🔎 What do you need to have?

• Solid experience in data engineering: ingestion, transformation, storage, and availability of data in both cloud and on-premise environments;

• Hands-on knowledge of languages such as Python and SQL, as well as data processing frameworks (e.g., Spark, dbt, or equivalent);

• Experience with cloud platforms (AWS, Azure, or GCP) and data services (Redshift, BigQuery, Synapse, Databricks, or similar);

• Familiarity with orchestration tools and pipelines (Airflow, Prefect, etc.), and CI/CD practices for data;

• Ability to model data, create robust schemas and ensure data quality and governance;

• Thoroughness, attention to detail, and strong analytical skills;

• Good written and verbal communication skills, with the ability to collaborate with multidisciplinary teams (product, analytics, operations);

• A mindset focused on continuous improvement and process automation.

🧾 What would your responsibilities be?

• Design, implement and maintain scalable and resilient data pipelines to support reporting, analytics, and data-driven products;

• Implement batch and streaming data ingestion and transformation processes, ensuring performance and reliability;

• Collaborate with business and analytics teams to translate requirements into technical solutions and suitable data models;

• Ensure data quality practices: testing, monitoring, alerting, and documentation;

• Manage and optimize storage and processing platforms (data lakes, data warehouses);

• Participate in the definition and implementation of data governance, security, and compliance policies;

• Contribute to the automation of deployments and pipeline maintenance (CI/CD), and to the reduction of technical debt;

• Support continuous improvement initiatives, promoting best practices and internal enablement around data engineering.

🎯 What we value

• Previous experience in organizations with large volumes of data or regulated sectors (utilities, finance, telecoms) is a plus;

• Knowledge of observability and pipeline monitoring tools;

• Experience with dimensional modeling and query acceleration/virtualization tools;

• Certifications in cloud providers and data tools will be valued;

• Enjoy working as part of a team and the ability to explain technical concepts to non-technical stakeholders.

Our journey includes:

• Health and Life insurance

• Birthday day off

• Team Building events outside of the box

• Snacks in the office every Friday

• 24-hour psychological support line

• Discounted gym memberships

• You’ll be working in a Great Place to Work and Best Workplace!

• Many other benefits to enjoy good times and take care of yourself

Location: Vila Real & Porto
Work type: 100% in the office

We look forward to welcoming you!

By applying for this position, you consent to our data protection and processing policy for this purpose, which can be found at: https://goldenergy.pt/info/recrutamento/