Data Engineer, People Analytics

at  International Flavors Fragrances

Budapest, Közép-Magyarország, Hungary -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate26 Dec, 2024Not Specified27 Sep, 20245 year(s) or aboveSql,Power Bi,Snowflake,Etl Tools,Automation,Computer Science,Information Systems,Data Engineering,Relational Databases,Python,Data Science,Data ManipulationNoNo
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Description:

Job Summary
We are seeking an experienced HR Data Engineer to join our People Analytics team. This role is critical in building and maintaining our people data infrastructure. The ideal candidate will have a strong background in data engineering, with expertise in setting up APIs, ETL processes, and building data pipelines and tables that support our HR analytics initiatives. You will collaborate closely with the enterprise applications, HRIS, and other data teams to ensure data integrity, security, and compliance with audits. This role will report to the Director of People Analytics.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes for HR data
  • Set up and manage APIs for data integration across various HR systems, with primary focus on Workday.
  • Build and optimize data tables and schemas in our data warehouse (Snowflake)
  • Conduct regular data audits and implement data quality measures.
  • Collaborate closely with enterprise application, HRIS, and other data teams across the organization.
  • Develop and maintain documentation for data processes and architectures.
  • Ensure data integrity, security, and compliance with all relevant regulations and standards.
  • Utilize data visualization tools (e.g., Tableau, PowerBI) to create insightful reports and dashboards that inform decision-making.
  • Support ad-hoc data requests and analytics projects as needed.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
  • Minimum of 5 years of experience in data engineering or a similar role, preferably within HR or People Analytics.
  • Strong proficiency in SQL and experience with relational databases and data warehousing technologies.
  • Familiarity with ETL tools and processes; experience with Snowflake is highly preferred.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Proficiency in Python for data manipulation and automation.

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.
Visit
IFF.com/careers/workplace-diversity-and-inclusion
to learn mor

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes for HR data
  • Set up and manage APIs for data integration across various HR systems, with primary focus on Workday.
  • Build and optimize data tables and schemas in our data warehouse (Snowflake)
  • Conduct regular data audits and implement data quality measures.
  • Collaborate closely with enterprise application, HRIS, and other data teams across the organization.
  • Develop and maintain documentation for data processes and architectures.
  • Ensure data integrity, security, and compliance with all relevant regulations and standards.
  • Utilize data visualization tools (e.g., Tableau, PowerBI) to create insightful reports and dashboards that inform decision-making.
  • Support ad-hoc data requests and analytics projects as needed


REQUIREMENT SUMMARY

Min:5.0Max:10.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Computer science information systems data science or a related field

Proficient

1

Budapest, Hungary