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Senior Data Engineer ( M/F)

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Onsite

Senior Data Engineer ( M/F)

SYVANTECH

Senior Data Engineer ( M/F)

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonDatabricksData AnalysisAWSAzure

3 months ago

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Important information


Contract type:

Permanent

Location:

2780 Oeiras, Portugal

Work mode:

Onsite

Published on:

7 August 2026

What they need


Syvantech believes technology only matters when it delivers real business value. We work as true partners to our clients, focusing on simple interactions, efficient processes, and solutions tailored to the right level of complexity.

We are looking for a Data Engineer specialized in Databricks to join our team of passionate data professionals. You will work in modern, cloud‑driven environments, designing scalable pipelines and ensuring high‑quality data delivery across the organization.

Your Role

You will design, build, and maintain cloud‑based data solutions using Databricks as a core platform. Your work will support analytics, reporting, and strategic decision‑making. Collaboration is key—you’ll work closely with data architects, analysts, and business stakeholders to ensure efficient and reliable data flows.

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL/ELT processes in Databricks
  • Build and optimize data models and cloud architectures leveraging the Databricks Lakehouse platform
  • Use SQL and Python to transform, validate, and optimize datasets
  • Integrate data from multiple sources into scalable cloud environments
  • Collaborate with cross‑functional teams to understand requirements and deliver robust solutions
  • Monitor workflows and contribute to performance tuning and cost optimization
  • Ensure data quality, consistency, and proper documentation
  • Support continuous improvement of engineering practices, automation, and standards

What We’re Looking For

  • Experience as a Data Engineer or in a similar data‑focused role
  • Hands‑on experience with Databricks (pipelines, Delta Lake, transformations, orchestration)
  • Strong SQL skills and solid understanding of data modeling
  • Experience with ETL/ELT processes and data integration
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience with Python for data processing
  • Understanding of data quality, governance, and best practices
  • Fluency in English; Portuguese is a plus
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Why You’ll Enjoy Working With Us

  • You enjoy working with modern cloud data platforms and scalable architectures
  • You value collaboration and cross‑functional teamwork
  • You have an analytical mindset and enjoy solving complex data challenges
  • You’re eager to deepen your expertise in Databricks and cloud data engineering
  • You bring autonomy, responsibility, and a continuous improvement mindset

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