Data Engineer | Information Systems & Data Analytics

Hipoges S.p.A.; Portugal; Remote; EUR 45,000 - 65,000; Full time

Job summary

Hipoges S.p.A. is seeking a Data Engineer to manage and improve our data infrastructure, develop automated processes, and ensure data quality across systems to support portfolio management and internal operations.

The role requires strong SQL (PostgreSQL/MySQL) and Python skills, experience with data integration, and excellent English communication. An intermediate Spanish level is desirable in a multinational setting.

Qualifications

• Degree in Engineering, Mathematics, Statistics, Computer Science or another relevant field.
• At least 3 years of professional experience in Data Engineering or a similar role.
• Experience working with databases, data processing and automation.

Responsibilities

• Manage and maintain databases, ensuring data availability, integrity and efficiency.
• Develop and implement automated processes to improve portfolio management and internal operations.
• Ensure data quality, consistency and accuracy across systems.
• Support data analysis and contribute to the optimisation of data-related processes.
• Identify opportunities to improve existing processes through automation and better use of data.

Skills

PostgreSQL

MySQL

Python

ETL Tools

Excel

Data Analysis

Communication

Organizational Skills

English Proficiency

Spanish (Intermediate)

Education

Degree in Engineering or Computer Science (or related field)

3+ years of professional Data Engineering experience

Experience with databases, data processing and automation

Tools

ETL Tools

Job description

Data Engineer | Information Systems & Data Analytics

Founded in 2008, Hipoges is one of the leading Asset Management platforms in the Iberian Peninsula, with over €48.5 billion in assets under management. With a presence in Spain, Portugal, Greece and Italy, and more than 1,800 employees worldwide, Hipoges works with leading financial institutions and international investors.

Hipoges provides a wide range of asset management–related services, including:

• Advisory services in the valuation and acquisition of portfolios
• Design of processes and implementation of management tools
• Development of servicing solutions for different types of assets
• Advisory department supporting portfolio acquisition operations and co-investment alongside its clients.

Descrição

The Data Engineer will be responsible for managing and improving Hipoges' data infrastructure, developing automated processes and ensuring data quality to support efficient portfolio management and internal operations.

2] RESPONSIBILITIES

• Manage and maintain databases, ensuring data availability, integrity and efficiency.
• Develop and implement automated processes to improve portfolio management and internal operations.
• Ensure data quality, consistency and accuracy across systems.
• Support data analysis and contribute to the optimisation of data-related processes.
• Identify opportunities to improve existing processes through automation and better use of data.

Perfil

3] SKILLS

• Strong knowledge of databases and SQL, particularly PostgreSQL and/or MySQL – mandatory.
• Strong knowledge of Python – mandatory.
• Knowledge of ETL tools and data integration processes – desirable.
• Advanced Excel skills.
• Strong analytical and problem-solving skills, with attention to detail.
• Good communication and interpersonal skills.
• Strong organisational skills, resilience and ability to meet deadlines.
• High level of English proficiency.
• Intermediate level of Spanish – desirable.

4] QUALIFICATIONS

• Degree in Engineering, Mathematics, Statistics, Computer Science or another relevant field.
• At least 3 years of professional experience in Data Engineering or a similar role.
• Experience working with databases, data processing and automation.

Hipoges is an equal opportunity employer, promoting a discrimination-free work environment where individuals are treated with dignity and respect. Hipoges does not discriminate in any aspect of employment based on race, ethnicity, nationality, religion, age, gender, sexual orientation, disability, or any other characteristic protected under applicable law. We adhere to these principles across all aspects of employment, including recruitment, hiring, training, compensation, promotion, and benefits.