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Ed:Za

Senior Data Engineer – Databricks Champion

Ed:Za

Senior Data Engineer with Databricks expertise at Ed:Za in Stockholm. Focused on building modern data platforms for analytics and AI with a collaborative team.

Posted 7/4/2026full-timeStockholm • 🇸🇪 SwedenSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in Data Engineering with a focus on Databricks, including data ingestion, governance, and scalable architecture. Proficient in Apache Spark, Python, SQL, and collaboration with cross-functional teams to enhance data platforms.

Highest-signal resume keywords
Data EngineeringDatabricks ExpertiseApache SparkPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data IngestionData GovernanceModern Data Platform ArchitectureReusable FrameworksUnity Catalog
Soft Skills
Strong Communication SkillsKnowledge SharingTechnical Coaching
Tools & Technologies
AWSCI/CDDatabricks Asset BundlesLakeflowAuto Loader
Certifications & Qualifications
Databricks Certifications

Tech Stack

Tools & technologies
ApacheAWSPythonSparkSQLUnity

About the role

Key responsibilities & impact
  • Developing and improving data ingestion and data product frameworks
  • Designing and implementing scalable data governance and access control using Unity Catalog
  • Acting as the go-to Databricks expert, supporting and coaching development teams
  • Evaluating and introducing new Databricks capabilities to continuously improve the platform
  • Contributing to a scalable, secure, and user-friendly platform for data, analytics, and AI

Requirements

What you’ll need
  • Several years of experience working as a Data Engineer with Databricks in production environments
  • Strong expertise in Apache Spark, Python, and SQL
  • Experience with Unity Catalog, data governance, and modern data platform architecture
  • A background in building reusable frameworks and platform components
  • The ability to collaborate with engineers, architects, and stakeholders across different teams
  • Strong communication skills and a passion for knowledge sharing and technical coaching
  • Experience with AWS, CI/CD, Databricks Asset Bundles, Lakeflow, Auto Loader, and Databricks certifications is considered an advantage

Benefits

Comp & perks
  • A key role in shaping a modern enterprise data platform
  • The opportunity to work with the latest technologies in Databricks, cloud, data engineering, and AI
  • A collaborative environment with highly skilled colleagues and short decision-making paths
  • Significant technical ownership and the opportunity to make a lasting impact