Banking Sector | Senior Python Developer

act digital; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

Act Digital in Lisbon is seeking a Python Developer / Data Engineer to design, develop and maintain scalable data solutions. You will build robust data pipelines, ensure data quality, and support analytics and regulatory use cases in a financial services environment.

The role requires strong Python and SQL skills, experience with PySpark, Hive, Hadoop and Dataiku DSS, plus exposure to Power BI or Tableau for data visualization. Collaboration across international teams is essential.

Qualificações

• Experience designing and maintaining data pipelines.
• Strong Python coding and SQL skills.
• Experience with PySpark, Hive and Hadoop.
• Experience with Dataiku DSS or similar data platforms.
• Familiarity with data visualization tools (Power BI, Tableau).
• Knowledge of cloud environments (AWS, IBM).
• Experience in Agile teams and with Jira/Confluence.
• Ability to translate business needs into data models.

Responsabilidades

• 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 or similar platforms.
• Ensure data consolidation within a scalable analytical framework.
• Translate business requirements into technical specifications and data models.
• Collaborate with stakeholders to deliver data-driven solutions and validate results.
• Contribute to continuous improvement of data architecture and processes.

Conhecimentos

Python

SQL

Big data

Agile methodologies

Data visualization

Communication

Ferramentas

PySpark

Hive

Hadoop

Dataiku DSS

Power BI

Tableau

Jira

Confluence

ALM Octane

AWS

Descrição da oferta de emprego

Job Description: We 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