Data Engineer (44457)

CoolPeople Technology; Wien; On-site; EUR 70,000 - 110,000; Full time

Job summary

CoolPeople Technology is seeking a Data Engineer in Austria to design, build, and maintain Databricks-based data pipelines and analytical structures. You will develop transformations with Spark/PySpark and leverage advanced SQL to support reporting on Tableau.

In a banking/financial context, you will ensure data quality, performance, and alignment with controlling and management reporting needs while collaborating with analysts, architects, and cross-functional teams in an international setting.

Qualifications

• 5+ years of relevant experience with Databricks, Spark/PySpark, advanced SQL, ETL/ELT solutions and dimensional modelling.
• Experience in a banking/financial environment and understanding of controlling and management reporting.
• Experience with Agile/Scrum and collaboration in an international team.
• Independence, analytical thinking and ownership of deliverables.
• English for work communication (C1).

Responsibilities

• Analyze source systems and design data integration flows.
• Design and develop ETL/ELT processes in Databricks.
• Develop transformations using Spark/PySpark.
• Build and maintain analytical data models and data marts.
• Ensure quality and performance of data processing.
• Support testing, deployment and production operations.
• Collaborate with analysts, reporting developers, architects and business.
• Contribute to architecture and implementation decisions.

Skills

Databricks

Spark/PySpark

Advanced SQL

ETL/ELT

Dimensional modelling

Banking/financial domain

Agile/Scrum

English (C1)

Ownership of deliverables

Tools

Databricks

Spark/PySpark

Tableau

SQL

ETL/ELT

Data warehousing

Dimensional modelling

Job description

A strategic controlling analytics programme at an international banking group is strengthening its team with a Data Engineer.

The role covers the design, development and maintenance of data pipelines and analytical data structures on a Databricks-based platform, with Tableau used for reporting.

Required are 5+ years of experience with Databricks, Spark/PySpark, advanced SQL, ETL/ELT solutions and dimensional modelling.

Project

• Analysis of source systems and design of data integration
• Design and development of ETL/ELT processes in Databricks
• Development of transformations using Spark/PySpark
• Building and maintaining analytical data models and data marts
• Ensuring quality, consistency and performance of data processing
• Support for testing, deployment and production operation
• Collaboration with analysts, reporting developers, architects and business
• Involvement in architecture and implementation decisions

Skills

• 5+ years of relevant experience
• Strong hands-on experience with Databricks development
• Advanced SQL
• Strong programming experience with Spark/PySpark
• Experience designing and implementing ETL/ELT solutions
• Knowledge of data warehousing and dimensional modelling
• Experience with performance optimisation of data processing and troubleshooting data issues
• Experience in a banking/financial environment and understanding of controlling and management reporting
• Experience with Agile/Scrum and collaboration in an international team
• Independence, analytical thinking and ownership of deliverables
• English for work communication (C1)

Nice to have

• Experience with enterprise analytics platforms and large-scale data ecosystems
• Knowledge of data governance and data quality frameworks
• Experience with data support for financial KPIs, profitability and cost reporting
• Knowledge of Tableau and experience preparing data for reporting