Job Location : Luxembourg
Ferrero is a family-owned company with a truly progressive and global outlook and iconic brands such as Nutella®, Tic Tac®, Ferrero Rocher®, Raffaello®, Kinder Bueno® and Kinder Surprise®.
As the love for our brands continues to grow, so too does our global reach. Represented in 55 countries, with products sold in more than 170, the Ferrero Group is loved by generations around the world.
The secret to our global success? Nearly 35,000 dedicated employees who celebrate care and quality to craft a business, careers and brands we are proud of.
Join us, and you could be one of them.
About the Role :
For our Ferrero Headquarter in Luxembourg , we are looking for an HR Data Engineer who will report to the HR Data Science department's head .
Main Responsibilities :
The incumbent's objective will be to become a key elements' expert resource of the tech stack that HR Data Science department is currently building, with emphasis on :
Creating and maintaining optimal data pipeline architecture;
Assembling large, complex data sets that meet functional / non-functional business requirements;
Identifying, designing and implementing internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.;
Building the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of HR data sources (SAP HR, SAP BW, SuccessFactors, Concur and other HR tools) using SQL and onpremise / cloud big data’ technologies;
Building analytic tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics;
Working with stakeholders to assist with data-related technical issues and support their data infrastructure needs;
Creating data tools for data analyst and data science's team members that assist them in building and optimizing our descriptive and predictive analytics' models;
Working with data and analytics' experts to strive for greater functionality in our data systems;
Being actively involved in different projects;
Working in the relationship with Group and local HR, Finance / Controlling, Legal and IT Departments.
Who we are looking for :
Master’s degree in Computer Science, Informatics, Information technology or any other related fields;
Minimum 8-10 years of work experience in applied Mathematics, Advanced Analytics, Statistics or Modelling preferably within the HR area;
Experience in big data environment and Analytics' projects (descriptive, predictive, prescriptive);
Knowledge of AI, Machine Learning, Natural Language Process (NLP) areas;
Consolidated Program and Project manager experiences;
Work experience within a multinational business environment;
Business acumen with creativity, curiosity and with ability to work independently;
Strong collaborative approach and team player skills;
Ability to speak with and translate findings to business users with little or no technical background;
Attention to detail;
Enthusiasm and commitment to excellence with a result-oriented approach;
A fast learner who rapidly moves up the learning curve;
Ethical and strong personal values.
Experience with SAP HR, SAP SuccessFactors, Concur, SAP BW and other HR tools;
Advanced work SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
Strong analytic skills related to working with unstructured datasets;
A successful history of manipulating, processing and extracting value from large disconnected datasets;
Working knowledge of message queuing, stream processing, and highly scalable big data’ data stores;
Experience in :
building and optimizing big data’ data pipelines, architectures, interface techniques and data sets;
performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement;
building processes supporting data transformation, data structures, metadata, dependency and workload management;
Experience with :
relational SQL, NoSQL databases and big data tools : Hadoop, Spark, Databricks, Hanaconda, Kafka, etc;
integration tool : SAP PO, SAP SCP Integration, Informatica and data pipeline and workflow management tools;
object-oriented / object function scripting languages : Python, R, Java, C++, Scala, etc;Experience with visualization tool Power BI is mandatory, also Tableau and Qlick will be an asset.
Advanced proficiency in written and spoken English;
Any other European language (i.e. Italian and / or French) will be considered an asset.
How to be successful in the role and at Ferrero :
Consumers, quality and care are at the heart of everything we do. So, to be successful at Ferrero, you’ll need to be just as consumer and product centric as we are - dedicated to crafting brilliant results for consumers around the world.