Remote Senior Data Engineer - Financial Analytics Platform

Qualysoft

Wien

Remote

EUR 81,000 - 89,000

Full time

2 days ago
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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

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.

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