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Data Engineer

Tecdata Engineering
Madrid, Spain
12 days ago
Apply on www.indeed.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Extract Transform Load (ETL) Github Python (Programming Language) Machine Learning SQL Databases Data Processing Google Cloud GitHub Copilot
+5 more
Backend Functional Programming Api Design Terraform Databricks

Requirements

Modalidad: Híbrida (2 días presenciales por semana). Para perfiles muy senior, se podrá valorar 1 día presencial., Más de 5 años de experiencia como Data Engineer o Backend Software Engineer.

Stack tecnológico:

Google Cloud Platform (GCP) (se valoran AWS, Azure y Databricks) SQL, dbt y Elementary Python (muy valorable Scala, R y Java) Administración de bases de datos (DBA) y modelos relacionales, columnares, documentales, de grafos y vectoriales ETL/ELT y procesamiento de datos en tiempo real y batch Machine Learning en producción e IA aplicada LangGraph y Langfuse Terraform, GitHub Actions y GitHub Copilot Arquitecturas API-first, programación funcional y orientada a objetos

Además, buscamos una persona con experiencia trabajando en equipos ágiles, multidisciplinares y con mentalidad de mejora continua, acostumbrada a desarrollar productos digitales de alto impacto.

Benefits & conditions

Salario: Abierto, según experiencia. Idioma: Inglés avanzado (CV en inglés).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

2:32 min

Refactoring bulk frontend operations into scalable backend methods

Noam Honig · LIVE

1:34 min

Essential commands for running and testing Terraform configurations

Hennie Francis · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:40 min

Using GitHub primitives for internal documentation and corporate operations

Kyle Daigle · Coffee With Developers

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 3 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Innovating Developer Tools with AI: Insights from GitHub Next thumbnail
42:38
LIVE • almost 2 years ago

Innovating Developer Tools with AI: Insights from GitHub Next

Krzystof Czieslak

Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • over 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

Infrastructure as Code: The Developer's Secret Weapon thumbnail
45:04
LIVE • about 2 years ago

Infrastructure as Code: The Developer's Secret Weapon

Hennie Francis

Modern Data Architectures need Software Engineering thumbnail
29:25
World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models thumbnail
27:07
World Congress 2025 • about 1 year ago

Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models

Kevin Lewis, Sandra Ahlgrimm

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