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Analytics Platform Engineer - Self-Service & Insights

Bme | Bolsas Y Mercados Españoles
Madrid, Spain
5 days ago
Apply on www.buscojobs.com.es
Prepare application

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

Data Analysis Microsoft Azure Python (Programming Language) Power BI SQL Databases Data Management Databricks

Job description

A leading financial organization in Madrid seeks an Analytics Engineer to develop a self-service ecosystem using tools like Azure and Power BI.The role involves building datasets, curating high-quality analytical components, and supporting users in their analytics needs.Ideal candidates will have strong skills in Azure, Databricks, SQL, Python, and Power BI, along with a degree in a technical field.A passion for teaching and improving user capabilities is essential, as well as experience with data modeling and analytics environments.#J-*****-Ljbffr

Requirements

Ideal candidates will have strong skills in Azure, Databricks, SQL, Python, and Power BI, along with a degree in a technical field. A passion for teaching and improving user capabilities is essential, as well as experience with data modeling and analytics environments. #J-*****-Ljbffr

About the company

A leading financial organization in Madrid seeks an Analytics Engineer to develop a self-service ecosystem using tools like Azure and Power BI.

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

Explore playlists

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

Videos

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58:21
LIVE • over 3 years ago

Data Science in Retail

Julian Joseph

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • 2 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

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

Viktoria Semaan

Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post thumbnail
20:43
Europe 2026 Virtual • 2 months ago

Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post

Lukas Alber

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
World Congress 2025 • about 1 year ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

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