Senior Data Engineer - Databricks (m/f/*)

Ultra Tendency
Madrid
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Collaboration","Problem-solving"]

Senior Data Engineer responsible for designing and maintaining scalable data pipelines on the Databricks Lakehouse Platform, using Spark and Delta Lake, to deliver robust data solutions for international clients. Collaborates with data engineers, scientists, architects, and stakeholders to optimize batch and streaming workflows, governance, and performance while mentoring junior engineers.

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FursaFursa
Ultra Tendency
Ultra Tendency
2 months ago

Senior Data Engineer - Databricks (m/f/*)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 1 year ago

Job Summary

Senior Data Engineer responsible for designing and maintaining scalable data pipelines on the Databricks Lakehouse Platform, using Spark and Delta Lake, to deliver robust data solutions for international clients. Collaborates with data engineers, scientists, architects, and stakeholders to optimize batch and streaming workflows, governance, and performance while mentoring junior engineers.
Location: Madrid
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using technologies such as Apache Spark and Delta Lake.
  • •Develop and optimize batch and streaming data workflows that support analytics, machine learning, and business intelligence use cases.
  • •Collaborate with cross-functional teams to translate business and data requirements into reliable, production-ready solutions.
  • •Improve the performance, scalability, and cost efficiency of data processing workloads within Databricks environments.
  • •Support the implementation of best practices for data quality, governance, security, and compliance.

Pay and Benefits

Perks:Remote WorkLearning Budget

Key Requirements

  • •Strong hands-on experience with Databricks and Apache Spark (PySpark, SQL, and/or Scala).
  • •Experience building and operating cloud-based data platforms on AWS, Azure, or GCP.
Experience:Data engineeringCloudBig dataAnalytics
Skills:CommunicationCollaborationProblem-solving
Languages:EnglishSpanish
Tech Stack:DatabricksApache SparkDelta LakePySparkSQLScalaAWSAzureGCPAirflowAzure Data FactoryDatabricks WorkflowsGitCI/CD

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Ultra Tendency
Provides creative digital services including branding, web design, social media content, and marketing strategies for brands, creators, and lifestyle businesses.
Industry: Professional Services
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