Data Engineer - Aws (M/F/D) (M/F)

HAYS

05.07.2026 | Lisboa | Referência: 2446045


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Descrição da Função

Your new company
You will be joining an established and highly respected organization operating within the international financial and asset management sector.

Your new role
As a Senior Data Engineer, you will play a key role in designing and delivering robust, scalable data solutions within a modern cloud-based ecosystem. Working within an Agile product team, you will contribute to the development of advanced data platforms, ensuring the efficient transformation of raw data into valuable insights.

Responsibilities:
  • Design and implement end-to-end data pipelines across cloud environments, transforming data from multiple sources into structured formats;
  • Develop scalable batch and streaming solutions with monitoring and alerting capabilities;
  • Build and maintain complex datasets to support business and analytical needs;
  • Contribute to data governance initiatives, including metadata management and data quality controls;
  • Perform data modelling and design database structures (tables, views, procedures);
  • Optimize queries and processing performance for large-scale data environments;
  • Support production activities, including troubleshooting, monitoring, and user support;
  • Work closely with stakeholders to gather requirements and deliver effective solutions;
  • Ensure adherence to architectural standards and best practices;
  • Continuously seek improvements in performance, scalability, and reliability of data solutions.

What you'll need to succeed
  • Degree in Engineering, Computer Science, or a related field;
  • Proven experience in data engineering within cloud environments (AWS ecosystem);
  • Strong knowledge of services such as S3, Lambda, ECS, RDS, SNS/SQS, IAM, and CloudWatch;
  • Advanced SQL skills with experience in analytical databases;
  • Proficiency in Python and relevant libraries for data processing;
  • Solid understanding of data architecture, modelling, and governance principles;
  • Experience with data warehousing solutions (Snowflake is highly valued);
  • Familiarity with CI/CD practices and version control systems (e.g. Git);
  • Exposure to orchestration tools such as Airflow or similar;
  • Knowledge of infrastructure as code tools is advantageous;
  • Strong analytical mindset with attention to detail and performance optimization;
  • Experience working in Agile environments;
  • Fluent in English (additional languages are a plus).
What you'll get in return
You will join a forward-looking international environment where innovation and collaboration are at the forefront. This is an opportunity to be part of a growing data function and contribute to impactful, high-visibility projects.

Next steps
If you are ready to take the next step in your career and work on impactful data-driven initiatives, click “apply now” to submit your CV to discuss this opportunity further.


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