Data Engineer

DKSH Portugal, Unipessoal, Lda.

full-time

Posted on: 1/12/2026

Location Type: Hybrid

Location: Lisboa • Portugal

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About the role

Design, develop, and maintain scalable data processing pipelines and workflows using frameworks such as Apache Spark, PySpark, and Apache Beam.
Build and maintain microservices in Python that serve data-driven features in production.
Develop internal tools to support CI/CD pipelines, experiment tracking, and data versioning.
Collect, process, and integrate large datasets from multiple sources, including databases, file systems, and APIs.
Ensure data integrity, consistency, and quality through robust validation and monitoring processes.
Optimize data systems for performance, scalability, and high availability.
Implement best practices for data security, access control, and privacy.
Collaborate with data scientists, analysts, and engineers to support analytics and ML workflows.

5+ years of professional experience in software engineering or data engineering.
Strong software engineering skills with Python in large-scale, high-performance production environments.
Hands-on experience with Spark/PySpark and other big data frameworks.
Expertise in data modeling and working with both structured and unstructured data.
Hands-on experience with streaming data platforms, particularly Apache Kafka.
Strong understanding of distributed systems and modern data architectures.
Experience working with cloud platforms, preferably GCP (BigQuery, Dataflow, Pub/Sub, Dataproc).
Excellent problem-solving and communication skills.

Benefits

Office Snacks and Activities: Fuel your work with various snacks and enjoy fun activities that keep our team spirit high. Whether it's a darts match, board games, or yoga, we believe a happy team is productive.

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonApache SparkPySparkApache Beamdata processing pipelinesmicroservicesCI/CDdata modelingstreaming dataApache Kafka

problem-solvingcommunication