Data Engineer

act digital EMEA - Alter Solutions; Porto; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

act digital EMEA - Alter Solutions is seeking a Senior Data Engineer to join a team responsible for developing, implementing, and maintaining robust data solutions. You will build scalable data pipelines and ensure high-quality data availability to support diverse business needs.

This role adopts a Hybrid work model with one day per week on-site in Porto. You should have strong Python and Apache Spark experience, production-grade data pipelines, and a solid grasp of data modelling and best

Qualifications

• Solid experience as a Data Engineer, preferably at senior level.
• Strong Python skills and Spark or similar distributed processing.
• Proven track record building data pipelines in production.
• Deep understanding of data concepts, structures, and modelling.
• Experience with Data Engineering best practices, data quality and reliability.
• Hands-on with TDD methodologies.
• Ability to design solutions for varying data consumption needs.
• Strong analytical skills and cross-functional collaboration.
• Willingness to work on-site once a week.

Responsibilities

• Design, develop, and maintain data pipelines, ensuring efficiency, scalability, and reliability.
• Deliver data solutions into production environments, creating tangible business value.
• Develop and optimize data transformation and processing workflows using Python, Apache Spark, or other distributed data processing frameworks.
• Define and implement Data Engineering best practices, ensuring data quality, integrity, and consistency.
• Design and optimize data models and structures to support different data consumption requirements.
• Apply Test-Driven Development (TDD) practices to ensure the quality and reliability of data solutions.
• Collaborate with cross-functional teams to understand business requirements and deliver effective technical solutions.

Skills

Data Engineer

Python

Apache Spark

Data pipelines

TDD

Data modelling

Cross-functional collaboration

Job description

We are looking for a Senior Data Engineer to join a team responsible for developing, implementing, and maintaining data solutions. The role involves building efficient and scalable data pipelines, ensuring high-quality data availability to support different business needs.

Work Model: Hybrid – 1 day per week at the office.

Key Responsibilities

• Design, develop, and maintain data pipelines, ensuring efficiency, scalability, and reliability.
• Deliver data solutions into production environments, creating tangible business value.
• Develop and optimize data transformation and processing workflows using Python, Apache Spark, or other distributed data processing frameworks.
• Define and implement Data Engineering best practices, ensuring data quality, integrity, and consistency.
• Design and optimize data models and structures to support different data consumption requirements.
• Apply Test-Driven Development (TDD) practices to ensure the quality and reliability of data solutions.
• Collaborate with cross-functional teams to understand business requirements and deliver effective technical solutions.

Requirements

• Solid professional experience as a Data Engineer, preferably in a senior-level role.
• Strong proficiency in Python and experience with Apache Spark or other distributed data processing frameworks.
• Proven experience developing and maintaining data pipelines in production environments.
• In-depth understanding of data concepts, data structures, and data modelling techniques.
• Strong knowledge of Data Engineering best practices, including data optimization, quality, and reliability.
• Hands-on experience with Test-Driven Development (TDD) methodologies.
• Ability to understand different data consumption needs and design appropriate solutions.
• Strong analytical skills, autonomy, and the ability to collaborate effectively with cross-functional teams.
• Availability to work on-site once a week.