requirements to our existing metadata and apply data modelling practices to maximize reusability and scalability
• Build DBT models that are capable of querying up to 1B rows efficiently
• Refine DBT models based on visual QA to ensure accurate datasets at scale.
• Propose and implement automated solutions that streamline the curation process and increase scalability.
• Serve as the engineering point of contact, partnering with Business Development to ensure accurate timelines, clear requirements, and manage all technical implementation pieces of the workflow
• Assist the expansion of the data curation workflow to accommodate data science approaches within DBT, streamline the review process to ensure a more rigorous statistical approach with more comprehensive testing

Requirements:

• Strong SQL background with an understanding of query optimization and Snowflake experience.
• DBT experience preferred.
• Great communication skills.
• 3-5 years of experience in analytics/data engineering.
• Perform code reviews and collaborate with the team to create an optimized ecosystem.

Nice to have:

• BigQuery.
• Python.
• ClickHouse.
• Experience delivering projects in an operational environment.
• Interest in data science to aid the understanding of customer use cases.
• Interest in photography, music and video creation.