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EVIDI

Data Engineer – AI

EVIDI

. Design, implement, and maintain robust data pipelines and architectures for analytics, machine learning, and AI workloads .

Posted 10/22/2026full-timeOslo • NorwayMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and maintaining data pipelines and architectures for analytics and AI workloads, with a strong focus on cloud data solutions and modern data platforms. Proficient in translating business requirements into scalable data solutions while driving best practices and adoption of data technologies.

Highest-signal resume keywords
Data EngineeringMachine Learning SolutionsMicrosoft AzureSQLPython

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 Pipeline DesignData ArchitectureMachine LearningAI WorkloadsSQLPythonSparkPower BIMicrosoft FabricDatabricks
Soft Skills
CollaborationCommunicationSelf-DrivenStructuredEager to Learn
Tools & Technologies
Microsoft Azure Data FactorySnowflakeDatabricksPower BIMicrosoft Fabric
Industry Keywords
Data SolutionsCloud Data SolutionsMLOpsData-Driven ApplicationsAnalytics

Tech Stack

Tools & technologies
AzureCloudPythonSparkSQL

About the role

Key responsibilities & impact
  • Design, implement, and maintain robust data pipelines and architectures for analytics, machine learning, and AI workloads
  • Work with business stakeholders, data scientists, and developers to transform requirements into scalable data solutions
  • Contribute to client projects, taking responsibility for data and AI aspects of implementations
  • Evaluate and integrate tools and technologies, optimising performance, scalability, and security
  • Document solutions and processes
  • Provide training to colleagues and end-users when needed
  • Drive adoption and best practices for modern data platforms among customers and internally
  • Advise the team on data engineering, AI, and MLOps

Requirements

What you’ll need
  • Bachelor’s or master’s degree in Computer Science, Data Science, Engineering or a related field; relevant experience can compensate for formal education
  • Hands-on experience with data engineering technologies such as Microsoft Fabric, Databricks, Azure Data Factory, Snowflake, SQL, Python, Spark, and Power BI
  • Experience deploying, maintaining, or utilising machine learning and AI solutions in a production environment
  • Strong understanding of cloud data solutions and modern data platforms, preferably Microsoft Azure or comparable
  • Ability to translate business processes and requirements into technical data solutions
  • Interest in new AI advancements and data-driven applications
  • Collaborative team member with excellent communication skills
  • Self-driven, structured, and eager to learn new technologies and concepts

Benefits

Comp & perks
  • Flexible work arrangements, including the opportunity for home office and adaptable working hours
  • Competence development and personal growth opportunities
  • Good pension and insurance schemes
  • Company ownership opportunities for employees
  • Supportive and diverse team environment
  • Team activities, sports teams, and social events through Evidi Active
  • Dedicated wellbeing leader at each location