mid Data Engineer

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MidFull-time
#322540·Dodano 27 dni temu·24
Źródło: nofluffjobs.com
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Tech Stack / Keywords

PythonSparkData engineeringDatabricksAzureSQLAirflowMLOpsAzure DevOps Server

Firma i stanowisko

You will join an engineering team responsible for building modern cloud data lake / data platform solutions. Tools like Databricks, cloud-native services, and CI/CD pipelines will be your daily drivers. Expect a wide variety of projects, support from exceptional engineers, and a culture of knowledge sharing, openness, and practical growth in your chosen direction.


Wymagania

  • 2+ years of experience as a Data Engineer or in a similar data engineering-focused role.
  • 1+ year of experience working with cloud platforms (Azure preferred, AWS or GCP also welcome).
  • 2+ years of Python experience with strong coding skills and confidence in writing clean, production-ready code.
  • 2+ years of SQL experience and hands-on experience with relational databases (SQL Server, PostgreSQL, or similar).
  • Understanding of DWH data modeling and ETL/ELT development.
  • General awareness of cloud architecture, networking, and security concepts.
  • Creativity, openness to innovation, and a willingness to grow in dynamic, fast-evolving projects.

Nice to have:

  • Airflow
  • MLOps
  • Azure DevOps Server

Obowiązki

  • Building and launching data pipelines and data models in cloud environments (Azure is our main ecosystem).
  • Close collaboration with clients - gathering requirements, discussing solutions, communicating progress clearly.
  • Implementing best practices in data engineering: data integrity, quality checks, testing, documentation, and data lineage.
  • Optimizing existing analytical solutions for performance, cost efficiency, and reliability.
  • Contributing to cloud architecture design and standards (security, governance, scalability).
  • Working with CI/CD, automation, monitoring, and production-ready processes (DataOps).
  • Supporting integrations across BI/ML/DevOps teams.

Oferta

  • Sport subscription
  • Training budget
  • Private healthcare
  • Flat structure
  • Small teams
  • International projects
  • Startup atmosphere
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