We are looking for a dedicated Data Engineer to join our technology team in a key role to support data management, integration, and transformation across the organization. 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!
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