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Job DescriptionWe are looking for a Python Developer / Data Engineer to join our IT team, contributing to the design, development, and maintenance of scalable data solutions.
The role focuses on building robust data pipelines, ensuring data quality, and supporting analytics and regulatory use cases in a financial services environment.
Main Responsibilities
Design, develop, and maintain data pipelines and data processing workflows
Implement data ingestion, transformation, cleaning, and quality controls using Python and SQL
Work with large-scale data platforms using PySpark, Hive, and Hadoop
Build and maintain data solutions using Dataiku DSS (Data Science Studio) or similar data platforms
Ensure data consolidation within a controlled and scalable analytical framework
Translate business requirements into technical specifications and data models
Participate in workshops to gather and formalize business needs
Define functional and technical requirements and contribute to technical documentation (DI/DE)
Map data structures, define business rules, and ensure correct data usage across consumers and jurisdictions
Develop, test, and deploy data solutions, including unit testing and validation
Collaborate with business and IT stakeholders to deliver data-driven solutions
Support validation phases with end users and ensure solution accuracy
Contribute to continuous improvement of data architecture and processes
Technical Skills
Strong programming experience in Python
Solid knowledge of SQL (Oracle or similar)
Experience with big data technologies: PySpark, Hive, Hadoop
Experience with Dataiku DSS or similar data platforms
Knowledge of data visualization tools ( Power BI, Tableau ) is a plus
Understanding of cloud environments ( AWS, IBM, or similar )
Familiarity with Agile methodologies
Experience with Jira, Confluence, ALM Octane
Strong understanding of data lifecycle: ingestion, processing, quality, and delivery
Exposure to financial data / credit risk / stress testing concepts is a plus
Languages
English — Expert
Portuguese — Good / Practice
French — Basic (optional)
Soft Skills
Strong problem-solving and analytical thinking
Proactive and detail-oriented mindset
Ability to work in cross-functional and international teams
Good communication with both technical and business stakeholders
Ability to manage priorities and deliver under deadlines
What We Offer
Integration into an international company, Act Digital, with global presence in Belgium and Brazil
Continuous learning and technical development opportunities
Career progression in data engineering and cloud technologies
Dynamic, collaborative, and innovation-driven environment
Competitive salary aligned with experience and profile
Send us your CV to ****** and join the Act team!
The role focuses on building robust data pipelines, ensuring data quality, and supporting analytics and regulatory use cases in a financial services environment.
Main Responsibilities
Design, develop, and maintain data pipelines and data processing workflows
Implement data ingestion, transformation, cleaning, and quality controls using Python and SQL
Work with large-scale data platforms using PySpark, Hive, and Hadoop
Build and maintain data solutions using Dataiku DSS (Data Science Studio) or similar data platforms
Ensure data consolidation within a controlled and scalable analytical framework
Translate business requirements into technical specifications and data models
Participate in workshops to gather and formalize business needs
Define functional and technical requirements and contribute to technical documentation (DI/DE)
Map data structures, define business rules, and ensure correct data usage across consumers and jurisdictions
Develop, test, and deploy data solutions, including unit testing and validation
Collaborate with business and IT stakeholders to deliver data-driven solutions
Support validation phases with end users and ensure solution accuracy
Contribute to continuous improvement of data architecture and processes
Technical Skills
Strong programming experience in Python
Solid knowledge of SQL (Oracle or similar)
Experience with big data technologies: PySpark, Hive, Hadoop
Experience with Dataiku DSS or similar data platforms
Knowledge of data visualization tools ( Power BI, Tableau ) is a plus
Understanding of cloud environments ( AWS, IBM, or similar )
Familiarity with Agile methodologies
Experience with Jira, Confluence, ALM Octane
Strong understanding of data lifecycle: ingestion, processing, quality, and delivery
Exposure to financial data / credit risk / stress testing concepts is a plus
Languages
English — Expert
Portuguese — Good / Practice
French — Basic (optional)
Soft Skills
Strong problem-solving and analytical thinking
Proactive and detail-oriented mindset
Ability to work in cross-functional and international teams
Good communication with both technical and business stakeholders
Ability to manage priorities and deliver under deadlines
What We Offer
Integration into an international company, Act Digital, with global presence in Belgium and Brazil
Continuous learning and technical development opportunities
Career progression in data engineering and cloud technologies
Dynamic, collaborative, and innovation-driven environment
Competitive salary aligned with experience and profile
Send us your CV to ****** and join the Act team!
Key Skills
Ranked by relevance
python
cloud
dss
data visualization
data structures
confluence
power bi
big data
tableau
oracle
jira
sql
aws
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- Posted
- May 22, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Viseu
- Company
- act digital
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Purple Teamer
2026-05-22
Full-time
Associate
France
IT Services
Information Technology
View Job Details
Related
System Engineer/Site Reliability Engineer (m/w/d)
2026-06-09
Full-time
Not Applicable
Germany
IT Services
Engineering
View Job Details
Related
Cyber Security
2026-05-25
Full-time
Not Applicable
Portugal
IT Services
Engineering