Data Recruitment

A data analyst answers business questions using the data you already have. A data engineer builds the pipelines and platforms that make that data reliable. A data scientist builds models to predict or explain what happens next. A common mistake is hiring a data scientist before the data foundations are in place, which can leave them doing engineering work they were not hired for.

It depends on the state of your data. If the data is scattered and unreliable, someone with engineering skills usually comes first. If the data is in reasonable shape but nobody is using it well, a senior analyst who can also build some of the plumbing is often the better choice. A first data hire needs to be comfortable working without a team around them.

A data engineer builds the pipelines and platforms that data flows through. A machine learning engineer takes models into production, then handles deployment, monitoring and performance over time. The two roles overlap, and in smaller teams one person may cover both. As machine learning moves from experiments into live products, the distinction tends to matter more.

Usually once data spans several teams and priorities start to compete. Other signs include questions about governance or regulation, or large decisions about data platforms and spend. Before that point, a senior individual contributor or a fractional data leader can often provide enough direction, and help define what the permanent leadership role should look like.

AI has raised the value of clean, well-governed data, because models are only as useful as what they are trained and run on. That has increased demand for data engineers and for people who understand data quality and governance. Roles are also blurring, with machine learning and AI work overlapping more with software engineering. We keep a current view of how each role is shifting.

Keep it to the few that matter most, such as your data warehouse, orchestration or modelling tools. Strong data professionals usually move between similar tools without much trouble. A long list of every technology in your stack can put good people off and narrow the pool without improving the match. Describe the problems they will work on, and the right people will recognise themselves.

Clients can get in touch to discuss a brief, and candidates are welcome to register their interest. The quickest route is our contact page or a call to +44 203 397 4565, and one of our consultants will pick things up from there.