Senior Data Engineer

NutraQ; Oslo; Hybrid; NOK 750,000 - 950,000; Full time

Benefits offered by this job

High level of autonomy

Competitive benefits

Flexible working model

Modern office facilities

Opportunity for internal career development

Job summary

NutraQ is seeking a Senior Data Engineer in Oslo, Norway, who will be responsible for designing, developing, and operating data transformations and data models. This role involves implementing data processing with SQL and Python while ensuring data quality and reliability. Ideal candidates will have a BSc or MSc in a relevant field and a passion for leveraging AI technologies. The position offers a flexible working model and competitive benefits, including a focus on professional development and wellbeing.

Qualifications

• Proven track record of data management, including performance and data quality.
• Confident with data pipelines and development pipelines (Git).
• Experience with LLM prompting as a part of your daily work.

Responsibilities

• Design, develop, and operate reliable, scalable data transformations and models.
• Implement and optimize data processing using SQL, Python, and cloud technologies.
• Own data quality, consistency, and reliability.

Skills

Data management

Data modeling

SQL

Python

Azure

Education

BSc or MSc in Computer Science, IT, or a similar technical field

Tools

MS Fabric

Power Automate

Python/Notebooks

Job description

Are you curious, analytical, and passionate about building robust data solutions? Do you enjoy working collaboratively, and turning data into a reliable foundation for business decisions? We are looking for a service-minded team player who loves working with data, and who is motivated to inspire others across the organization to embrace data-driven ways of working.

As part of our Data & Analytics team, you will be responsible for designing, developing, and operating data transformations and data models across our modern data platform. You will play a key role in ensuring that data is reliable, scalable, and ready for analytics, reporting, and operational use cases.

As our new Senior Data Engineer, you will act as a lead within data processing and modeling, working closely with Data Engineers, Analysts, and stakeholders across departments such as Marketing, Finance, Supply Chain, IT and Customer Care.

We are on an exciting journey leveraging new tools, cloud capabilities, and AI technologies. In this role, you will be instrumental in realizing the full potential of these initiatives. .

Scope and main responsibilities

• Design, develop, and operate reliable, scalable data transformations and models (e.g. Silver layer) in our modern data platform, including utilization of Copilot and other AI agents where relevant
• Implement and optimize data processing using SQL, Python, and cloud technologies, with focus on performance and maintainability
• Own data quality, consistency, and reliability, including root cause analysis and prevention of recurring issues
• Define, maintain, and evolve data modelling standards, transformation patterns, and best practices
• Ensure structured development processes, including version control, testing, deployment, and documentation using Git and CI/CD pipelines
• Collaborate cross-functionally to align data models with integration, analytics, and reporting needs
• Enable data for AI usage through proper data documentation, cataloging, and lineage to support governance and business understanding
• Stay updated on new platform capabilities, including AI and Copilot features, and continuously improve existing solutions
• Contribute to team delivery processes such as planning cycles, strategic targets and ad-hoc needs

We think you will be a good fit if

• You enjoy turning complex data into clean, structured, and usable models
• You care about data being reliable, fast, and something people can actually trust
• You are confident in working with modern data setups (Fabric, Azure, Power Automate or similar)
• You’re motivated by how AI agents can create value in data workflows and for end-users
• You’re curious and actively explore new tools and better ways of working
• You have an analytical mindset and like working close to the business

You should have

• Proven track record of data management, incl. performance and data quality
• As a minimum started with LLM prompting as a part of your daily work
• Confident with data pipelines and development pipelines (Git)
• BSc or MSc in Computer Science, IT, or a similar technical field with strong academic results

Preferably (but not necessarily) you have

• Experience with MS Fabric, Power Automate and/or Logic Apps
• Experience with AI agent development and usage
• Experience with Python/Notebooks for data processing
• Experience with data documentation, cataloging and governance
• Experience with subscription-based DTC business models

What NutraQ can offer you

• High level of autonomy, flexibility, and real business impact
• Exposure to senior management and a broad range of projects
• NutraQ is Great Place to Work certified, and we like to invest in our people’s wellbeing and professional development
• Competitive benefits such as free physical treatments, attractive pension- and insurance scheme, and company apartments in Trysil and Marbella
• Modern office facilities centrally located at Skøyen with good parking opportunities; hybrid working model
• Opportunity for internal career development in an international company, and within the Orkla group
• Including and dynamic work environment, with social events and teambuilding

If you are still not convinced that NutraQ is the place for you, we urge you to take a look at our company film, where we show what we are all about!

We will review applications and invite candidates for interviews on a rolling basis until the application deadline.