Senior Data Engineer - Workforce Analytics & Snowflake

Alloy Enterprises; Warszawa; On-site; PLN 219,000 - 341,000; Full time

Job summary

Johnson Controls seeks a data engineer/analyst to design and scale analytics-ready data models for Workforce Analytics. You will transform ingested data into trusted Snowflake datasets, collaborating with integration and platform engineers to support HR leadership with scalable insights.

The ideal candidate has 5+ years in data engineering or analytics, strong SQL, and hands-on experience with Coalesce.io or dbt along with Snowflake. Hybrid or on-site work is supported in many regions.

Qualifications

• 5+ years of experience in data engineering or analytics engineering.
• Strong SQL and data modeling knowledge.
• Experience with transformation frameworks like Coalesce.io or dbt.
• Experience with cloud data platforms (Snowflake).

Responsibilities

• Design, develop, and scale robust data models for Workforce Analytics.
• Turn raw ingested data into analytics-ready datasets in Snowflake.
• Collaborate with Data Integration and Platform Engineers on a scalable data ecosystem.
• Translate HR/business requirements into standardized metrics and models.
• Ensure data quality and enable self-service analytics with well-documented datasets.

Skills

Strong SQL skills

Transformation frameworks experience

Analytics engineering experience

Tools

Coalesce.io

dbt

Snowflake

Job description

Johnson Controls seeks a data engineer/analyst to design and scale analytics-ready data models for Workforce Analytics. You will transform ingested data into trusted Snowflake datasets, collaborating with integration and platform engineers to support HR leadership with scalable insights.

The ideal candidate has 5+ years in data engineering or analytics, strong SQL, and hands-on experience with Coalesce.io or dbt along with Snowflake. Hybrid or on-site work is supported in many regions.