Senior Data Engineer

The vision and mission of our Enabling Function Global Data Assets organization is to transform the Bayer Company Functions such as Finance, Supply Chain & Logistics, HR, Procurement, Law, sustainability etc. and become more insights- and data-driven. To achieve this goal the team’s objective is to deliver the required data foundation and FAIR (Findable, Accessible, Interoperable, Reusable) data assets that enables the business in improving their decision-making ability. You will become part of the Data Engineering team and assist with the delivery of data assets and ensure that our customers can efficiently consume those data assets using a state-of-the-art data platform built on Microsoft Azure cloud. The team responsibility includes delivery of solutions involving work ranging from designing data pipelines, data modeling, system configuration, data storage, processing, and transformation tasks typical of a building and operating a data warehouse, data mart and data analytics platform.

YOUR TASKS AND RESPONSIBILITIES

You support data asset leads in creation of data assets for both our business and our IT community

You create and maintain optimal data pipeline architecture and drive automation - wherever possible and feasible actively ensure that automation is in place to increase efficiency and quality (deployments, monitoring, and remediation, etc.)

You assemble large, complex data sets that meet functional/non-functional business requirements and identify, design, and implement internal process improvements, optimizing data delivery, re-designing infrastructure for greater scalability when necessary

You build optimal extraction, transformation and loading of data from a wide variety of data sources including SAP and non-SAP systems

You work with stakeholders such as Data Asset leads, Data and Design teams and assist with data-related technical issues and support their data infrastructure needs

You work with data and analytics experts and strive for greater functionality in our data platform

You evaluate best solution options as well as provide advantages and disadvantages as a decision helper (m/f/d) and provide recommendations based on prior experience

You ensure that Bayer architecture principals, coding and compliance guidelines are followed and met

You work in agile project style - regularly communicate status, blockers, opportunities as well as shape the future - influence our overall data strategy with your technical and tool know how

WHO YOU ARE

University degree in computer science or similar education or minimum 12+ years equivalent work experience

You have proven experience with at least ten or more large projects using Azure Data Lake, Databricks, Snowflake, Azure Data Factory

OR

You have successfully completed ten or more large projects on SAP BW ( Business Warehouse ) system.

You have a good understanding of working in Azure Cloud - knowledge of services, including infrastructure as code, setup of Vnet etc.

You have prior experience in building data warehouses, data marts using RDBMS and SQL

You have experience in creating data models and are well versed in data engineering and data architecture principles

You have knowledge of Python or similar programing language and code repositories like GitHub, CI/CD pipelines, etc.

You have strong verbal, written and interpersonal communication skills

Fluent in English, both written and spoken