Data Engineer

🔎 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.

• 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.

• 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.

• 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

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/

We are committed to equal opportunities and welcome applications from all suitable candidates, regardless of gender, age, disability, ethnicity, religion or belief, sexual orientation, or any other protected characteristic.