Senior Data Engineer: Scalable Pipelines & AI‑Ready

Mpya Sci & Tech AB

Göteborgs kommun

Sur place

SEK 613 800 - 837 000

Plein temps

14 jours+

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Résumé du poste

Mpya Sci & Tech AB in Gothenburg is seeking a Senior Data Engineer to join their Data team. You will design scalable data architectures and robust ETL/ELT pipelines while collaborating with diverse client projects in various industries.

The ideal candidate has strong skills in Python and SQL, experience with modern cloud platforms, and an engineering mindset. The role offers opportunities to influence technical decisions and contribute to machine learning initiatives.

The company fosters a culture of inclusion, bravery, and curiosity, ensuring a sustainable working life.

Qualifications

  • Several years of experience as a Data Engineer or in a similar role.
  • Strong skills in Python, SQL, and distributed data processing.
  • Solid experience with modern cloud platforms.
  • Experience with orchestration and transformation tools.
  • Experience with containerization and deploying applications.

Responsabilités

  • Design and implement scalable data architectures and ETL/ELT pipelines.
  • Build and orchestrate reliable data workflows using modern tools.
  • Ensure data quality, governance, and security.
  • Collaborate with data scientists and ML engineers.
  • Contribute to machine learning and AI initiatives.

Connaissances

Python
SQL
Distributed data processing (Spark/PySpark)
Modern cloud platforms (Azure, AWS, GCP)
Orchestration tools (Airflow, dbt)
CI/CD
Kubernetes
Data Science / Machine Learning

Description du poste

Mpya Sci & Tech AB in Gothenburg is seeking a Senior Data Engineer to join their Data team. You will design scalable data architectures and robust ETL/ELT pipelines while collaborating with diverse client projects in various industries.

The ideal candidate has strong skills in Python and SQL, experience with modern cloud platforms, and an engineering mindset. The role offers opportunities to influence technical decisions and contribute to machine learning initiatives.

The company fosters a culture of inclusion, bravery, and curiosity, ensuring a sustainable working life.

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