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Senior Analytics Engineer: Build Trusted Data Products & Kpis

Team Blue
Madrid, Spain
30 days ago
Apply on www.buscojobs.com.es
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Role details

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

Tech stack

Artificial Intelligence Data Analysis Standard Sql Databricks

Job description

team.blue in Barcelona seeks an experienced Analytics Engineer to join our AI & Data function, shaping analytics-ready datasets and KPIs across multiple data domains.You will transform raw data into trusted data products and partner with analytics engineers, data engineers, and business stakeholders to deliver reliable insights.The role requires strong dbt and Databricks expertise, deep SQL skills, and the ability to work autonomously while communicating clearly with teams across Europe.#J-*****-Ljbffr

Requirements

You will transform raw data into trusted data products and partner with analytics engineers, data engineers, and business stakeholders to deliver reliable insights. The role requires strong dbt and Databricks expertise, deep SQL skills, and the ability to work autonomously while communicating clearly with teams across Europe. #J-*****-Ljbffr

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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

Explore playlists

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:49 min

Building the machine learning engineering pipeline

Dora Petrella · World Congress 2023

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World Congress 2023 • almost 3 years ago

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World Congress 2026 Europe • 2 months ago

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29:50
World Congress 2026 Europe • 2 months ago

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

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26:53
World Congress 2023 • almost 3 years ago

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Europe 2026 Virtual • 2 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

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