Data Engineer

GEA Group

Data Engineer building Azure and Databricks pipelines for GEA, a global supplier of food-processing technology. Supporting industrial IoT analytics, AI, predictive maintenance, and operational reporting.

Posted 8/4/2026full-timeAlcobendas • 🇪🇸 SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable data solutions using Microsoft Azure and Databricks, with a strong focus on data governance, quality, and integration of industrial IoT data. Proficient in data modeling, ETL/ELT pipeline development, and API-based integrations to support analytics and AI-driven solutions.

Highest-signal resume keywords

Microsoft Azure Data Solutions DevelopmentETL/ELT Pipeline DesignData Governance and Quality StandardsAgile/Scrum MethodologiesMachine Learning and AI Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingREST API DevelopmentTime-Series Database DesignQuery OptimizationWorkflow OrchestrationData IntegrationAnalytics SolutionsIndustrial Data ManagementMetadata Management

Tools & Technologies

Microsoft AzureDatabricksInfluxDBIndustrial IoT Data Sources

Certifications & Qualifications

Microsoft Azure CertificationDatabricks Certification

Industry Keywords

IEC 62443 StandardsData QualityData GovernanceCloud Data PlatformsAgile/Scrum

Tech Stack

Tools & technologies

AzureCloudETLIoT

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data solutions using Microsoft Azure, Databricks, InfluxDB, industrial IoT data sources, and modern data engineering practices
Design, develop, and maintain ETL/ELT pipelines for data integration and analytics
Design data models, relationships, and schemas supporting analytics, reporting, machine learning, and digital products
Develop API-based integrations using REST services and JSON
Establish standards for data quality, governance, security, and lifecycle management
Ensure data architectures are scalable, reliable, and aligned with enterprise standards
Support integration of operational and equipment data from industrial systems into enterprise and cloud platforms
Collaborate with cross-functional teams to deliver data-driven solutions and enable business value through analytics and AI

Requirements

What you’ll need

Bachelor's or Master's Degree in Computer Science, Data Science, Engineering, or a related field
Microsoft Azure or Databricks Certifications
3-7 years of experience in Data Engineering, Cloud Data Platforms, or Analytics Solutions
Experience developing Azure cloud-based data solutions
Experience working with large volumes of time-series and industrial data
Strong knowledge of data modelling, data governance, metadata management, time-series database design, query optimization, workflow orchestration, and REST APIs
Proven experience working in Agile/Scrum environments
Awareness of IEC 62443 standards
Desirable knowledge of Machine Learning, AI, and Data Science concepts, with experience supporting AI-driven analytics solutions
Fluent English (B2/C1) required
Spanish or German would be considered a strong advantage

Benefits

Comp & perks

Attractive compensation package aligned with experience & responsibilities
Private health insurance plan
Employee Assistance Program
Flexible working hours
Hybrid working model
23 days of vacation per year
Great work environment as part of a collaborative team
Continuous internal training and career development opportunities, both nationally and internationally
Opportunity to join a company recognized as a Top Employer 2026