Expert Placement
Experts in your team, within a week.
Data and AI experts who join your team and build with your people. Backed by the knowledge of all of SolvX, and as flexible as your project.
Built by the team behind the data platforms of
The problem
Your roadmap waits on people.
Hiring takes months
Finding and hiring a senior data or AI specialist takes months, and the roadmap cannot wait that long.
Skills you need for a while
Some skills, such as architecture or AI, you need for one phase of a project, not for a permanent role.
Knowledge in one head
The platform knowledge sits with one or two people, and every holiday or resignation puts it at risk.
A senior data engineer: two routes
Hiring
Starts in week 16
- Vacancy and search · 5 weeks
- Interviews · 3 weeks
- Notice period · 8 weeks
SolvX placement
Starts in week 1
- Match and meet · 1 week
Weeks
Roles
Every data and AI role.
From the analyst who builds the dashboards to the architect who designs the platform. Pick a role to see what the expert does in your team.
Need another role? Tell us who you are looking for.
Data analyst
What they do
Turns data into reports, dashboards and answers the business can act on.
Typical work
- Power BI dashboards and reports
- KPI definitions agreed with the business
- Analyses for management
Tools and methods
- Power BI
- SQL
- Excel
- Python
Knowledge pool
One expert, all of SolvX behind them.
Your expert never works alone. Colleagues who solved the same problem before, our templates and code, and a second pair of eyes are a message away. You hire one person and get the knowledge of the whole team.
- Answers from colleagues who did it before
- Templates, code and tools from earlier projects
- Reviews by a second senior expert
- Cover during holidays and peaks
Data engineer, at a client
Has anyone connected SAP to Databricks before?
Architect, SolvX12 min
Yes, last spring. Here is our extraction template, and the pitfalls we ran into.
AI engineer, at a client
How do we test an AI assistant before it goes live?
AI engineer, SolvX25 min
Use our test set-up: 50 real questions with checked answers. I will walk you through it.
Data engineer, at a client
Can someone review my data model before Friday?
Data engineer, SolvX8 min
On it. You have my comments by Thursday morning.
Flexible
Flexible from day one.
Often an expert starts within a week. We agree the end date up front and stay flexible on it: extend when the project needs more, stop earlier when the work is done.
Month
The placement ends on the date agreed up front, with the work handed over to your team.
- Often a start within a week
- An end date agreed up front
- One contract with SolvX, also for experts from our network
Per phase
The right experts for each phase.
A project needs different people at different times. We place several experts at once and switch them as the project moves on, so you never pay for someone you no longer need.
Example: a data platform with a first AI use case
In the team in this phase: 3
- Software architect
- Project manager
- Cloud engineer
How we work
Started in days, not months.
No long hiring round. SolvX finds the expert, contracts and bills the placement, and stays involved until it ends.
01
Day 1
Tell us who you need
The role, the skills, the hours and when you need someone.
02
Days 2 and 3
Meet the expert
We propose an expert from SolvX or our network, and you meet them before they start.
03
Often within a week
Start in your team
The expert works on your priorities, in your tools, backed by the SolvX knowledge pool.
04
During the project
Adjust as you go
Add experts, switch roles between phases, extend or stop earlier.
Next step
Who do you need in your team?
Tell us the role and when you need someone. We come back with a proposed expert, often within days.