Data Analytics Engineer - Scalable DBT Pipelines (Remote)

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

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.