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At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Job Summary: Responsible for developing, maintaining, and evaluating big data solutions across functional / process content areas. Uses data managementbest practices and innovative, fit-for-purpose technologies to build stable, versátil, high-performing data & analytics products that help reducethe lead time from data collection to insight generation. Assembles large, complex data sets (e.g. text, time series, imagery) into a useful format for analysis using fit-for-purpose database technologies and designs, builds and orchestrates ETL pipelines.

Key responsabilities and Skills:

Communicating Between Technical and Non-Technical Colleagues

Communicate effectively with technical and non-technical stakeholders

Support and host discussions within a multidisciplinary team, with potentially difficult dynamics

Be an advocate for the team externally, and can manage differing perspectives

Data Analysis and Synthesis

Undertake data profiling and source system analysis

Present clear insights to colleagues to support the end use of the data

Data Development Process

Design,



build and test data products that are complex or large scale

Build teams to complete data integration services

Understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage

Data Integration Design

Select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines

Data Modeling

Produce relevant data models across multiple subject areas

Explain which models to use for which purpose

Understand industry-recognized data modelling patterns and standards, and when to apply them

Compare and align different data models

Metadata Management

Design an appropriate metadata repository and present changes to existing metadata repositories

Understand a range of tools for storing and working with metadata

Provide oversight and advice to more inexperienced members of the team

Problem Resolution

Respond to problems in databases, data processes, data products and services as they occur

Initiate actions, monitor services and identify trends to resolve problems

Determine the appropriate remedy and assist with its implementation, and with preventative measures

Programming and Build

Use agreed standards and tools to design, code, test,



correct and document moderate-to-complex programs and scripts from agreedspecifications and subsequent iterations

Collaborate with others to review specifications where appropriate

Technical Understanding

Understand the core technical concepts related to the role, and apply them with guidance Testing

Review requirements and specifications, and define test conditions

Identify issues and risks associated with work

Analyze and report test activities and results

Use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations

Collaborate with others to review specifications where appropriate

Understand the core technical concepts related to the role, and apply them with guidance

Testing

Review requirements and specifications, and define test conditions

Identify issues and risks associated with work

Analyze and report test activities and results

YOUR APPLICATION This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

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📌 Senior Data Engineer (Madrid)
🏢 Bayer
📍 Madrid