Senior Data Engineer (m/f/d)

Qualysoft
Wien, Austria
Hybrid

Who this role is best for

Candidates with regulated industry experience and strong data pipeline expertise will find this remote-friendly role in finance with high ownership potential.

Best fit for

  • Senior Data Engineers with banking experience and cloud platform skills in regulated environments
    — “Experience in banking / financial services or other regulated industries”
  • Individuals who thrive in fully remote setups with occasional on-site visits
    — “Fully Remote, on-site presence only every few months”
  • Professionals who excel in designing scalable data workflows and optimizing data models
    — “Build and optimize data models and data warehouse / lakehouse structures”

Things to consider

  • Fluency in English is mandatory for communication with stakeholders
    — “Fluent English (spoken and written)”

How to stand out

  • Highlight experience with regulated data environments and compliance-driven workflows
    — “design, build and operate scalable data pipelines and data platform components in a regulated enterprise environment”
  • Emphasize your ability to deliver end-to-end data solutions with cross-functional collaboration
    — “Work closely with analysts, architects and business stakeholders”
  • Showcase your hands-on experience with Spark and cloud data platforms like Databricks or Snowflake
    — “Experience with Spark and/or cloud data platforms (Azure, AWS or GCP, e.g. Databricks, Snowflake)”
  • Demonstrate your expertise in CI/CD and automation practices for data workflows
    — “Contribute to CI/CD, automation and engineering best practices”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design, develop, and maintain robust batch and streaming data pipelines
  • Build and optimize data models and data warehouse structures
  • Ensure data quality and performance of data workflows
Typical background
Several years of experience as a Data EngineerExperience in banking or financial services

Skills & requirements

Required

Data ModelingEtl/eltSQLPythonSparkCloud Data PlatformsOrchestration ToolsCI/CD

Preferred

Streaming ExperienceData GovernanceData Quality FrameworksGerman Language Skills

Stack & domain

SQLPythonScalaJavaSparkCloud Data PlatformsAzureAWSGCPDatabricksSnowflakeAirflowCI/CDData ModellingEtl/eltData GovernanceData QualityCollaborationCommunicationProblem-solvingTeamworkFinancial ServicesRegulated Industries

About the role

Original posting from Qualysoft via Lever

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

Utilization: 100%

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

Compensation:

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

Source: Qualysoft careers (Lever)

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