What does a data consultant cost?

The rate depends on the role, seniority, duration and workload. Nordkood does not publish a made-up average. Send the need and you get a price for that role.

Data engineer, data architect or data scientist: which do we need?

A data architect when the structure and platform are undecided. A data engineer when data has to be moved, cleaned and made reliable. A data scientist when good data already exists and the question is what to learn or predict from it. Describe the goal and Nordkood proposes the role.

Do you work with our existing data platform?

Yes. The consultant works with the platform you have. If you are still choosing one, bring in an architect first.

Can Nordkood provide a whole data team?

Yes. A typical team is a data architect, one or two data engineers and a reporting or analytics developer on the same assignment.

Data consulting: data engineers and architects in your project.

Nordkood brings the people who build the data platform, the pipelines and the reporting your business depends on, and handles matching and contracts.

Send your need See open assignments

Data and analytics assignments in Nordkood’s network

consultant roles · since May 2026: 26
assignments: 22
remote or hybrid: 88 %
typical duration: 6 months

Most requested technologies

SQL 16
Azure 15
Python 13
Databricks 10
CI/CD 7
LLM 6
Machine learning 6
Git 5
AWS 4
dbt 4

Counted automatically from Nordkood’s public assignment archive. Client names are never published. See the assignment archive

Data work is done by people who have built the same thing before.

What data consulting at Nordkood means

You get an experienced data professional working in your environment: your cloud, your data platform, your governance rules. The result, including code and documentation, stays with your team.

Nordkood does not sell a data product or a platform licence. The live numbers above show which data technologies the assignments have actually used.

Roles Nordkood brings

Data engineers and data platform engineers, data warehouse developers, data architects and data modellers, database specialists, data analysts and reporting developers (for example Power BI), and data scientists.

Typical data assignments

Building or modernising a data platform on Azure or AWS, Databricks and Snowflake implementations, pipelines and transformations with SQL, Python and dbt, data warehouse and data model design, reporting that the business can trust, and the data foundations an AI project needs before it can go to production.

How to describe a data need

Data roles differ a lot, so a few details make the match much better:

The platform and tools in use or planned (for example Azure, Databricks, Snowflake, SQL Server).
Whether the work is building new, modernising, or keeping an existing solution running.
Who uses the data at the end: reporting, analytics, AI, or other systems.
Start date, duration, workload, work model and languages.

Common questions

What does a data consultant cost?: The rate depends on the role, seniority, duration and workload. Nordkood does not publish a made-up average. Send the need and you get a price for that role.
Data engineer, data architect or data scientist: which do we need?: A data architect when the structure and platform are undecided. A data engineer when data has to be moved, cleaned and made reliable. A data scientist when good data already exists and the question is what to learn or predict from it. Describe the goal and Nordkood proposes the role.
Do you work with our existing data platform?: Yes. The consultant works with the platform you have. If you are still choosing one, bring in an architect first.
Can Nordkood provide a whole data team?: Yes. A typical team is a data architect, one or two data engineers and a reporting or analytics developer on the same assignment.

Need data expertise in the project?

Tell Nordkood what the data work is. We bring the people who have built it before.

Send your need sales@nordkood.com