Data Analyst: AI-Driven Dashboards & ETL Expert (Remote)

AgileEngine, LLC.; Málaga; Hybrid; EUR 80,000 - 125,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders.

The role requires 4+ years in data analytics, expertise in ETL/ELT with PySpark/Databricks/Snowflake, advanced SQL, and experience with enterprise datasets. Proficiency in Power BI or Tableau and strong communication are essential. Familiarity with frontier AI tools is a plus.

Qualifications

• At least 4 years in Data Analytics.
• ETL/ELT pipelines: PySpark/Databricks/Snowflake stack or equivalent cloud tech.
• Advanced SQL: production-grade queries across large-scale systems.
• Experience with enterprise IT infrastructure datasets (assets, hardware, networks, cloud).
• Dashboarding: Power BI or Tableau/Qlik to tell business stories.
• Strong communication; able to lead data-focused discussions with customers.
• Frontier AI tech: experience with generative AI tools and LLM integrations.

Responsibilities

• Design, build, and maintain Power BI dashboards for infrastructure assets and risks.
• Develop robust ETL/ELT pipelines processing large asset/infrastructure data.
• Engage with customers and engineering to identify requirements and translate them into data solutions.
• Write optimized SQL across multi-source databases to extract insights.
• Evaluate and integrate frontier AI tools to improve data processing workflows.
• Define data mappings and maintain data quality and governance.

Skills

Data Analytics

ETL/ELT pipelines

Advanced SQL

Large-scale datasets

BI dashboards

Communication

AI technologies

Tools

PySpark/Databricks/Snowflake stack

Job description

AgileEngine is seeking a Data Analyst to analyze and visualize large-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders.

The role requires 4+ years in data analytics, expertise in ETL/ELT with PySpark/Databricks/Snowflake, advanced SQL, and experience with enterprise datasets. Proficiency in Power BI or Tableau and strong communication are essential. Familiarity with frontier AI tools is a plus.