Unilever is currently hiring for a Data Engineer

　　If you're looking for a great team and a challenging, innovative, fun, and energetic work environment, you are at the right place. We believe that the passion of our employees is our strength, and this is what drives us towards outstanding performance.

　　We aim to provide people the world over with products that are good for them and good for others. Our vision is to develop new ways of doing business with the aim of doubling the size of our company while reducing our environmental impact.

　　Our brands are trusted everywhere and, by listening to the people who buy them, we have grown into one of the world's most successful consumer goods companies. In fact, 160 million times a day, someone somewhere chooses a Unilever product.

　　Unilever (UL) is driving digital transformation to deliver growth agenda. Our mission is to transform our organization to a digital first culture, leaping ahead of our competition in everything we do.

　　We are looking for a Data Engineer who will join Turkey Team which is responsible for the industrial technology projects in line with the global roadmap.

　　JOB PURPOSE:The role is expected to work as a Data Engineer on implementing, maintaining and optimizing high-performance REST APIs, data pipelines and analytic solutions on Cloud (Azure) platform with the purpose of building a structure that acts on data as a consumable product while keeping in mind correctness, freshness and quality of the data.Act as a catalyst enabling data/analytics-driven business decisions across the organization.Serve as the trusted data and analytics consultant to different functions across the organization.Engage with stakeholders to understand the business, problem statement and requirements.Be a part of data expertise team to build diagnostic & predictive models to solve business problems and to create analytical modelling solutions to answer business questionsAcquire, integrate, stage & employ data from multiple data sourcesCleanse data by reviewing data sources to locate and correct code problemsCreate self-service and simple data modelling solutionsWork on data modeling techniques and integration patterns to build a DL from scratchDesigning and implementing automation for manual processes.Ensuring the integrity and accuracy of data mined and analyzed + optimize the data collection and analysis processEngage with stakeholders to understand the business, problem statement and requirements and communicate to all impacted stakeholders any data quality, timing or definition issues discovered (Global and local, internal and external)Holistic data foundation viewKEY REQUIREMENTS:Bachelor or master's degree in engineering or related fieldsGreat communication and collaboration skills and agile mindset, self-organization as an individual and as a teamPassion for continuous learning and transforming self and others around to bring valueCritical thinking & flexibility to effectively work around technical & business constraintsBalanced profile of functional business knowledge/understanding and data/analytics expertiseAt least 2 years of experience in:Gathering and processing raw data at scale (including writing scripts, web scraping, calling APIs, writing SQL queries, etc.)Extracting and dealing with data from multiple data sources (tool agnostic).Experience with data pipeline and workflow management tools (tool agnostic).Architect and design extensions to the data lake, data marts, and data integrations to support data-driven projects (tool agnostic).Having programming proficiency and profound knowledge in SQL, Python.Driving insights from large scale structured and unstructured data, data mining, exploratory data analysis and modelling (tool agnostic).(Very nice to have) Cloud environment, preferably with Microsoft Azure (ideal), Google Cloud Platform (GCP) or AWS.Strong analytical skills with the ability to collect, organize, analyses, and disseminate significant amounts of information with attention to detail and accuracy.Clearly articulate data expertise work to non-data expert business owners and business work to data expert We believe:

　　Unilever is the place where you can bring your purpose to life with the work that you do - creating a better business and a better world. You will be a part of a team with global and local leaders and colleagues who provide mentorship and inspiration so that you can become a better you! You can innovate, disrupt, and influence here at Unilever as we are TALENT CONNECTORS THAT MAKE EXPERIENCES HAPPEN!

　　 Note: Unilever embraces diversity and encourages applicates from all walks of life! We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment journey. If you require any support to complete your application or any subsequent stage throughout your recruitment journey with us at Unilever, then please specific how we may be able to assist you.

　　 APPLY FOR A BETTER YOU. A BETTER WORLD. A BETTER BUSINESS

　　Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bring ing their 'Whole Self' to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.