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Senior Data Engineer

Role overview

Summary

This role focuses on developing the Enterprise Data Catalog application for a major energy client. You will set standards and share best practices while integrating various systems and ensuring secure access. Avenga aims to enhance its engineering capabilities with AI-driven solutions.

Qualifications

  • 5+ years of experience as a Data Engineer.
  • Proficiency in Databricks Apps development using React, Node.js, Python, Streamlit or similar technologies.
  • Experience integrating with Unity Catalog APIs and metadata services.
  • Strong knowledge of Databricks SQL, Serverless SQL, Jobs, Lakehouse architecture and governance.
  • English – Upper-intermediate or higher.

Responsibilities

  • Design and develop the Enterprise Data Catalog application, including front-end and back-end components.
  • Integrate the application with Unity Catalog APIs, Databricks services, and external systems.
  • Implement secure authentication, SSO, and role-based access control.
  • Produce maintainable code, configuration, and technical documentation.

Key facts

Hard skills

Other skills

  • Problem Solving
  • Collaboration
  • Communication

About the company

Qinshift logo

Qinshift

  • IT Services & Consulting
  • Large
  • 1,001–5,000
Qinshift is a global technology company with a strong European presence, aiming to solve business problems for forward-leaning companies worldwide. Our team of over 3000 genuine tech experts builds and designs software and delivers end-to-end enterprise solutions, visionary UX and UI design, reliable managed services, and innovative product development offerings. Our company also provides cutting-edge tech consultancy services. We cater to a diverse clientele, including large telecom and satellite operators, financial and banking institutions, manufacturing and automotive companies, as well as mobility and health organizations, supporting their digital transformation journey. With an ever-present human perspective, we focus on adding real value and innovative solutions to shape long-term relationships with our customers. Our delivery model is designed to ensure a seamless, multi-location delivery of solutions, even for the most challenging projects. Qinshift is part of the KKCG Technology pillar.

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Job description

Avenga is an international engineering firm helping businesses operate with AI at the core. With 6,000+ experts worldwide, we combine engineering expertise with AI-native thinking to turn ambitious ideas into real-world impact across industries, technologies, and markets.

At the core of the role

We are looking for a Senior Data Engineer with Databricks to join our team. Our client is one of the largest state-owned energy companies and a leading producer and supplier of electricity and heat in Europe.

As a Senior Data Engineer, you will take part in setting standards, establishing guidelines, and sharing best practices in order to ensure continuous learning and development.

Core skills you’ll bring

  • 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

Nice-to-have

  • Experience with MCP / JSON-RPC integration patterns

  • Familiarity with Databricks Genie and Genie Ontology

  • Knowledge of Unity Gateway or comparable governed data-access patterns

The impact you'll create

  • 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, and provide knowledge transfer

People are at the core of Avenga. We provide equal opportunities regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to a respectful environment where everyone can be themselves, share their ideas, and feel that they belong.

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