Job Location
Istanbul
Job Description
Job Description
The Data Engineer is responsible for the overall design, implementation, and maintenance of systems required for efficient and reliable data processing. This role involves leveraging data analytics tools and digital twin models to extract insights and knowledge from large and complex datasets. The Data Engineer will utilize various techniques, including statistical analysis, artificial intelligence, machine learning, and data visualization, to support data-driven decision-making processes. Drive all aspects of collecting, analyzing, integrating, modelling, processing, and refining data from different sources across the P&G ecosystem and external sources as needed by your product team or area.
Responsibilities
- Data Pipeline Development: Design, develop, and maintain data pipelines to ensure the efficient and timely flow of data from various sources into the data infrastructure.
- Data Integration and Transformation: Perform data integration and transformation tasks to ensure data consistency, quality, and compatibility across different systems and platforms.
- Data Analysis and Modeling: Analyze large and complex datasets using statistical techniques, identify trends, patterns, and correlations, and develop models to support decision-making processes.
- Data Exploration: Conduct exploratory data analysis to discover hidden patterns, trends, and insights that can add value to the organization's operations and decision-making processes.
- Data Infrastructure and Cloud Technologies: Contribute to the design and development of data infrastructure, leveraging cloud technologies and implementing best practices for data storage, security, and scalability.
- Bonus: AI, Machine Learning, and Predictive Modeling: Apply artificial intelligence and machine learning algorithms to develop predictive models that enable proactive decision-making and improve operational efficiency.
- Bonus: Power BI visualization expertise
What we offer you
- Inspiring and Hybrid Work Environment – At P&G, colleagues become friends, creating a sense of belonging and caring for each other in our fun and inclusive work environment. You will be a force for good and force for growth by positively impacting our local and global communities through corporate efforts in Community Impact, Equality and Inclusion and Environmental Sustainability.
- Making an Impact as of Day 1 – Our culture of accountability is unique. You will be trusted with bigger responsibilities from the start, managing teams and leading projects throughout your career!
- Continuous Learning and Growth – You will have an exciting role in a global company with the opportunity to partner with senior leadership whilst growing your career.
- Feeling Valued and Rewarded – With our top-notch and pioneer people systems, you will be financially rewarded for your impact; enjoy competitive benefits and feel your wellbeing is taken care of with our flexible work arrangements. Please visit https://www.pgcareers.com/benefits for more information.
Job Qualifications
Job Qualifications
- Bachelor's or Master's degree in Engineering, Data Science, or a related field.
- Early on experience in data engineering.
- Strong knowledge of data analysis, data modeling, and statistical techniques.
- Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing.
- Fluency in Turkish and English languages (both written and spoken).
- Strong knowledge of Azure Databricks, Azure Data Factory, Azure SQL DB, and Azure Synapse is required.
- Experience in setting up and managing CI/CD pipelines for data engineering projects (preferably in GitHub Actions).
- Proficiency in Python and PySpark is an adventage.
- Experience with data visualization tools such as PowerBI.
- Familiarity with AI and machine learning concepts and frameworks.
Immigration Sponsorship is not available for this role.
Please apply by submitting your CV in English!
Watch this video to learn about our recruitment process: https://www.youtube.com/watch?v=0bicvbpy0gI
At P&G #weseeequal
We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.
Job Schedule
Full time
Job Number
R000107581
Job Segmentation
Experienced Professionals (Job Segmentation)
Top Skills
What We Do
Procter & Gamble Company is an American multi-national consumer goods corporation.
P&G was founded over 180 years ago as a soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands, including Always®, Charmin®, Braun®, Fairy®, Febreze®, Gillette®, Head & Shoulders®, Oral B®, Pantene®, Pampers®, Tide®, and Vicks®.
The design, development, growth and success of these products—and many more—is thanks to the innovative and insightful minds of our people. From Day 1, you’ll help make everyday life easier for our 5 billion consumers through billion dollar brands. With our large global footprint, there are many opportunities to work with P&G in multiple locations.
We offer opportunities in approximately 70 countries and continually aim to attract, reward and advance the finest people in the world. As a "build from within" organization, we see 95% of our people start at an entry level and progress through the organization. Here, we want you to get your career off to a fast start. That's why we don't have any rotational development programs or gradual ramping-up periods: you’ll be able—and encouraged—to dive right in from day 1.
Join us and help make life better through meaningful work that makes an impact from Day 1.
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