Bayer is hiring a

Data Engineer (Databricks Specialist)

Job Overview

  • Posted 2 months ago
  • Full Time
  • Barcelona, Spain
  • 107000

Roles & Responsibilities

Our Mission is “Health for all and Hunger for none” Every day, we are privileged to work on purposeful cutting-edge projects to bring our mission to life. Join us at Bayer to have a career that you can put your passion into practice and make an impact using Science for a better life.

We are a dynamic and innovative company at the forefront of data-driven decision-making. Our team is passionate about leveraging data to drive business growth and enhance customer experiences. We are seeking a talented Data Engineer to join our ranks and contribute to our success. You’ll work on solutions and technologies to help our clients of areas as Supply Chain, Finance, Procurement, move their on-premises data warehouses to the cloud products like Databricks, Big Query and others. You work to provide thought leadership solutions, and support others with your expertise. 

 

Major tasks and responsibilities:

 

  1. Design and Build Data Pipelines: Collaborate with cross-functional teams to create robust data pipelines that meet business requirements. Assemble and process large datasets using Databricks and Apache Spark.
  2. Identify areas for improvement in data infrastructure and implement scalable solutions. Automate manual processes to enhance efficiency.
  3. Support the deployment and implementation of a new technologies across the business, serving as a connector between functions.
  4. Create analytical tools that provide actionable insights into key business metrics.
  5. Building knowledge and capabilities in emerging technologies or improving the existing one by keeping a focus on the market trend.
  6. Support data-driven decision-making across the organization.
  7. Facilitate and participate in code reviews, retrospectives, functional and integration testing, data validation and other team activities focused on improving quality of data and delivery.
  8. Work closely with stakeholders to address data-related technical challenges.
  9. Adapt systems to meet changing business needs.
  10. Ensure the compliance of the solutions, fulfilling the IT guidelines.
  11. Have a role of bridge between IT (Internal and external) and the functions for cross functional tools and implementation.
  12. Provide guidance to the productivity Hub in Bangalore, coordinating project implementation.
  13. Participate in the Service Center Organization community and / or expert network, to achieve improvements in different processes.

Skills Required

  • Machine Learning
  • Python

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