Senior Data Engineer

What you will do We are looking for a Data Engineer or Data Analyst with a proven track record of designing, developing, and scaling robust data models that enable impactful Workforce Analytics and insights. You will turn raw, ingested data into clean, trusted, analytics-ready datasets in Snowflake using Coalesce.io. This role is ideal for someone who has designed data models that solve real business problems in complex, large-scale organizations — balancing structure, flexibility, and scalability. You'll partner closely with Data Integration Engineers (ingestion) and Data Platform Engineers (access & security) to deliver a scalable, high-quality data ecosystem for HR and business leadership. How you will do it Data Modeling & Transformation Design and maintain modular, reusable transformation pipelines in Coalesce.io Build analytics-ready Snowflake models (headcount, attrition, recruiting pipelines) Apply best practices for layered architecture (raw → staging → curated) and scalable model design Workforce Data Complexity Model complex HR datasets: employee lifecycle, org hierarchies, job/position structures, recruiting pipelines Handle effective-dated data, slowly changing dimensions, and point-in-time reporting Data Quality & Trust Implement data quality checks and validation logic Ensure accuracy of key workforce metrics; resolve data issues with Integration and Platform teams Performance & Optimization Write efficient, optimized SQL; improve model and query performance Design structures aligned with secure consumption patterns Collaboration & Business Enablement Partner with Integration Engineers on source systems (especially Workday) and Platform Engineers on access models Translate business requirements from People Analytics/HR into data models and standardized metrics Enable self-service analytics through well-documented datasets Development Practices Use Azure DevOps/GitHub for version control and CI/CD Maintain clear documentation for models and logic What we look for Required 5+ years of experience in data engineering or analytics engineering Strong SQL skills (advanced transformations, performance tuning) Hands-on experience with transformation frameworks (Coalesce.io, dbt, or similar) Proven track record designing analytics-ready data models that solve business problems at scale Experience with cloud data platforms (Snowflake preferred) Solid understanding of data modeling concepts (dimensional modeling, SCDs) Preferred Experience with Workforce/HR data (Workday strongly preferred) Experience modeling effective-dated and hierarchical data Exposure to People Analytics use cases Familiarity with data quality frameworks Experience working with sensitive/PII data Our salary The initial basic salary for this position will be in the range of 1 462 500 - 2 285 166 HUF per month. The final offer will reflect your experience, skills, and qualifications relevant to the role. We are committed to fair, equitable, and gender-neutral pay practices. About Us Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. We are committed to diversity and inclusion and believe that different perspectives make us stronger. By encouraging open dialogue and valuing individuality, we strive to be one of the most desirable places to work. #LI-DD1 #LI-Hybrid