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Data Engineer

Devoteam

On-site
Porto, PT
Full-time
Mid Level
4+ yrs
Salary not listedPosted 2mo ago

Real job — pulled straight from Devoteam’s careers page · Verified June 15, 2026 · No reposts.

Job description

Devoteam is hiring a Data Engineer — a full-time, based in Porto, PT role. Apply directly on Devoteam's careers page below.

Distributed Cloud | Data Engineer

Location: Porto, Porto, pt

Company Description

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

Job Description

We are looking for an experienced Data Engineer to join our teams and lead the design and optimization of scalable data architectures. You will be responsible for building the backbone of our data-driven solutions, ensuring high performance, reliability, and security.

In this role, you will:

  • Design and build robust, high-performance data pipelines capable of handling large-scale, complex datasets.

  • Implement and fine-tune data processing frameworks to ensure system stability and cost-efficiency.

  • Lead the automation of end-to-end release processes (CI/CD) and promote best practices for code quality and maintainability.

  • Partner with Data Scientists, Architects, and Business stakeholders to translate complex requirements into technical reality.

  • Participate in code reviews and help define the engineering standards for the entire data team.

  • Take ownership of the data ecosystem, ensuring data integrity, security, and smooth production workflows.

Qualifications

  • 4+ years of professional experience in Data Engineering or similar high-scale roles.

  • Expert-level Python (mandatory), with deep experience in data manipulation libraries (e.g., Pandas, PySpark).

  • Strong command of SQL and advanced experience in designing complex ETL/ELT transformations.

  • Solid understanding of the full software development lifecycle, including Git, unit testing, and CI/CD.

  • Practical experience with distributed computing (e.g., Spark) and modern Cloud Data Warehouses (Snowflake, BigQuery, or Redshift).

  • Comfortable working in Agile environments and managing multiple concurrent priorities.

  • Good level of English (written and spoken).

Additional Information

The Devoteam Group works for equal opportunities, promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity, dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.

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Frequently asked questions

What skills are required for Data Engineer at Devoteam?

The required skills for Data Engineer at Devoteam include: Python, Pandas, Spark, SQL, ETL, Git, CI/CD, Snowflake, BigQuery, Redshift, Agile.

What is the seniority level for Data Engineer at Devoteam?

Data Engineer at Devoteam is a Mid Level level position.

How do I apply for Data Engineer at Devoteam?

You can view the full description and apply for Data Engineer at Devoteam on EchoJobs: https://echojobs.io/job/devoteam-distributed-cloud-data-engineer-vl7c5.