Data Engineer

About MoOngy

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.

The Role: AWS Data Engineer

Location: Lisbon

Work Model: hybrid - 2-3 days a week in the office

Sector: Financial Services

Languages: English (C1)

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

Mandatory Requirements (Non‐Negotiable)

• AWS expertise (S3, ECS, Lambda, RDS, IAM).
• Advanced SQL and data pipeline development.
• Database experience (SQL + unstructured/graph).
• CI/CD with GitHub/GitLab.
• AWS + Snowflake certifications.
• Data Valut (2.0) + Kimball

Nice to have:

• Experience with Snowflake and Tableau.
• Agile mindset, deliver against deadlines with a strong analytical and problem-solving skills, communication skills.

Responsibilities:

• Design and implement cloud-based data pipelines from sources such as APIs, FTP, and SFTP.
• Transform raw data into structured, usable formats.
• Develop using Python and data libraries (e.g., Pandas, Boto3).
• Orchestrate workflows and manage infrastructure using tools like Airflow/Step Functions and IaC (CloudFormation/Terraform).

Why Join Us?

• Innovation & Impact: Play a central role in driving the future through creative solutions
• Challenging projects: Modern environments, real impact, zero boredom.
• 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.

Diversity & Inclusion

At MoOngy Group, we are committed to equality and diversity. We foster a safe, inclusive, and respectful environment where everyone has equal opportunities. We do not discriminate based on age, origin, gender, sexual orientation, disability, or any criterion unrelated to skills and merit.