Engineer III - Data Science (AI)

TL;DR

Engineer III - Data Science (AI): Building and optimizing data science and machine learning pipelines in production with an accent on data quality, performance optimization, and collaboration with product teams. Focus on designing and operating distributed data systems, managing metadata, and developing tools for model and data accuracy monitoring.

Location: Madrid, Spain (hybrid, 2 days in office). Flexible options to work from home country and abroad for a set number of days each year.

Company

hirify.global is a product company leading the production of HD maps and ADAS technology, aiming to create the first-ever real-time map.

What you will do

• Advocate for and implement changes to technology, process, tools, and systems for location content.
• Orchestrate workflows and schedules; monitor, alert, and resolve pipeline issues.
• Ensure data quality with validation, testing, lineage tracking, and documentation.
• Collaborate with product teams to deliver reliable datasets.
• Optimize performance and cost of data storage, queries, and pipelines.
• Manage metadata, governance, and access controls; develop tools to monitor model and data accuracy.

Requirements

• Minimum 4+ years of experience working as a Data Scientist or Data Engineer deploying and managing ML and data pipelines in production.
• Bachelor’s/Masters/PHD in Computer science, Mathematics, Statistics, or equivalent field.
• Proficiency in Python or Scala.
• Experience in various ML / AI techniques and frameworks.
• Experience in designing and operating data pipelines and distributed data systems, with Big Data technologies (Spark, Hive) and strong SQL skills.
• Hands-on experience with cloud data platforms (AWS, GCP, Azure) and modern data warehousing/lakehouse (Snowflake, BigQuery, Redshift, Databricks, Synapse).
• Good communications skills in English.

Nice to have

• Experience in deploying trained models for high scalability on public cloud platforms (Azure/AWS) using Docker containers.
• Knowledge and experience with using GIS tools for spatial data analysis.

Culture & Benefits

• Competitive compensation package and personal development budget with paid leave for learning days and e-learning resources.
• Enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.
• Hybrid work flexibility (2 days in office, 3 days remote) with home office setup budget and monthly allowance.
• Options to work from your home country and abroad for a set number of days each year.
• Competitive holiday plan plus an extra day off to celebrate your birthday.
• Join annual events like Hackathons and DevDays, and collaborate within an inclusive global culture of over 80 nationalities.

Hiring process

• Recruitment team screens applications closely.
• Follow-up actions include assessments and interviews.
• Onboarding support provided.