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Domain Analytics Engineer - Data Warehouse Lead

Ebury
Madrid, Spain
3 months ago
Apply on www.jobleads.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Compensation
€45,000.0 - €65,000.0
Working hours
Regular working hours
Job source
www.jobleads.com

Tech stack

Data Analysis Data Warehousing Standard Sql

Job description

Ebury is seeking an Analytics Engineer in Madrid with a hybrid work model (4 days in office, 1 day WFH). You will own the data warehouse of your domain, ensuring high reliability and effectiveness.

Requirements

The ideal candidate has over 4 years of experience in analytics engineering, proficient in SQL and dbt, and a strong understanding of data product trustworthiness. Join us in creating trusted data assets for our organization.

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

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Prepare application

Good distractions

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

Moments

Explore playlists

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

3:22 min

Embracing polyglot persistence versus strictly relational databases

Stefan Priebsch · World Congress 2021

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

3:06 min

Automating image resizing and data streaming tasks

Menaka Baskerpillai · LIVE

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

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LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

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43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

How building an industry DBMS differs from building a research one thumbnail
30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

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

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Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse thumbnail
23:38
World Congress 2026 Europe • 3 months ago

Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse

Hellmar Becker

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

Data Science on Software Data

Markus Harrer

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