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Remote Senior Databricks Architect & Admin

EUROPEAN DYNAMICS SA.
Valencia, Spain
7 days ago

Role details

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

Tech stack

Microsoft Azure Continuous Integration Data Architecture Apache Spark Pyspark Databricks

Job description

EUROPEAN DYNAMICS seeks a Senior Databricks Administrator/Architect to join our Development team remotely, fluent in English. You will partner with a major client’s IT team to architect scalable data platform solutions on Azure Databricks and related services.You will design governance, security, and CI/CD pipelines, optimize workloads, and help migrate legacy warehouses to a modern Lakehouse architecture. Strong Azure, Spark, PySpark skills required.#J-*****-Ljbffr

Requirements

EUROPEAN DYNAMICS seeks a Senior Databricks Administrator/Architect to join our Development team remotely, fluent in English. You will partner with a major client’s IT team to architect scalable data platform solutions on Azure Databricks and related services. You will design governance, security, and CI/CD pipelines, optimize workloads, and help migrate legacy warehouses to a modern Lakehouse architecture. Strong Azure, Spark, PySpark skills required. #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

Good distractions

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

Moments

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1:41 min

Visualizing the complex developer journey for JVM ecosystems

Bobur Umurzokov · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · WWC Europe 2026

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · WWC 2024

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WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

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29:50
WWC Europe 2026 • about 1 month ago

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

Viktoria Semaan

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26:53
WWC 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

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24:36
Europe 2026 Virtual • about 1 month ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

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Empowering Retail Through Applied Machine Learning thumbnail
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WWC 2024 • almost 2 years ago

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