Talantix.io
DATAPAO•02.03.26
AI SCORE 8.5

Senior AI Engineer - Databricks Remote Position

$75K–$85K/year
RemoteAI/Big Data
Databricks•PySpark•SQL•Delta Lake•Unity Catalog•MLOps•Python•Data Visualization•Cloud Platforms

About the Role

We are seeking a Senior AI Engineer to join DATAPAO remotely in Spain. As a pivotal member of our team, you will spearhead Machine Learning and generative AI projects on the Databricks platform, utilizing cutting-edge technologies to deliver impactful solutions for our clients.

What You'll Do

  • Lead or participate in project planning, scoping engagements, and designing high-level architecture.
  • Deliver projects independently or as a technical lead within a mixed team of AI and Data Engineers.
  • Act as the primary client interface during project delivery, ensuring effective communication and project success.
  • Provide ML and Data Science consultancy to technical teams for our EMEA customers.
  • Work closely with Databricks and cloud providers to understand client needs and recommend tailored solutions.
  • Conduct workshops to enable clients on Databricks and cloud platforms.

Requirements

  • 5+ years of experience as a Data Scientist or AI Engineer with a focus on cloud platforms (Azure, AWS, GCP).
  • Proven experience with Databricks (PySpark, SQL, Delta Lake, Unity Catalog).
  • Strong knowledge of Large Language Models (LLMs) and their frameworks/libraries.
  • Proficiency in Python and common Data Science libraries.
  • Experience with MLOps and data visualization tools/libraries.

Nice to Have

  • Proficiency in deep learning frameworks.
  • Experience with distributed computing, preferably Spark.

What We Offer

  • Fully remote work setup with the opportunity to establish a physical hub in Spain.
  • Access to world-class educational benefits and Databricks courses.
  • Flexible PTO days to accommodate personal needs.
  • Fully paid Medical Leave for up to 15 days per year.
  • Comprehensive private health insurance plan via Allianz.
  • Top-notch working equipment including a MacBook Pro and a sign-up bonus of 500 EUR gross.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior AI Engineer position at DATAPAO offers a unique opportunity to lead impactful AI projects remotely in Spain. With excellent benefits and a chance to shape the company's growth, it's an attractive role for experienced professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Databricks and PySpark, with hands-on experience in building and optimizing ETL pipelines for machine learning workflows, enabling efficient data processing and analysis.

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Strong understanding of MLOps principles, capable of implementing CI/CD for ML models using Unity Catalog and Delta Lake, ensuring seamless deployment and monitoring in cloud environments.

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Analytical mindset with a proven track record in data visualization tools such as Tableau or Power BI, allowing for effective communication of complex AI insights to stakeholders in a remote setting.

Learning Resources

→Databricks Documentationguide
→MLOps with Databrickscourse
→Delta Lake: The Definitive Guidearticle

Career Path

Senior AI Engineer - Databricks(Now)→Lead AI Engineer or AI Architect(1-2 years)→Director of AI or Head of Data Science(3-5 years)

Market Overview

Market Size 2024
$10.5B
Annual Growth
28.3%
AI Adoption
75%
Investment in Databricks
+150%
Labour Demand for AI Engineers
+40%
Avg Salary for Senior AI Engineers
$145K

Skills & Requirements

Required
DatabricksPySparkSQL
Growing in Demand
MLflowApache SparkDataOps
Declining
Hadoop MapReduceTraditional ETL Tools

Domain Trends

Rise of Unified Analytics
Organizations are increasingly adopting unified analytics platforms like Databricks, with a 60% increase in companies integrating multiple data sources for analytics.
MLOps Adoption
The MLOps market is projected to grow by 33% annually, highlighting the increasing need for continuous integration and deployment of machine learning models.
Cloud-Native Data Solutions
Cloud data solutions are being adopted by 85% of enterprises, with Databricks leading the way in providing scalable data lakes and analytics capabilities.

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