Founded in ****, 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 every day thanks to one simple thing: people who are genuinely passionate about technology and innovation.The Role: AWS Data EngineerWork Model: 2 days a week onsite;
3 days remote from Portugal? Eligibility: Currently living in Portugal and be legally authorized to work thereWe are looking for aData Engineer with strong AWS expertiseto join our team and contribute to the design, development, and optimization of scalablecloud-based data pipelines.
In this role, you will work with large volumes of structured and unstructured data, transforming raw data from multiple sources into reliable datasets that support analytics and business decision-making.
You will collaborate closely with data engineers, analysts, and platform teams in anAgile environment, helping to build robust and scalable data platforms in the cloud.
Degree inEngineering, Computer Science, or a related field.
Experience designing and implementingcloud-based data pipelines.
Strong knowledge ofPythonand data-related libraries such as Pandas and Boto3.
Experience withworkflow orchestration tools(Step Functions, Airflow, Prefect).
Familiarity withInfrastructure as Codetools such as CloudFormation or Terraform.
Good understanding ofdata platform architecture and data governance principles.
Agile mindset with the ability todeliver against deadlines.
Stronganalytical and problem-solving skills.
Goodcommunication and collaboration skills.
Technical SkillsStrong experience withSQL and complex query development.
Proven experience buildingdata pipelines in cloud environments.
Hands-on experience withAWS services, including:
S3, ECS, Lambda, RDS, SNS/SQS, IAM, CloudWatch
Experience working withstructured, unstructured, or graph databases.
Experience implementingCI/CD pipelines.
Strong knowledge ofGit-based version control systems (GitHub / GitLab).
AWS Certification(e.G., AWS Solutions Architect or equivalent).
Snowflake Certification(e.G., SnowPro Core).
Nice to HaveExperience withTableau.
Experience withDBT Core.
What You Will Be DoingDesign, build, and maintainscalable data pipelines in AWSto process and transform raw data from various sources (APIs, FTP, SFTP).
Develop and optimizecomplex SQL queriesfor data transformation and analysis.
Work withstructured, semi-structured, and unstructured data, including graph databases.
Implementcloud-native data solutions using AWS servicessuch as S3, ECS, Lambda, RDS, SNS/SQS, IAM, and CloudWatch.
Develop data processing workflows usingPython and data libraries (e.G., Pandas, Boto3).
Implement and maintainCI/CD pipelinesusing tools such as GitHub and GitLab.
Work withdata orchestration toolssuch as Step Functions, Airflow, or Prefect.
ApplyInfrastructure as Code (IaC)principles using tools such as CloudFormation or Terraform.
Contribute to the design and evolution ofdata platform architectureand ensure alignment withdata governance best practices.
Collaborate with cross-functional teams to ensure data solutions meet business and technical requirements.
Why Join Us?
Innovation & Impact:Play a central role in driving the future through creative solutions
Continuous learning:Trainings, certifications, and structured career growth.