Senior Data Solutions Engineer

emagine Group; Porto; On-site; EUR 60,000 - 90,000; Full time

Job summary

emagine Group in Porto is seeking a Senior Developer, Data to partner with key business areas and translate needs into clearly defined requirements, roadmaps and delivery plans. You will design, develop and deliver data solutions that align with business objectives and maintain strong stakeholder collaboration across the enterprise data environment.

Responsibilities include defining data models, implementing ETL/ELT processes, and leveraging Databricks, lakehouse architectures and Azure data

Qualifications

• Experience in a large enterprise data environment.
• In-depth knowledge of data warehousing concepts.
• In-depth knowledge of data modeling.
• Consultative, business-oriented approach to solution development.
• Knowledge of Databricks, lakehouse architectures, and Azure data services.
• Understanding of Quality and Manufacturing business processes and their data.
• Strong analytical and structured problem-solving skills.
• Clear communication and stakeholder management abilities.

Responsibilities

• Taking responsibility for delivering data projects and CI improvements.
• Providing technical guidance and support to ongoing projects.
• Advising and supporting business stakeholders on data-related needs.
• Defining logical and physical data models reflecting business requirements.
• Designing, developing and implementing data solutions addressing business needs.
• Maintaining close collaboration and clear communication with business stakeholders.

Skills

Data warehousing

Data modeling

Databricks

Lakehouse architectures

Azure Data Services

Python

SQL

Stakeholder management

Communication

Tools

Azure Data Factory

Azure SQL Database

Azure Analysis Services

Job description

emagine Group in Porto is seeking a Senior Developer, Data to partner with key business areas and translate needs into clearly defined requirements, roadmaps and delivery plans. You will design, develop and deliver data solutions that align with business objectives and maintain strong stakeholder collaboration across the enterprise data environment.

Responsibilities include defining data models, implementing ETL/ELT processes, and leveraging Databricks, lakehouse architectures and Azure data