Senior Data Engineer

Bayer AG; Barcelona; On-site; EUR 65,000 - 110,000; Full time

Job summary

Bayer is seeking a data engineering professional to develop, maintain and evaluate big data solutions across functional areas. The role involves assembling large datasets, building ETL pipelines, and delivering analytics-ready data products that shorten data-to-insight lead times.

You will work with a multidisciplinary team, communicating with both technical and non-technical stakeholders, profiling data, modeling metadata, and ensuring scalable, future-proof data architectures.

Qualifications

• Experience designing and implementing data models for large-scale datasets.
• Proven ability to build robust ETL pipelines and data integration solutions.
• Familiarity with big data technologies and analytics platforms.

Responsibilities

• Communicate Between Technical and Non-Technical Colleagues
• Communicate effectively with technical and non-technical stakeholders
• Support and host discussions within a multidisciplinary team
• Be an advocate for the team externally, and 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 emerging trends in data tools and techniques
• Data Integration Design
• Data Modeling across multiple subject areas
• Explain models for purpose
• Metadata Management
• Provide oversight and advice to younger team members
• Problem Resolution
• Initiate actions, monitor services and identify trends
• Determine the remedy and assist with implementation
• Programming and Build
• Use standards to design, code, test and document programs
• Collaborate with others to review specifications

Skills

Data modeling

ETL pipelines

Big data

Stakeholder comms

Tools

SQL

Python

Spark

Job description

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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, flexible, 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.