Data Engineer - Scalable Cloud Pipelines & CI/CD (Lisbon)

Devoteam Portugal; Lisboa; On-site; EUR 45,000 - 75,000; Full time

Job summary

Devoteam Portugal is seeking an experienced Data Engineer to join our distributed cloud teams in Lisbon. You will design scalable data architectures, build robust pipelines for large-scale datasets, and ensure performance, reliability, and security across data platforms.

Collaborating with data scientists, architects, and business stakeholders, you will translate complex requirements into technical solutions, promote CI/CD, and help define engineering standards within the data team.

Qualifications

• 3+ years of professional experience in Data Engineering or similar high-scale roles.
• Expert-level Python (mandatory), with Pandas or PySpark experience.
• Strong SQL skills and experience designing ETL/ELT transformations.
• Experience with Git, unit testing, and CI/CD in the SDLC.
• Experience with distributed computing (Spark) and cloud data warehouses (Snowflake, BigQuery, or Redshift).
• Familiar with Databricks and cloud environments.
• Agile mindset with ability to manage multiple priorities.
• Good level of English (written and spoken).

Responsibilities

• Design and build robust, high-performance data pipelines for large-scale datasets.
• Implement and tune data processing frameworks for stability and cost-efficiency.
• Lead automation of end-to-end release processes (CI/CD) and promote code quality.
• Collaborate with Data Scientists, Architects, and stakeholders to translate requirements.
• Participate in code reviews and help define engineering standards for the data team.
• Take ownership of the data ecosystem, ensuring data integrity and secure production workflows.

Skills

Python

Pandas/PySpark

SQL/ETL

Git/CI-CD

Spark

Cloud data warehouses

Databricks

Agile

English

Job description

Devoteam Portugal is seeking an experienced Data Engineer to join our distributed cloud teams in Lisbon. You will design scalable data architectures, build robust pipelines for large-scale datasets, and ensure performance, reliability, and security across data platforms.

Collaborating with data scientists, architects, and business stakeholders, you will translate complex requirements into technical solutions, promote CI/CD, and help define engineering standards within the data team.