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Data Engineering Analyst: Build End-To-End Data Pipelines

Consultancy Europe
Madrid, Spain
about 1 month ago
Apply on www.buscojobs.com.es
Prepare application

Role details

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

Tech stack

Big Data Information Engineering Python (Programming Language) Standard Sql Cloud Platform System Azure Data Factory Data Pipelines Databricks

Job description

Metyis is a global firm delivering Big Data, Digital Commerce, Marketing & Design solutions and advisory services.Based in Barcelona, we seek a data engineer to build and optimize end-to-end data pipelines, collaborate with data scientists, and contribute to scalable data solutions across industries.Ideal candidates have 1-2 years in data engineering, strong SQL and Python skills, and familiarity with cloud-based data platforms like Azure Data Factory and Databricks.#J-*****-Ljbffr

Requirements

Ideal candidates have 1-2 years in data engineering, strong SQL and Python skills, and familiarity with cloud-based data platforms like Azure Data Factory and Databricks. #J-*****-Ljbffr

About the company

Metyis is a global firm delivering Big Data, Digital Commerce, Marketing & Design solutions and advisory services.

Apply for this position

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

Apply on www.buscojobs.com.es
Prepare application

Good distractions

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

Moments

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3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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Why organizations combine big data and machine learning

Ayon Roy · LIVE

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Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

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World Congress 2023 • almost 3 years ago

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World Congress 2026 Europe • 3 months ago

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

Viktoria Semaan

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30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

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PySpark - Combining Machine Learning & Big Data

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World Congress 2024 • about 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

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