Data Engineer (A1079)

itMatch

Wien

Vor Ort

EUR 70.000 - 100.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Remote collaboration
On-site visits in Vienna or Bratislava
Full-time project Jun–Nov 2026

Zusammenfassung

itMatch in Vienna is seeking a Data Engineer to join a PoC project focused on treasury data for a leading financial institution. You will design and implement data pipelines, migrate data to a cloud-based warehouse, and work with Databricks and Apache Spark in an agile environment.

The role emphasizes modern data tooling, strong Python and SQL skills, and collaboration with technical and business teams. Primarily remote work with occasional on-site visits in Vienna.

Qualifikationen

  • Experience with Python development.
  • Advanced knowledge of SQL / Transact-SQL.
  • Hands-on experience with ETL processes and data integration.
  • Experience with Apache Spark and Databricks.
  • Knowledge of workflow management tools; SSIS is a plus.

Aufgaben

  • Design and implement data pipelines for migrating treasury data to a cloud-based data warehouse.
  • Collaborate on back-end development, SQL/T-SQL scripting, and ETL processes in Spark/Databricks environment.
  • Work with technical and business teams to define workflows and optimize data processes.
  • Operate in an agile, technology-driven environment with focus on solution quality.
  • Contribute to a PoC project delivering tangible data architecture improvements.

Kenntnisse

Python development
SQL/Transact-SQL
ETL processes
Data governance awareness
Data quality

Tools

Databricks
Apache Spark
SSIS
ANTLR
Workflow tools

Jobbeschreibung

We are looking for a Data Engineer to join a Proof of Concept (PoC) project focused on treasury data for a leading financial institution in Vienna. If you have strong Python skills, experience building data pipelines, and enjoy working in a modern data environment without unnecessary corporate bureaucracy, this opportunity will allow you to see the real impact of your work.

You will play a key role in modernizing and migrating a data warehouse to the cloud using technologies such as Databricks, Apache Spark, and ETL workflow tools. The position offers a combination of technical challenges, clearly defined objectives, and the opportunity to contribute to a high-value project.

Apply now and become part of a project that is taking data architecture to the next level.

What will be your key responsibilities:

Your primary responsibility will be to design and implement data pipelines while supporting the migration of treasury data into a new cloud-based data warehouse. You will work with bback-end development, SQL/T-SQL scripting, and ETL processes in an Apache Spark and Databricks environment. You will also collaborate closely with technical and business teams to define workflows and optimize data processes. The project is delivered in an agile, technology-driven environment with a strong focus on solution quality and effective collaboration.

What experience should you have:
  • Experience with Python development
  • Advanced knowledge of SQL / Transact-SQL
  • Hands-on experience with ETL processes and data integration
  • Experience with Apache Spark and Databricks
  • Knowledge of workflow management tools
  • Experience with SSIS
  • Familiarity with ANTLR is an advantage
  • Nice to have: experience with Data Quality and Data Governance
What do you get in return:
  • An exciting international project in the financial sector
  • Exposure to modern cloud and data technologies
  • Primarily remote collaboration with occasional on-site visits in Vienna or Bratislava
  • Full-time engagement from June to November 2026
  • A technically focused environment with minimal corporate overhead
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