Senior Data Engineer: Scalable Data Solutions & Analytics

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

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.