Senior Data Engineer (m/f/d)

Qualysoft; Wien; Remote; EUR 81,000 - 89,000; Full time

Job summary

Qualysoft, a trusted technology partner, is seeking a Senior Data Engineer for a major financial services client. The role focuses on designing, building, and operating scalable data pipelines and platform components in a regulated environment.

Start: December 26 / January 27. Duration: 12 months. Work model: Fully remote with on-site presence only every few months. Daily rate: €440–€480. This demanding role requires strong SQL, Python, and experience with Spark and cloud platforms.

Qualifications

• Several years of hands-on data engineering experience at senior level.
• Experience in banking/financial services or regulated industries.
• Strong SQL and Python; or Scala/Java.
• Experience with Spark and cloud data platforms (Azure, AWS, GCP).
• Experience with orchestration tools (Airflow) and CI/CD.
• Knowledge of data modelling and ETL/ELT concepts.
• Fluent English in speech and writing.

Responsibilities

• Design, build and operate scalable batch and streaming data pipelines.
• Model and optimize data warehouse/lakehouse structures.
• Ensure data quality, lineage, monitoring and performance.
• Collaborate with analysts, architects and stakeholders.
• Contribute to CI/CD and engineering best practices.

Skills

Data engineering

SQL

Python

Spark

Airflow

Cloud data platforms

Databricks

Snowflake

CI/CD

ETL/ELT

Data modelling

English

Tools

Databricks

Snowflake

Azure

AWS

GCP

CI/CD

Job description

Project description

For a leading financial services client we are looking for a Senior Data Engineer to design, build and operate scalable data pipelines and data platform components in a regulated enterprise environment.

Start: December 26/January 27

Duration: 12 months

Utilisation: 100%

Work model: Fully Remote, on-site presence only every few months

€440 - €480 a day

Your tasks

• Design, develop and maintain robust batch and streaming data pipelines
• Build and optimize data models and data warehouse / lakehouse structures
• Ensure data quality, lineage, monitoring and performance of data workflows
• Work closely with analysts, architects and business stakeholders
• Contribute to CI/CD, automation and engineering best practices

Must-have

• Several years of hands-on experience as a Data Engineer (senior level)
• Experience in banking / financial services or other regulated industries
• Strong SQL and Python (or Scala/Java)
• Experience with Spark and/or cloud data platforms (Azure, AWS or GCP, e.g. Databricks, Snowflake)
• Experience with orchestration tools (e.g. Airflow) and CI/CD
• Solid knowledge of data modelling and ETL/ELT concepts
• Fluent English (spoken and written)

Nice-to-have

• Streaming experience (e.g. Kafka)
• Knowledge of data governance and data quality frameworks
• German language skills

Why Join?

This is an exciting opportunity to shape business-critical analytics solutions for a leading financial services client, working in a modern, data-driven environment with high visibility and ownership