Senior Software Engineer in Test, Data / ETL (Remote - EMEA)

Jobgether; España; A distancia; EUR 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Unlimited paid time off

Comprehensive health insurance

Professional development stipend

Employee stock option plan

Descripción de la vacante

A leading software company is seeking a Senior Software Engineer in Test specializing in Data and ETL for a fully remote position. The ideal candidate will ensure data quality and design test automation frameworks for large-scale systems, collaborate with teams, and lead validation strategies. This role offers unlimited paid time off, comprehensive health insurance, and a professional development stipend.

Formación

• 6+ years in QA, SDET, or Data Testing roles.
• 4+ years of programming experience in Python.
• Expertise with ETL frameworks and cloud environments.

Responsabilidades

• Lead validation and observability efforts for data pipelines.
• Design and maintain automated testing frameworks.
• Integrate validation processes into CI/CD pipelines.

Conocimientos

QA expertise

Python programming

Data orchestration

Cloud deployment

SQL knowledge

Problem-solving skills

Leadership

Herramientas

Airflow

BigQuery

Terraform

Descripción del empleo

Senior Software Engineer in Test, Data / ETL (Remote - EMEA)

We are looking for a Senior Software Engineer in Test specializing in Data and ETL, based in EMEA. As a central role, you will ensure data quality, performance, and reliability across large‑scale, cloud‑native systems. You will design and implement test automation frameworks, enhance observability, and lead data validation strategies for distributed environments built on modern cloud platforms.

Accountabilities

• Lead validation and observability efforts for complex data pipelines powered by BigQuery, Airflow, Cloud Run, and Firestore.
• Design and maintain automated testing frameworks to ensure the integrity and scalability of ETL workflows, APIs, and microservices.
• Establish and enforce quality gates for data transformations, ensuring accurate and consistent data delivery.
• Integrate automated validation processes into CI/CD pipelines (e.g., GitHub Actions) for continuous deployment reliability.
• Plan and execute manual and automated tests to monitor data reliability, performance, and compliance.
• Collaborate with engineering teams to enhance scalability, maintainability, and system performance.
• Mentor peers in test automation, observability practices, and data validation techniques.
• Contribute to continuous process improvement through defect analysis, documentation, and feedback loops.

Requirements

• 6+ years of experience in QA, SDET, or Data Testing roles, with demonstrated success improving data reliability at scale.
• 4+ years of hands‑on programming experience in Python (TypeScript experience is a plus).
• Expertise with cloud‑based data orchestration and ETL frameworks such as Airflow, Prefect, Dagster and data warehouses like BigQuery, Snowflake, or Redshift.
• Strong knowledge of SQL, NoSQL, and distributed databases, focusing on troubleshooting and data validation for high‑volume systems.
• Proven experience deploying and maintaining systems in GCP or similar cloud environments, using IaC tools like Terraform or Pulumi.
• Solid understanding of CI/CD pipelines, microservices architecture, and SaaS product development lifecycles.
• Excellent communication, problem‑solving, and leadership skills, with the ability to mentor and influence technical teams.
• Bonus points for experience with Playwright, FinOps, performance testing, or security best practices (e.g., PoLP).

Benefits

• Fully remote role with flexible working hours across EMEA.
• Unlimited paid time off and parental leave options.
• Comprehensive health insurance coverage.
• Employee stock option plan and home office allowance.
• Professional development stipend to support continuous learning.
• Peer recognition programs and a strong, inclusive team culture.
• Work in a diverse, global environment that values autonomy, collaboration, and innovation.