Senior Data Engineer: Scalable Data Pipelines & Platform

Qualifyze; Barcelona; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Truly flexible schedules

Regular company events

A selection of free drinks at the офис

Mentoring and career development

The hotel room is your office - work从另

Flexible compensation plan - Edenred /

Job summary

Qualifyze is seeking a Senior Data Engineer to join our Product & Tech team in Barcelona. You will design, build, and maintain scalable data pipelines and data products, owning end-to-end data features from ingestion to analytics delivery.

You will collaborate with product and backend engineers, stakeholders, and cross-functional teams to translate requirements into well-scoped data solutions, while improving data quality and observability across the platform.

Qualifications

• Strong data modeling skills including dimensional modeling
• Excellent SQL skills and PostgreSQL experience
• Proficiency in Python for ETL/ELT workflows with strong tests and observability
• Experience with data platforms, pipelines, and data products
• Knowledge of data orchestration tools (Dagster or Airflow)

Responsibilities

• Design, build, and maintain scalable data pipelines and products
• Own end-to-end data features from ingestion to analytics delivery
• Collaborate with product and backend engineers to translate requirements
• Improve data quality, testing, and code review standards
• Monitor pipelines, troubleshoot incidents, and enhance observability

Tools

PostgreSQL

Python

Dagster

Airflow

dbt

Liquibase

AWS

Spark

Data Modeling

Docker

Kubernetes

Job description

Qualifyze is seeking a Senior Data Engineer to join our Product & Tech team in Barcelona. You will design, build, and maintain scalable data pipelines and data products, owning end-to-end data features from ingestion to analytics delivery.

You will collaborate with product and backend engineers, stakeholders, and cross-functional teams to translate requirements into well-scoped data solutions, while improving data quality and observability across the platform.