Data Analytics Pro — ETL/PySpark & AI Dashboards (Remote)

AgileEngine, LLC.; Málaga; Hybrid; EUR 80,000 - 116,000; Full time

Benefits offered by this job

Professional Growth

Competitive Compensation

Exciting Projects

Flextime

Job summary

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

You will design interactive Power BI dashboards, develop ETL/ELT pipelines, and collaborate with customers and engineering teams to translate business needs into data solutions. Strong SQL skills and AI tool experience are required.

Qualifications

• 4+ years in Data Analytics with strong quantitative and qualitative skills.
• Experience building ETL/ELT pipelines using modern cloud tech (PySpark/Databricks/Snowflake).
• Advanced SQL for complex queries across large-scale systems.
• Hands-on with massive enterprise datasets related to IT infrastructure or assets.
• Proficient in Power BI or similar BI tools to create interactive dashboards.
• Excellent oral and written communication; able to lead data-focused discussions.

Responsibilities

• Design, build, and maintain Power BI dashboards delivering clear metrics on infrastructure and assets.
• Develop, optimize, and maintain robust data pipelines for large data volumes.
• Engage with stakeholders to translate requirements into data solutions.
• Write complex SQL queries to derive insights from multi-source databases.
• Evaluate frontier AI tools to enhance data processing and models.
• Assist in defining data mappings and governance to maintain data integrity.

Skills

ETL pipelines

Advanced SQL

Power BI dashboards

Data visualization

Communication

AI / Generative AI tools

Tools

PySpark

Databricks

Snowflake

Power BI

Tableau

Qlik

Job description

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

You will design interactive Power BI dashboards, develop ETL/ELT pipelines, and collaborate with customers and engineering teams to translate business needs into data solutions. Strong SQL skills and AI tool experience are required.