Senior Data Engineer: Data Lakehouse, AI & Dashboards

Workatbackbase

Kraków

On-site

PLN 120,000 - 210,000

Full time

3 days ago
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Job summary

Workatbackbase is hiring a Data Engineer to design, develop, test, and implement data solutions for our Engaging Banking Platform. You will work on data ingestion, processing, validations, and visualisation within a Lakehouse architecture, with emphasis on quality and governance.

You will build scalable AI-enabled data workflows, rigorous data pipelines, and dashboards used by banks worldwide. Collaboration with cross-functional teams will be key in delivering reliable, compliant data platforms.

Qualifications

  • A Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 5+ years of experience in data engineering, preferably in Databricks.
  • Strong skills in Python, SQL and Java; database programming expertise.
  • Experience with Data Lakehouse concepts and Delta Lake; data governance awareness.
  • Cloud experience with AWS or Azure; excellent problem-solving skills.

Responsibilities

  • Develop and maintain data pipelines and objects in Data Lakehouse.
  • Create and maintain data ingestion from multiple sources (RDBMS, CDC, streaming).
  • Develop data models to support reporting and analytics; contribute to AI models.
  • Build interactive dashboards/reports with visualizations alongside UX designers.
  • Collaborate with cross-functional teams to translate requirements into data-driven solutions.

Skills

Python
SQL
Java

Education

Bachelor's or Master's in Computer Science / Data Science

Tools

Azure Databricks
Delta Lake
Microsoft Fabric
Azure Blob
Cosmos DB
Azure Key Vault
GitHub Actions
PySpark

Job description

Workatbackbase is hiring a Data Engineer to design, develop, test, and implement data solutions for our Engaging Banking Platform. You will work on data ingestion, processing, validations, and visualisation within a Lakehouse architecture, with emphasis on quality and governance.

You will build scalable AI-enabled data workflows, rigorous data pipelines, and dashboards used by banks worldwide. Collaboration with cross-functional teams will be key in delivering reliable, compliant data platforms.

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