Senior inženýr správy dat

Job Description

We are building a next-generation People Analytics function focused on delivering predictive, AI-enabled workforce intelligence at scale.

This role will be foundational in architecting and building the data infrastructure that powers advanced analytics, AI use cases, and strategic workforce decision-making across the enterprise.

This position designs, develops, and maintains workforce data solutions that support People Analytics, workforce intelligence, and AI-enabled decision-making capabilities.

Employees in this role are responsible for building and optimizing data pipelines, integrated workforce data models, semantic layers, and analytics-ready datasets that enable trusted reporting, self-service analytics, predictive insights, and future AI applications. The role partners with HR, analytics, technology, and business teams to deliver scalable data products and ensure the quality, accessibility, and reliability of workforce data.

Responsibilities

• Designs, develops, and maintains workforce data pipelines and integrations across HR, talent, operational, and enterprise systems
• Builds and enhances analytics-ready workforce data models, semantic layers, calculation views, and governed datasets
• Develops and maintains workforce data solutions within an SAP ecosystem (SuccessFactors, SAP HANA, S/4HANA, Power BI), while partnering with broader IT and technology teams to evaluate and leverage additional data platforms in support of AI-enabled use cases.
• Integrates and blends workforce, operational, and enterprise datasets to create enriched, analytics-ready data products that enable actionable, cross-functional insights.
• Applies data science techniques - including statistical modeling, feature engineering, and exploratory data analysis - to support predictive workforce analytics and AI use case development.
• Contributes to the evaluation and strategic roadmap of the People Analytics technology stack, identifying emerging platforms and tools that advance AI-enabled workforce intelligence capabilities.
• Ensures data quality, consistency, lineage, and reliability across People Analytics data assets
• Supports development and maintenance of workforce metrics, KPIs, dashboards, and self-service analytics capabilities
• Partners with HR, analytics, and business stakeholders to understand requirements and deliver scalable data solutions
• Monitors, troubleshoots, and optimizes data pipelines and data infrastructure performance
• Contributes to data governance, metadata management, and workforce data standards
• Supports predictive analytics, workforce intelligence, and AI-enabled analytics initiatives through high-quality data architecture and engineering practices
• Documents solutions, processes, and technical designs to support maintainability and scalability
• May mentor junior team members and contribute to project leadership
• Performs other job-related duties as assigned

In this role, success means:

• Establishing a scalable, trusted workforce data foundation
• Reducing friction between question ??? insight ??? action
• Enabling predictive and AI-driven workforce intelligence
• Increasing adoption of self-service analytics and reusable data products
• Improving trust, consistency, and governance of workforce metrics
• Accelerating the organization's ability to make proactive talent decisions

Job Overview

This position implements and maintains on-premises and cloud-based company and product data infrastructure, including relational databases, non-relational databases and any other data stores required by the company or its products. Employees in this role are responsible for creating processes and implementing software to facilitate management of data including, but not limited to, data pipelines, data catalogs and overall data quality.

Job Duties & Responsibilities

• Manages data acquisition and ingestion
• Manages and optimizes data access
• Designs, plans, implements and supports data infrastructure using both relational and non-relational data management solutions
• Tests, validates and maintains data quality across all parts of data infrastructure
• Maintains and manages data pipelines and data catalogs
• Responds to data extraction requests
• Mentors others or leads teams and/or projects
• May perform database administration-related activities
• Monitors health of data infrastructure
• Performs other job-related duties as assigned

Required Qualifications

• Bachelor's Degree
• Experience: 4+ years

Preferred Qualifications

• None

NextEra Energy offers a wide range of benefits to support our employees and their eligible family members. Click here to learn more.

Employee Group: Exempt
Employee Type: Full Time
Job Category: Information Technology
Organization: NextEra Energy Resources, LLC
Relocation Provided: No

NextEra Energy is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law.

NextEra Energy and provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to [email protected], providing your name, telephone number and the best time for us to reach you.

NextEra Energy will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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