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Lead Data Engineer (H/F)

Job ID:
Rueil-Malmaison, Île-de-France Region
Date posted:
Unilever is one of the world`s largest Fast Moving Consumer Goods (FMCG) businesses, with interest across Personal Care, Homecare, Refreshment and Foods product categories. We make products that people love – and that make a difference. Nutritious foods. Household care essentials. Indulgent ice creams. Refreshing teas. Luxurious shampoos. Affordable, disease-combating soaps... and many more. In fact, we make around 400 much-loved brands including global brands such as Knorr & Dove, but also local brand such as Calvé (the Netherlands) and Suave (the Americas). Shoppers buy them in more than 190 countries. That means you’ll find at least one of our products in seven out of ten households on the planet. And we want every one of those products to make a positive impact on the lives of the people who buy them.

You role

  • Shaping the portfolio of business problems to solve by building detailed knowledge of data sources, internal and external.
  • Working with fellow data engineers to model data landscape, obtain data extracts and define secure data exchange approaches. Mentoring fellow data engineers.
  • Collaborating with fellow data engineers to transform data from multiple sources from the data lake to a feature, or higher layer.
  • Planning and delivering secure, best practice data integration strategy, creating and managing data environments in the Cloud.
  • Operating in a fast-paced, iterative environment while remaining compliant with Information Security policies and standards.
  • Collaborating with data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models. Single version of the truth views to be used by multiple end users.
  • Shaping architecture of the strategic advanced analytics technology landscape.
  • Leading the creation of data assets and knowledge e.g., best practices, methodology.
  • Working with stakeholders to ensure the product is aligned to business goals and ensure impediments, debt and enablers are communicated and understood.
  • Driving and leading the team to achieve planning commitments, lead continuous improvement of the wider engineering community and act in a mentoring capacity.

Your profile

  • Expert in several key technologies and frameworks including (Azure Data Lake, Azure Data Factory, Azure pipelines, ADF, ARM Infrastructure as code, Kedro, Airflow, Event Hubs, Databricks, Devops, GIT, SQL, Python, PySpark)
  • Proven experience leading Date Engineering projects and teams within an agile framework.
  • Able to transform structured, semi-structured, and unstructured data, according to best ETL/ELT design patterns.
  • Knowledge of and experience in CI/CD/orchestraton best practices and principles.
  • Meaningful experience in at least one database/data-fabric technology including delta tables, traditional RDBMS (SQL based), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan).
  • Strong understanding of Information Security principles to ensure compliant handling and management of data.
  • Ability to clearly communicate complex solutions.

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 bringing 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.

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