Data Engineering Executive
MASLAK / İSTANBUL, TR
Nestlé
Nestlé is the world's largest food & beverage company. We unlock the power of food to enhance quality of life for everyone, today and for generations to come.Nestlé is one of the world’s leading food and beverage company, with 2000 global iconic brands and operating in 188 countries.
At Nestlé we work for unlocking the power of food to enhance quality of life for everyone, today and for generations to come. That is our purpose.
We are the Good food, Good life company. We believe in the power of food to enhance lives. Good food nourishes and delights the senses. It helps children grow healthy, pets thrive, parents age gracefully and everyone live life to the fullest. Good food brings us together. Good food also respects our planet and protects resources for future generations.
Get to know us better at www.nestle.com
Join Nestlé Team and be a Force For Good!
We are currently looking for a Data Engineering Executive to join our Digital Transformation team.
Location: Maslak, İstanbul
Type of contract: Permanent
As a Data Engineering Executive, you will have the following responsibilities;
Designing data infrastructure and preparing data to be analyzed, building complex queries to create “data pipelines”, cleaning data sets, and arranging problems (typically given by data scientists&analytics specialist) in the programmed system.
Point of contact to support and drive best experience for Nestle IT receivers. In this context; Supervise day to day IT data engineering operations while ensuring best quality service and support at best Service Level Agreement for our receivers.
Empower all workforce personas to better collaborate and communicate by embracing the Digital Workplace. Remain continuously aware of today’s technology changes and act as sounding board to aid in the support and deployment of creative solutions with data.
Work with Analytics development team to define how to leverage the End User Solutions to meet their needs.
Focus on secure, compliant, and reliable processes.
Define best way to introduce data technology.
Train all data receivers about data structure and modelling
Understanding business problems and transforming them to data requests
Building logical data models corresponding to business needs
Creating source to target data mapping documents to clarify how to source and transform data.
Creating test scenarios and ensuring data products are implemented in high quality.
Providing and supporting self service BI activities according to the business needs.
Turning data into actionable insights using various big data analytic frameworks.
Presenting the company with data warehousing options based on their technology & storage needs.
Conducting preliminary testing of the warehousing environment before data is extracted.
Extracting company data and transferring it into the new warehousing environment.
Providing maintenance support.
Which profile are we looking for?
Bachelor or Master’s Degree ranging from business administration, economics, management information systems, statistics, mathematics, and computer science
4+ years hands-on experience as a data warehouse management and data engineering development.
Strong business understanding, analytical and problem solving skills.
Advanced knowledge of SQL,PL/SQL,MDX and DAX
Strong data management skills (data warehouse modeling, data preparation, data quality management, data engineering and data visualization)
Experience with BI frontend platforms (Power BI/SAC/ etc.)
Knowledge of agile methodologies.
Broad knowledge of Data Integration technologies ( Web Services, REST API, SQL Replication and Integration Runtime)
General Knowledge of SAP BW (BEX Query)
Experience in at least one ETL & ELT software suite (MS SSIS, Azure Data Factory, etc)
Experience on the Microsoft Azure for Analytics Platforms(Synapse Analytics,Azure Analysis services)
General understanding of Service∏ Delivery Processes
Ability to analyze proposed solutions and Critical thinking within a technical environment
Ability to troubleshoot and solve complex technical problems.
Ability to understand complex business processes, rules and gain business acumen to become a subject matter expert
Willingness to learn new tools, take ownership of projects, and always strive to raise the bar.
Eager to learn.
FMCG know-how is a plus.
Fluency in English, excellent communication, presentation, and documentation skills
What are our employee community values?
Safety, quality, compliance and respect are pillars for our community existence.
Respect is our overaching value in Nestlé. We RESPECT eachother, others, environment and all life around.
We work in a supportive, caring, elevating environment. It is crucial for us to preserve our culture of solidarity.
What are our working values at Nestlé?
Flexible work schedule
Hybrid working
Multinational experience at one of the world’s leading food and beverage company
International and domestic career opportunities
Development opportunities and trainings
Exclusive employee discounts
Employee Assistance Program, 24/7 expert support
Sport benefit program (benefit from more than 350 sport centers)
A paid birthday leave
4 weeks paternity leave
The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, genetic information, veteran status, sexual orientation, or any other protected status, as defined by applicable law. Be a force for good.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Azure Big Data Computer Science Data management Data pipelines Data quality Data visualization Data warehouse Data Warehousing Economics ELT Engineering ETL Mathematics Pipelines Power BI REST API SQL SSIS Statistics Testing
Perks/benefits: Career development Flex hours Team events
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