Senior Data Engineer

Netquest; Barcelona; Híbrido; EUR 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Permanent contract

Private medical insurance

Flexible remuneration plan

Flexible working hours

Hybrid model

Multicultural team

Descripción de la vacante

Netquest in Barcelona is seeking a Senior Data Engineer to help build scalable data pipelines and reliable data platforms. You will collaborate with a cross-functional team to raise engineering standards, implement governance, and improve observability across data systems.

The role emphasizes growth, learning, and impact within a collaborative tech-focused environment, tackling complex ETL workloads and monitoring to ensure trusted data for internal and external clients.

Formación

• Solid background as a Data Engineer at senior level.
• Advanced Python and SQL skills.
• Experience with data pipelines and reliability.
• Familiarity with ETL/ELT processes and data governance.

Responsabilidades

• Design, implement, and scale data pipelines from scratch.
• Establish Data Contracts and Quality Gates across ETL/ELT.
• Set up SLI/SLOs, automated alerting, and incident management.
• Balance cost, performance, and maintenance for scalable pipelines.

Conocimientos

Python

SQL

Airflow

Spark

AWS

CI/CD

Docker

Terraform

dbt

Great Expectations

Prometheus/Grafana

Data Quality

Herramientas

AWS (S3, Redshift, Athena, EMR)

Descripción del empleo

At Netquest, we are looking for a Senior Data Engineer to join our team in Barcelona. We want someone eager to grow, learn, and make a real impact within a dynamic, collaborative, and tech-focused organization.

At Netquest, we are part of the most innovative and advanced digital data collection group in the market research and analytics industry. We rely on over 2.7 million consumers across 27 countries who share their opinions and behavioral data with us. Our ambition is to be the most reliable, flexible, and powerful data source on the market, shaping the future of market research through automation and innovation.

Our Data Team cover the three main pillars of the industry: Data Science, Data Analytics, and Data Engineering. Currently, we have met the existing needs in each area; now, we are transitioning from "making it work" to "making it infallible."

Your mission will be to actively contribute to and help define the gold standard for data reliability and observability within our ecosystem. Working closely with the Team Lead and the rest of the team, you will be a vital technical partner in elevating our engineering excellence.

Your Responsibilities

While we utilize a broad tech stack, we don’t expect you to be an expert in every single area listed below. We are looking for a solid foundation in data engineering and reliability, combined with the curiosity and ability to learn new technologies quickly as our ecosystem evolves.

Data Design Strategy & Architecture

• Ability to design, implement, and scale data pipelines from scratch, choosing between scale-up and scale-out approaches based on workload requirements.
• Deep understanding of data modeling, schema evolution, and the implementation of Data Governance principles across the organization.
• Mastery of best practices in design patterns for data transformation and a proven track record of implementing Idempotency, Data Lineage, and Reusability in complex environments.

Data Quality & Reliability (Our Key Focus)

• Experience creating and promoting Data Contracts and Quality Gates at every stage of the ETL/ELT process.
• Experience setting up SLIs/SLOs for data pipelines, automated alerting, and proactive incident management to ensure high data availability.
• Advanced focus on maintaining data health, monitoring intermediate data states, and ensuring integrity during reprocessing or backfilling.
• Deep understanding of unit, integration, and sanity testing specifically tailored for large-scale data processing and workloads.

Operational & Business Impact

• Ability to balance cost, performance, and maintenance when designing pipelines, focusing on long‑term sustainability.
• Understanding how software changes or architectural shifts impact data delivery to both internal and external clients.

What We Are Looking For

• Experience: Solid background as a Data Engineer (Senior level).
• Languages: Python and SQL (Advanced level).
• Pipelines & Processing: Airflow, Spark, or similar.
• Cloud: AWS (S3, Redshift, Athena, EMR) or equivalent.
• English: Advanced level (B2/C1).
• Data Quality: Experience with (or strong interest in) tools like dbt, Great Expectations, OpenMetadata, Deequ, Prometheus/Grafana, or Monte Carlo.
• DevOps: CI/CD, Docker, Terraform (or equivalents).
• Soft Skills: Ability to work in a team and communicate technical solutions clearly.
• Mindset: A quality‑oriented, reliability‑driven approach focused on continuous improvement and defining industry standards.

What We Offer at Netquest

• Permanent contract.
• Private medical insurance (50% covered for the employee).
• Flexible remuneration plan: Meal vouchers (Ticket Restaurant), transport, and childcare.
• Flexible working hours: Entry between 8:00–10:00 and exit between 17:00–19:00. Intensive schedule on Fridays.
• Hybrid model: 2 days in the office and the rest remote.
• A multicultural team: Work in an international and diverse environment.

A Diverse Team for a Global World

At Netquest, we are proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, age, background, or nationality.