Senior Engineer, Data Engineering

Xebia; Madrid; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading digital consulting firm in Comunidad de Madrid is seeking a Senior Data Engineer to design and deliver scalable data solutions. The ideal candidate has over 6 years of experience in data engineering, strong proficiency in Python, and expertise with GCP services. You will work on high-performance data platforms and pipelines while mentoring junior engineers. This role offers an opportunity to engineer robust systems and optimize workflows for enhanced data insights.

Formación

• 6+ years of experience in a senior data engineering or backend data role.
• Strong proficiency in Python with hands-on experience building data processing pipelines.
• Expertise with GCP services, especially GCS, Cloud Run, GKE, BigQuery, and Dataflow.

Responsabilidades

• Deliver scalable and robust data systems for clients worldwide.
• Engineer data platforms with a strong focus on performance, security, and reliability.
• Design and develop data processing pipelines (batch and streaming).
• Integrate heterogeneous data sources and optimize processing workflows.
• Work closely with analysts to enhance data accessibility and insights.

Conocimientos

Python

GCP services

SQL

Docker

Kubernetes

Terraform

PowerBI

Version control (Git)

Data orchestration tools

Descripción del empleo

Overview

For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting‑edge technology and game‑changing consulting to companies on the brink of AI‑driven digital transformation. Since 2001, we have grown into a full‑service digital consulting company with 5,500+ professionals working on a worldwide ambition.

Fuelling the growth of our company with our knowledge‑worker culture. When teaming up with Xebia, expect in‑depth expertise based on an authentic, value‑led, and high‑quality way of working that inspires all we do. We welcome all individuals and evaluate solely on the quality of their work and teamwork.

Data Engineer at Xebia, you will partner with engineering, product, and data teams to design and deliver scalable, high‑performance data solutions. You will build and optimize data platforms and pipelines, implement cloud‑native architectures, and mentor junior engineers while promoting engineering excellence across teams.

Responsibilities

• Deliver scalable and robust data systems for clients worldwide.
• Engineer data platforms with a strong focus on performance, security, and reliability.
• Design and develop data processing pipelines (batch and streaming).
• Integrate heterogeneous data sources and optimize processing workflows.
• Work closely with analysts to enhance data accessibility and insights.

Qualifications

• 6+ years of experience in a senior data engineering or backend data role.
• Strong proficiency in Python with hands‑on experience building data processing pipelines.
• Expertise with GCP services, especially GCS, Cloud Run, GKE, BigQuery, and Dataflow.
• Advanced SQL skills and solid understanding of relational and NoSQL databases.
• Experience with data orchestration/workflow tools (Nextflow, Airflow, etc.).
• Strong experience building cloud‑native data solutions, particularly on GCP.
• Proficiency in Docker and experience deploying workloads on Kubernetes.
• Experience with version control (Git) and collaborative engineering workflows.
• Excellent English communication (written and spoken).
• Knowledge of Terraform for IaC.
• Experience with PowerBI or similar BI tools.
• Running models in Docker / Kubernetes).