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DATAPAO

Senior Data Engineer – Databricks

DATAPAO

. Deliver complex data engineering projects across industries, individually or by leading small delivery teams .

Posted 10/31/2026full-timeRemote • SpainSenior💰 €70,000 - €80,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering with a strong focus on cloud platforms such as AWS and Azure, utilizing tools like Databricks and Apache Spark. Proven ability to manage customer relationships, mentor junior engineers, and deliver complex data projects effectively.

Highest-signal resume keywords
Data EngineeringDatabricksETL/ELT DevelopmentSQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringDatabricksApache SparkETL/ELT DevelopmentSQLPythonMLOpsCloud MigrationData ArchitectureData Lakehouse
Soft Skills
Problem-SolvingFlexibilityResilienceStakeholder CommunicationMentoring
Tools & Technologies
Databricks WorkflowsAirflowADFGlueStep FunctionsPower BITableauLookerTerraformCloudFormation
Industry Keywords
Cloud PlatformsConsultingCustomer RelationshipsData Pipeline OrchestrationCI/CD Pipelines

Tech Stack

Tools & technologies
AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformPySparkPythonSparkSQLTableauTerraformUnity

About the role

Key responsibilities & impact
  • Deliver complex data engineering projects across industries, individually or by leading small delivery teams
  • Work on fast-paced projects typically lasting 2 to 4 months
  • Use Apache Spark and Databricks on AWS or Azure
  • Directly manage customer relationships independently or with a Project Manager
  • Support the pre-sales process
  • Mentor more junior engineers
  • Contribute to hiring best-in-class data talent
  • Solve data engineering, machine learning, MLOps, and cloud migration challenges for EMEA and US customers
  • Design data architectures and guide customers in adopting new technologies

Requirements

What you’ll need
  • Ideally 5+ years of experience in Data Engineering, focused on cloud platforms such as AWS, Azure, or GCP
  • Proven track record working with Databricks, including PySpark, SQL, Delta Lake, and Unity Catalog
  • Extensive experience in ETL/ELT development and data pipeline orchestration using tools such as Databricks Workflows, DLT, Airflow, ADF, Glue, and Step Functions
  • Proficiency in SQL and Python
  • Knowledge of CI/CD pipelines and Infrastructure as Code using Terraform, CloudFormation, or Bicep
  • Hands-on experience integrating Databricks with BI tools such as Power BI, Tableau, or Looker
  • Ideally a proven consulting history covering scoping, requirements gathering, solution design, and stakeholder communication; product-company experience is acceptable with a consulting mindset and customer-facing interest
  • Successful delivery of Data Lakehouse buildouts and cloud data migrations
  • Ability to explain technical concepts to non-technical audiences and drive decision-making
  • Readiness to contribute immediately to live client projects
  • Flexibility, problem-solving, resilience, and ability to thrive in a fast-paced consulting environment
  • Strong written, spoken, and stakeholder communication skills
  • Currently unable to support transfer or full sponsorship for Skilled Worker visas in Spain

Benefits

Comp & perks
  • Fully remote setup in Spain, with one month in the Budapest hub during onboarding and one-week office visits every quarter
  • Access to Databricks public and internal courses
  • Various data and cloud certifications paid for
  • Dedicated learning time during work hours
  • Access to internal library
  • Flexible PTO days
  • Fully paid medical leave for up to 15 days per year
  • Comprehensive private health insurance via Allianz
  • Employee Assistance Program providing psychology, financial, and legal consulting services
  • MacBook Pro
  • €500 gross sign-up bonus for home-office setup
  • High-transparency culture with open feedback and no politics
  • Opportunity to make an impact and shape the future of a rapidly growing tech company