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Azure Data Engineer: Pipelines, Analytics & Impact

Metyis
Madrid, Spain
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Languages
English, Spanish
Job source
www.buscojobs.com.es

Tech stack

Data Analysis Information Engineering Data Warehousing Python (Programming Language) SQL Databases Data Processing Azure Data Factory Data Analytics Databricks

Job description

Metyis is seeking a data engineer to join our Barcelona team.You will own end-to-end data handling, from ingestion to analytics, collaborating with data scientists and stakeholders to enable data-driven decisions.The role requires 1-2 years in data engineering, proficiency in SQL and Python, and experience with Databricks or pay-as-you-go DWH technologies.Fluency in English and Spanish is essential.#J-*****-Ljbffr

Requirements

You will own end-to-end data handling, from ingestion to analytics, collaborating with data scientists and stakeholders to enable data-driven decisions. The role requires 1-2 years in data engineering, proficiency in SQL and Python, and experience with Databricks or pay-as-you-go DWH technologies. Fluency in English and Spanish is essential. #J-*****-Ljbffr

Apply for this position

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

Apply on www.buscojobs.com.es

Good distractions

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

Moments

Explore playlists

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · WWC 2024

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

6:23 min

Visualizing data pipelines using Azure Machine Learning Designer

Jose Luis Latorre Millas · LIVE

Videos

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58:21
LIVE • about 3 years ago

Data Science in Retail

Julian Joseph

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
WWC 2024 • almost 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
WWC Europe 2026 • about 1 month ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

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

Sandhya Menon

Data Science on Software Data thumbnail
48:10
WWC 2021 • about 5 years ago

Data Science on Software Data

Markus Harrer

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • about 1 month ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

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