Data Engineer

IT International Mobility; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Continuous learning opportunities

Innovative work environment

Focus on diversity and inclusion

Team spirit and collaboration

Resumo da oferta

A leading technology firm in Lisbon is looking for a Data Engineer to support a client in the financial services industry. The role requires expertise in building cloud-native data pipelines and strong proficiency in AWS and Python. You will join an Agile Scrum team focused on creating data solutions that drive business impact. This position values analytical skills, collaboration, and offers continuous learning opportunities in a diverse environment.

Qualificações

• Proven experience building data pipelines and managing data on AWS.
• Strong skills in SQL, including complex queries and analytical database programming.
• Proficient in Python and data libraries such as Pandas and Boto3.

Responsabilidades

• Develop and maintain cloud-native data pipelines handling batch and streaming data.
• Architect high-performance data solutions supporting business and analytics needs.
• Collaborate with cross-functional teams, supporting production and continuous improvement.

Conhecimentos

Building data pipelines

SQL proficiency

Python

Analytical database programming

Data governance

Agile mindset

Collaboration

Formação académica

Degree in Engineering or related discipline

Ferramentas

AWS

Snowflake

Terraform

CloudFormation

Tableau

GitHub/GitLab

Jira

Descrição da oferta de emprego

Founded in 2005, MoOngy is an international group specialized in Engineering and IT, operating across Europe and North Africa.

With a presence in 14 countries, more than 40 entities, and 9,500 talents, we continue to grow everyday thanks to one simple thing: people who are genuinely passionate about technology and innovation.

Location: Lisbon, Portugal

Languages: English (B2-C1) - french is a plus

Work model: 4 days in the office

Eligibility: Currently living in Portugal and be legally authorized to work there

We are looking for a Data Engineer to join a client in the financial services industry.

You will be part of an Agile Scrum team, working on cloud‑native data pipelines and solutions to support critical business objectives.

Your Profile

• Degree in Engineering or related discipline
• Proven experience building data pipelines and managing data on AWS (S3, ECS, Lambda, RDS, SNS/SQS, IAM, CloudWatch)
• Strong skills in SQL, including complex queries and analytical database programming
• Proficient in Python and data libraries such as Pandas and Boto3
• Solid understanding of data platform architecture, governance, and metadata management
• Experience with Snowflake development is a plus
• Familiarity with CI/CD, orchestration tools (Step Function, Airflow, Prefect), and Infrastructure as Code (Terraform, CloudFormation) is valued
• Knowledge of data visualization tools like Tableau is an advantage
• AWS and Snowflake certifications are preferred
• Agile mindset, strong analytical and problem‑solving skills, detail‑oriented, and a collaborative team player
• Fluent in English (French is a plus)

Technical Environment

• Data Platforms: Snowflake, relational and graph databases
• Programming: Python (Pandas, Boto3), SQL (DBT core a plus)
• Infrastructure as Code: Terraform, CloudFormation
• Version Control & Tools: GitHub/GitLab, Jira

What You Will Be Doing

• Develop and maintain cloud‑native data pipelines handling batch and streaming data
• Architect high‑performance data solutions supporting business and analytics needs
• Manage large and complex datasets, ensuring quality through functional and non‑functional testing
• Design and optimize data models and queries for performance and scalability
• Collaborate with cross‑functional teams, supporting production, troubleshooting, and continuous improvement
• Ensure data governance through metadata cataloguing and compliance

Why Join Us?

Innovation & Impact: Play a central role in driving the future through creative solutions.

Continuous learning: Trainings, certifications, and structured career growth.

Team spirit: An international community where collaboration means something.

Diversity & inclusion: At MoOngy, everyone belongs — no fine print.

@MoOngy Group we stand for equality and value diversity. We create a safe, diverse environment where opportunities are equal for everyone! We do not discriminate based on age, ethnicity, sexual orientation, gender, disability, or any factor other than merit. All applications with skills needed for the position are welcome!