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knowmad mood
knowmad mood
1,001 – 5,000 Employees
ConsultingHealthcareLogistics
knowmad mood is a multinational digital transformation and technology services company helping enterprise organizations modernize operations, customer experiences, and technology platforms. Its work brings together consulting, software delivery, and technical expertise across digital channels and commerce, UX/UI, mobile, platforms, data and analytics, cloud infrastructure including AWS, artificial intelligence, blockchain, IoT, DevOps, quality assurance, testing, security, solution architecture, and Atlassian and IT governance. The company serves B2B clients in industries including banking, telecommunications, retail, healthcare, energy, automotive, and logistics, with a focus on scalable digital solutions and long-term technology transformation.
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Senior Data Engineer, Databricks (Remote in Spain)

Senior Data Engineer responsible for building cloud-native data platforms with Databricks, Apache Spark, and Azure. The role focuses on scalable data solutions supporting knowmad mood’s digital transformation work.

ESSpainRemoteFull-timeSeniorEnglish RequiredSpanish RequiredData Engineer
ApacheAzureCloudETLKafkaPySparkPythonSparkSQLUnity

Description

  • Design and develop scalable cloud-based data architectures with a focus on performance, security, reliability, and cost efficiency
  • Lead data engineering best practices using Databricks, Apache Spark, and modern data platform technologies
  • Create reusable ingestion frameworks and reference patterns for integrating enterprise applications, APIs, streaming platforms, and external sources
  • Build, maintain, and optimize data pipelines, platform services, and reference implementations
  • Provide technical guidance and mentor teams on ETL/ELT processes, data engineering standards, and platform capabilities
  • Implement data governance, cataloging, and quality monitoring to maintain reliable, well-documented datasets
  • Partner with Data Architects, Data Scientists, Analysts, and business teams to turn requirements into scalable technical solutions
  • Drive continuous improvements across the data platform, development standards, and operational excellence

Requirements

  • More than five years of hands-on experience in Data Engineering and Big Data environments
  • Extensive experience with Databricks and Apache Spark, including PySpark
  • Experience designing and implementing data solutions on Microsoft Azure
  • Strong SQL and Python skills, including clean code and object-oriented programming principles
  • Experience with Azure Event Hubs and Kafka
  • Strong knowledge of dimensional modeling and Data Warehouse design principles
  • Experience building scalable, reliable, and maintainable cloud-native data platforms
  • Excellent communication and stakeholder management skills
  • Ability to influence and guide teams without direct responsibility for project delivery
  • Proactive, solution-oriented approach with a focus on continuous improvement
  • Advanced English proficiency
  • Experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, Databricks Workflows, Data Governance, and DataOps is valued
  • Databricks certifications, such as Databricks Certified Data Engineer Associate or Professional, are valued

Benefits

  • Permanent employment contract
  • Remote work
  • Internal training and access to certifications
  • Flexible compensation plan including health insurance, transport, childcare vouchers, and meal vouchers
  • Employee referral program with financial rewards
  • Events, meetups, tech days, and talks
  • 26 days off: 22 vacation days, two personal days, and December 24 and 31 as default holidays
  • Flexible schedule from 8:30–18:00 Monday through Thursday and 8:00–15:00 on Fridays
  • Summer intensive schedule in July and August, from 8:00–15:00

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