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Data Engineer: Build Scalable Pipelines & Insights

Freudenberg
Málaga, Spain
16 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

Microsoft Azure Information Engineering Data Stores Python (Programming Language) Machine Learning Standard Sql Azure Data Factory Build Management Microsoft Fabric Data Pipelines Databricks

Job description

Freudenberg is seeking a Data Engineer to design and build scalable data pipelines, acquire and store data securely, and transform raw data into actionable insights to meet business objectives.You will collaborate with machine learning engineers, data scientists, and analysts, applying Python and SQL expertise and tools like Databricks, Azure Data Factory, and Microsoft Fabric on Azure.A Bachelor’s degree in CS or Data Engineering is preferred, along with practical experience building modern#J-*****-Ljbffr

Requirements

A Bachelor’s degree in CS or Data Engineering is preferred, along with practical experience building modern #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
Prepare application

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 · World Congress 2026 Europe

2:20 min

Decoupling user data with decentralized web nodes

Angie Jones Angie Jones · World Congress 2023

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

6:23 min

Visualizing data pipelines using Azure Machine Learning Designer

Jose Luis Latorre Millas · LIVE

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all
Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

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

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
28:41
World Congress 2025 • about 1 year 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
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

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 3 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

Oleksandra Bovkun

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

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