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Azure Data Engineer | 100% Remote @ Verita HR
Azure Data Engineer | 100% Remote @ Verita HRVerita HR • Remote, Czech Republic
Azure Data Engineer | 100% Remote @ Verita HR

Azure Data Engineer | 100% Remote @ Verita HR

Verita HR • Remote, Czech Republic
30+ days ago
Job description

📍  Client : european bank

🗣️ Recruitment : phone screen with our recruiter + 2 on-line meetings with hiring managers

🗺️ Remote work with availability within Central European Time (CET)

Verita HR is an international company providing recruitment support within #Fintech, #Finance and #Banking market in EMEA. We connect the most innovative organizations with the best people in the market. We conduct systematic market research, which allows our Digital Teams to be a step ahead of the competition.

This role sits at the heart of a large digital transformation within a European banking institution. Data is treated as a real business asset, not an afterthought. As a Data Engineer, you will help build and run a modern data platform that supports analytics, reporting, and business decision-making across the organization. You will work on a mix of cloud-based and on-prem solutions, focusing on reliable data pipelines, data quality, and scalable data processing.

What's in it for you :

  • Exciting role at a leading European bank
  • 6 months assignment, B2B contract (with option to extend)
  • Fully remote role with availability within Central European Time (CET)
  • Working with cutting-edge IT technologies
  • Personal growth and development opportunities
  • Strong skills in SQL , Python and Spark
  • Experience with Azure Data Factory and Databricks
  • Comfortable with JVM languages (e.g. Java, Scala)
  • Experience with CLI environments (bash, PowerShell)
  • Familiar with source code management (Git) and dependency management
  • Hands-on with ETL / ELT processes (batch, micro-batch, real-time)
  • Deep understanding of the data lifecycle
  • Solid experience with data quality (validation, profiling, cleansing & conforming)
  • Working knowledge of data formats and serialization
  • Familiarity with OLTP , OLAP and NoSQL databases
  • Knowledge of data lake architecture and cloud-native tools

Tech stack you will use :

  • SQL for data processing and analytics
  • Python for transformations and data quality logic
  • Azure Data Factory for ingestion (1-to-1 pipelines)
  • Databricks for transformations and data quality implementation
  • Azure-based data platform services
  • Git or similar source code management tools
  • CLI environments (bash, PowerShell)
  • 📍  Client : european bank

    🗣️ Recruitment : phone screen with our recruiter + 2 on-line meetings with hiring managers

    🗺️ Remote work with availability within Central European Time (CET)

    Verita HR is an international company providing recruitment support within #Fintech, #Finance and #Banking market in EMEA. We connect the most innovative organizations with the best people in the market. We conduct systematic market research, which allows our Digital Teams to be a step ahead of the competition.

    This role sits at the heart of a large digital transformation within a European banking institution. Data is treated as a real business asset, not an afterthought. As a Data Engineer, you will help build and run a modern data platform that supports analytics, reporting, and business decision-making across the organization. You will work on a mix of cloud-based and on-prem solutions, focusing on reliable data pipelines, data quality, and scalable data processing.

    What's in it for you :

  • Exciting role at a leading European bank
  • 6 months assignment, B2B contract (with option to extend)
  • Fully remote role with availability within Central European Time (CET)
  • Working with cutting-edge IT technologies
  • Personal growth and development opportunities
  • ,[ Build and maintain robust data pipelines (batch, micro-batch, real-time), Work with both structured and unstructured data from diverse sources, Transform raw data into trusted, value-adding assets for business use, Implement data quality frameworks (validation, profiling, cleansing), Manage storage, metadata and master data for the entire platform, Support modern orchestration processes and pipeline automation, Ensure systems are scalable, cost-effective, and easy to maintain] Requirements : Azure, SQL, Python, ETL, Data engineering, Azure Data Factory, Azure Databricks, Spark, Bash, Git, Java, Scala, JVM Tools : Agile, Scrum. Additionally : Flat structure, Small teams, International projects.

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    Azure Data Engineer 100 Remote Verita HR • Remote, Czech Republic

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