Senior Data Engineer - H/F

Key Skills

Azure, Data Analytics, Data Engineering, Data Lake, Data science techniques, Data Transformation, Database, Databricks, DevOps, Effective communication skills, Management, Planning and organization, PySpark, Python Programming, SQL

Job Description

MAIN JOB PURPOSE

The Data & Analytics (D&A) organization, is tasked to deliver maximum value from data to drive business and organization performance. The D&A – Analytics team in Europe helps business stakeholders win with data, data science and analytics to answer business questions and deliver insights and recommendations.

As part of this European analytics team, the role of the local Senior Data Engineer is to support the delivery insights to cross-functional business teams by leveraging data storage & processing solutions to create value for Unilever.

The Senior Data engineer will be part of cross-functional in market D&A team with business analysts, data analysts & data engineers, with expertise in Performance Management, Promo analysis, Field Sales Force & execution, up to Net revenue Management & pricing strategies, with a dotted reporting line to European Head of Data Engineering.

Job Summary

The Senior Data Engineer will be supporting D&A developments of advanced analytics, data science and reporting solutions in Azure cloud environments by delivering the following activities:

• Design and develop data storage and data processing solutions for the enterprise.
• Set up and deploy cloud based data services such as blob services, databases, and analytics.
• Secure the platform and the stored data. Make sure only the necessary users can access the data.
• Monitor to ensure that the systems run properly and are cost effective.
• Data Ingestion
• Data Transformation
• Deployment of solutions with Azure DevOps

Key Technical Requirements

SKILLS AND EXPERIENCE

• Azure Databricks
• Azure Data Factory
• Azure Data Lake Storage
• Azure Blob Storage
• SQL DB
• Azure Functions
• Azure Synapse
• Azure Devops
• Python (pyspark)

Relevant Qualifications And Experience

• 3-4+ years’ work experience in a data engineer role
• Experience managing projects from start to finish
• Passion for empirical research and for answering hard questions with data
• Ability to apply an agile analytic approach that allows for results at varying levels of precision
• Able to effectively communicate with stakeholders from different backgrounds and departments
• Ability to communicate complex quantitative insights in a precise, and actionable manner to business leaders

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.