Middle Data Analytics Engineer

N-iX; Poland; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flexible work options

Mentorship program

Tech talks and trainings

Centers of excellence

Job summary

N-iX is seeking a Middle Data Analytics Engineer to design production-grade pipelines powering large-scale curated training sets for AI deals. You will work with BD, data science and engineering teams to translate requirements into scalable metadata models and DBT solutions.

The role emphasizes implementing automated curation processes, ensuring accuracy at scale and collaborating on timelines and technical deliverables across multiple teams.

Qualifications

• 3–5 years of analytics or data engineering experience.
• Strong SQL, query optimization, and Snowflake expertise.
• DBT experience preferred; ability to build scalable pipelines.

Responsibilities

• Collaborate with BD, data science and engineering to capture requirements.
• Map requirements to metadata and apply data modelling for scalability.
• Build and optimize DBT models handling large data volumes (up to 1B rows).
• Refine models with QA to ensure accurate datasets at scale.
• Automate data curation processes and improve throughput.
• Coordinate with Business Development to define timelines and technical work.

Skills

SQL

Snowflake

Data engineering

Code reviews

Analytics

Tools

DBT

BigQuery

Python

ClickHouse

Job description

Middle Data Analytics Engineer

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.
• 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.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing