Pepco Group
Data Engineer
- Compensation
- Not disclosed
- Location
- Porto, PT
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor’s degree in Information Systems, Data Management, Computer Science, or a related field. Certification in cloud data services or data engineering (e.g. Microsoft Azure Data Engineer, GCP, or A
- 3+ years in a data engineering, BI engineering, or data platform delivery role.
- Hands-on experience with cloud-native data tools and services.
- Strong SQL and scripting skills (e.g. Python, PySpark).
- Proven experience with modern ETL/ELT tools and orchestration frameworks.
- Understanding of data lakes, data warehousing, and data modelling principles.
- Familiarity with version control, CI/CD pipelines, and agile delivery methods.
- Comfortable working in cross-functional product and platform teams.
- Analytical and detail-oriented with a commitment to data quality and performance.
Full description
Build. Test. Deliver. Enjoy at Pepco!About the role
At Pepco, we’re growing fast and building our Tech Hub in Porto to support our business across Europe.
We are looking for a Data Engineer to join the team. In this role, you will design, build, and maintain scalable and reliable data pipelines and processing solutions to support enterprise data platform operations, as well as deliver curated, high-quality datasets to enable reporting, analytics, ML/AI, and operational insights for both IT and business teams.
If you like things simple, practical and with real ownership, you’ll fit right in.
What you’ll be doing
- Develop and maintain secure, scalable ETL/ELT data pipelines from diverse internal and external data sources.
- Optimise data workflows for performance, reusability, cost-efficiency, and resilience in a cloud environment.
- Implement data validation, quality, and transformation logic aligned to architecture and governance standards.
- Collaborate with data architects and analysts to deliver curated datasets for reporting, AI, and decision-making use cases.
- Monitor data pipeline performance and ensure availability and integrity of critical datasets.
- Automate data operations tasks such as testing, deployment, and versioning.
- Participate in data platform improvement initiatives including infrastructure upgrades, documentation, and operational tooling.
- Support troubleshooting and resolution of data-related issues impacting platform performance or outputs.
- Maintain strong awareness of data security, access controls, and privacy policies.
What we’re looking for
- Bachelor’s degree in Information Systems, Data Management, Computer Science, or a related field. Certification in cloud data services or data engineering (e.g. Microsoft Azure Data Engineer, GCP, or AWS) is a plus.
- 3+ years in a data engineering, BI engineering, or data platform delivery role.
- Hands-on experience with cloud-native data tools and services.
- Strong SQL and scripting skills (e.g. Python, PySpark).
- Proven experience with modern ETL/ELT tools and orchestration frameworks.
- Understanding of data lakes, data warehousing, and data modelling principles.
- Familiarity with version control, CI/CD pipelines, and agile delivery methods.
- Comfortable working in cross-functional product and platform teams.
- Analytical and detail-oriented with a commitment to data quality and performance.
What we offer
- Hybrid model: 2 days remote / 3 days onsite
- Office based in Porto: 📍 https://maps.app.goo.gl/Nn7hc6uYrmPiT8Fc9
- Competitive salary and annual bonus