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Avenga

Senior Data Engineer

Avenga

. Design and develop the Enterprise Data Catalog application, including front-end and back-end components .

Posted 11/11/2026full-timeRemote • SwedenSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and developing enterprise-scale data applications, integrating with Databricks and Unity Catalog APIs, and implementing secure authentication and authorization mechanisms. Proficient in CI/CD practices and producing maintainable code and documentation.

Highest-signal resume keywords
Databricks ProficiencyReact Application DevelopmentOAuth ImplementationCI/CD ExperienceData Engineering Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringDatabricks SQLServerless SQLPythonNode.jsReactStreamlitREST API IntegrationMCP Integration PatternsMetadata Services
Tools & Technologies
Azure DevOpsGitGitHub ActionsUnity Catalog APIsUnity Gateway
Industry Keywords
Enterprise Data CatalogRole-Based Access ControlSingle Sign-OnLakehouse ArchitectureApplication Observability

Tech Stack

Tools & technologies
AzureJavaScriptNode.jsPythonReactSQLUnity

About the role

Key responsibilities & impact
  • Design and develop the Enterprise Data Catalog application, including front-end and back-end components
  • Integrate the application with Unity Catalog APIs, Databricks services, metadata sources and external systems
  • Implement secure authentication, SSO, role-based and group-based authorisation, and user-context data access
  • Design high-performing metadata search, caching and indexing for a large user base
  • Implement CI/CD, automated testing, audit logging, monitoring and application observability
  • Support deployment, security and architecture reviews, troubleshooting and performance optimisation
  • Produce maintainable code, configuration and technical documentation
  • Provide knowledge transfer
  • Take part in setting standards, establishing guidelines, and sharing best practices

Requirements

What you’ll need
  • 5+ years of experience as a Data Engineer
  • Proficiency in Databricks
  • Apps development experience using React, Node.js, Python, Streamlit or similar technologies
  • Experience integrating with Unity Catalog APIs and metadata services
  • Proven experience implementing OAuth, Microsoft Entra ID, SSO, RBAC and group-based authorisation
  • Experience designing enterprise-scale web applications supporting large user groups
  • Strong knowledge of Databricks SQL, Serverless SQL, Jobs, Lakehouse architecture and governance
  • Familiarity with integrating external systems through REST APIs
  • Experience with CI/CD, Git, and Azure DevOps or GitHub Actions
  • English – Upper-intermediate or higher
  • Experience with MCP / JSON-RPC integration patterns
  • Familiarity with Databricks Genie and Genie Ontology
  • Knowledge of Unity Gateway or comparable governed data-access patterns

Benefits

Comp & perks
  • Equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic
  • Respectful and inclusive work environment
  • Fully remote work arrangement