Senior Data Engineer

Posted 10 Days Ago
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Bratislava, SVK
In-Office
40K-63K Annually
Senior level
Other • Security
The Role
Design, build, and maintain Snowflake analytics-ready data models and Coalesce.io transformation pipelines for workforce analytics. Model complex HR datasets (employee lifecycle, hierarchies, recruiting), implement data quality checks, optimize SQL and performance, support secure consumption patterns, collaborate with integration and platform teams, and enable People Analytics stakeholders through documented, reusable, and testable data assets and CI/CD workflows.
Summary Generated by Built In

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

Skills 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 modeling, SCDs, effective-dated data)
  • Use of Azure DevOps or GitHub for version control and CI/CD
  • Experience with Workforce / HR data (Workday 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

Johnson Controls Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson Controls and has not been reviewed or approved by Johnson Controls.

  • Retirement Support Retirement support is positioned as a meaningful part of the package through employer 401(k) matching, repeatedly framed as a strong pillar of the overall rewards mix. The matching contribution is described with specific match levels in multiple places, reinforcing perceived value for long-term saving.
  • Leave & Time Off Breadth Time off is presented as comparatively robust, with multiple paid holiday categories, vacation time, and sick time described as generous or “amazing” in places. Paid time off breadth appears to be a consistent contributor to total rewards attractiveness beyond base pay.
  • Flexible Benefits Benefits are described as broad and customizable, spanning standard medical/dental/vision plus optional add-ons like pet insurance, identity protection, and legal support. Tuition reimbursement is repeatedly highlighted as a high-value option supporting professional development.

Johnson Controls Insights

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The Company
HQ: Chennai
100,000 Employees
Year Founded: 1885

What We Do

At Johnson Controls, we transform the environments where people live, work, learn and play. From optimizing building performance to improving safety and enhancing comfort, we drive the outcomes that matter most. Dedicated to protecting the environment, we deliver our promise in industries such as healthcare, education, data centers and manufacturing. With a global team of 100,000 experts in more than 150 countries and over 130 years of innovation, we are the power behind our customers’ mission. Our leading portfolio of building technology and solutions includes some of the most trusted names in the industry, such as Tyco®, York®, Metasys®, Ruskin®, Titus®, Frick®, Penn®, Sabroe®, Simplex®, Ansul® and Grinnell®.

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