Jobs Companies Johnson Controls Senior Data Engineer

Über diese Senior Data Engineer Stelle bei Johnson Controls

Johnson Controls · Vor Ort · Bratislava-Bratislava-Slovakia

What you will do

We are seeking a Senior Data Engineer to design, build, and maintain the core data models and transformation pipelines that power Workforce Analytics. 

This role is responsible for transforming raw, ingested data into clean, well-structured, and analytics-ready datasets in Snowflake, using Coalesce.io as the primary transformation framework. You will play a critical role in defining workforce metrics, ensuring data quality, and enabling trusted insights across HR, analytics, and business leadership. 

You will work closely with Data Integration Engineers (data ingestion) and Data Platform Engineers (data access and security) to deliver a scalable, high-quality data ecosystem. 

How you will do it

Data Transformation & Modeling (Core Focus) 

  • Design, build, and maintain data transformation pipelines in Coalesce.io 

  • Develop analytics-ready data models in Snowflake (e.g., headcount, attrition, recruiting pipelines) 

  • Apply best practices for:  

  • Modular, reusable transformations 

  • Clear layer separation (raw → staging → curated) 

  • Maintainable and scalable model design 

Workforce Data Modeling 

  • Model complex Workforce / HR datasets, including:  

  • Employee lifecycle (hire → transfer → termination) 

  • Organizational hierarchies 

  • Job and position structures 

  • Recruiting pipelines 

  • Handle challenges such as:  

  • Effective-dated data 

  • Slowly changing dimensions 

  • Point-in-time reporting 

Data Quality & Reliability 

  • Implement and maintain data quality checks and validation logic 

  • Ensure consistency and accuracy of key workforce metrics 

  • Investigate and resolve data issues in partnership with Integration and Platform teams 

  • Build trust in enterprise workforce datasets 

Snowflake Optimization (Data Layer) 

  • Write efficient and optimized SQL for transformation pipelines 

  • Improve performance of models and downstream queries 

  • Design data structures that align with secure consumption patterns defined by the platform 

Cross-Team Collaboration 

Partner with Data Integration Engineers to:  

  • Understand source system structures (especially Workday) 

  • Ensure proper ingestion and schema alignment 

Partner with Data Platform Engineers to:  

  • Align on access models and consumption layers 

  • Support secure and scalable data usage 

Business Enablement 

  • Translate business requirements from People Analytics and HR stakeholders into data models 

  • Define and standardize workforce metrics and business logic 

  • Enable self-service analytics through consistent and well-documented datasets 

CI/CD & Development Practices 

  • Use Azure DevOps / GitHub for version control and deployment 

  • Support CI/CD workflows for transformation pipelines 

  • Maintain documentation for models, logic, and data definitions 

What we look for

Required

  • 5+ years of experience in data engineering 

  • Strong SQL skills (advanced transformations, performance tuning) 

  • Hands-on experience with data transformation frameworks (Coalesce.io, dbt, or similar) 

  • Experience building and maintaining analytics-ready data models 

  • Experience working with cloud data platforms (Snowflake preferred) 

  • Strong understanding of data modeling concepts (dimensional, SCDs, etc.) 

  

Preferred

  • Experience with Workforce / HR data (Workday strongly preferred) 

  • Experience modeling effective-dated and hierarchical data 

  • Exposure to People Analytics use cases and metrics 

  • Familiarity with data quality frameworks and testing approaches 

  • Experience working in environments with sensitive/PII data 

Our salary and benefits

The initial basic salary for this position will be in the range of €3,346 - €5,230 per month, plus a 13th month salary applied after your first 6 months in the job. The final package will reflect your experience, skills, and qualifications relevant to the role. We are committed to fair, equitable, and gender-neutral pay practices.

  • At Johnson Controls, your work comes with benefits that support both your career and your wellbeing.

  • Meal vouchers fully covered by the company.

  • Flexible benefits budget with access to 3,500+ options, including a MultiSport card, medical and wellness services.

  • Extra savings through retail and lifestyle discounts (Benefit+).

  • Allowance for the private kindergarten or nursery to support your family.

  • Flexible working hours and home office days.

  • Allowance for language courses, professional development support, and wellbeing support.

  • On site benefits: massages, distribution of fruits, yoga, psychologist, health month, various events with supporting groups (volunteering activities, branding activities).

  • Seniority benefits - extra monthly financial allowance, medical care and support, wellbeing day.

  • Relocation support with housing allowance if moving to Slovakia

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-Hybrid

#LI-JT1

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Wie sich dieses Gehalt für Data Engineer vergleicht

Diese Stelle zahlt $59,638/yrunter der üblichen Spanne für Data Engineer Stellen.

$101,450 dem Median $161,500 $242,500

Übliche Spanne $127,975–$194,750/yr, aus 1,742 vergleichbaren Data Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Engineer ansehen →

Über Johnson Controls

Johnson Controls: Enhancing the Intelligence of Buildings Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intense

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