Databricks Engineer (Ref: 190211)

Forsyth Barnes
Madrid, Spain
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Shift work

Tech stack

Artificial Intelligence Microsoft Azure Python (Programming Language) Scaled Agile Framework SQL Databases Apache Spark AI Platforms Pyspark Databricks

Job description

Location: Hybrid - Barcelona, Mannheim, or Krakow (1-2 days on-site, flexible)Day Rate ContractStart Date: ASAPOverviewWe are seeking a skilled Databricks Engineer to join a growing AI engineering team on a contract basis.The role will support additional workload demands and contribute to building the technology infrastructure that underpins new features within a data and AI platform.This is an opportunity for an adaptable developer with strong problem-solving skills and intellectual curiosity to work across a variety of projects within a collaborative environment.Key ResponsibilitiesDevelop and maintain scalable features within the AI platform.Build and optimize technology infrastructure to support data and AI initiatives.Collaborate closely with data engineers, software engineers, and data scientists.Understand internal customer needs and deliver solutions effectively.Contribute to the creation of reusable recipes, packages, and tools for internal platform users.Core Skills & Experience3-5+ years of hands-on experience with Databricks (PySpark, SQL optimizations).Strong proficiency with Python, Spark, and the Microsoft Azure stack.Demonstrated ability to quickly learn new tools and technologies.Excellent problem-solving and analytical skills.Experience working in hybrid/Agile engineering environments.Strong communication and stakeholder collaboration abilities.Seniority levelMid-Senior levelEmployment typeContractJob functionInformation TechnologyIndustriesStaffing and Recruiting#J-*****-Ljbffr

Requirements

3-5+ years of hands-on experience with Databricks (PySpark, SQL optimizations). Strong proficiency with Python, Spark, and the Microsoft Azure stack. Demonstrated ability to quickly learn new tools and technologies. Excellent problem-solving and analytical skills. Experience working in hybrid/Agile engineering environments. Strong communication and stakeholder collaboration abilities.

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Good distractions

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

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

2:05 min

Enhancing Databricks tooling for software engineering workflows

Alan Mazankiewicz · LIVE

5:14 min

Executing Databricks jobs with built-in Airflow operators

Alan Mazankiewicz · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:38 min

Overview of Databricks and interactive data processing

Alan Mazankiewicz · LIVE

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

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