Data Engineer

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!

#J-18808-Ljbffr