Senior Data Engineer - Scale Pipelines & Data Models Equity

Smartness Srl; Österreich; Remote; EUR 45,000 - 67,000; Full time

Benefits offered by this job

Equity opportunity

Competitive compensation

Rapid growth environment

Job summary

Smartness is seeking a Senior Data Engineer in Austria to design, build, and maintain scalable data infrastructures that turn raw data into reliable, actionable insights. You’ll own data pipelines end-to-end and ensure data quality, performance, and availability across the organization.

Collaborate with Product, Tech, Analytics and Business teams to translate data needs into scalable solutions, develop data models and warehouses, and advance the data stack with cloud platforms and orchestration

Qualifications

• 3+ years of experience as a Data Engineer or in similar data roles.
• Experience with cloud data platforms (AWS, GCP, or Azure) and modern data warehouses.
• Strong SQL, data modeling, ETL/ELT patterns and data quality practices.

Responsibilities

• Design, build, and maintain robust data pipelines (ETL/ELT).
• Develop data models and warehouses to support analytics, reporting, and data-driven decision making.
• Ensure data quality, reliability, and performance across pipelines and data stores.
• Collaborate closely with Product, Tech, Analytics and Business teams to translate data needs into scalable solutions.
• Enable analytics by providing clean, well-documented datasets for use across teams.
• Drive continuous improvement of the data stack, tooling and best practices.

Skills

Data pipelines

Data modeling

SQL

ETL/ELT

Data quality

Cloud platforms

Distributed computing

Fluent English

Tools

Airflow

Dagster

Spark

Job description

Smartness is seeking a Senior Data Engineer in Austria to design, build, and maintain scalable data infrastructures that turn raw data into reliable, actionable insights. You’ll own data pipelines end-to-end and ensure data quality, performance, and availability across the organization.

Collaborate with Product, Tech, Analytics and Business teams to translate data needs into scalable solutions, develop data models and warehouses, and advance the data stack with cloud platforms and orchestration