Data Engineering Recruitment

Strong data foundations support everything from reporting and customer insight to AI and product work. Without reliable systems, even the best tools struggle to deliver. Consortia recruits data engineers across data engineering, analytics engineering, data platforms, ML infrastructure anddata leadership.

When you need to hire data engineers, the strongest candidates rarely come through a job advert. Many aren't actively looking. Consortia approaches them directly, using market knowledge and an established network across the UK, Europe, North America and the UAE. Working across data, product, engineering and AI also gives Consortia a wider view of candidate availability, salaries and what companies are asking for.

How we recruit data engineers

Many data engineering briefs combine several jobs. A founding data engineer might need to clean and structure messy data, build search tools and support AI and LLM work. Another role may sit somewhere between data engineering and data science. We agree what matters most with the hiring manager before starting the search.

We ask candidates to explain how they've taken data from its source through to something people use. For early stage roles, that can include a short written example from a real project, in their own words. Cloud skills often transfer well, so a strong AWS engineer won't always be ruled out of an Azure role.

Office expectations can shape the whole search. A small start up asking for five days in the office may lose strong candidates. Salary, commute and company risk all play a part. We raise these points early, alongside funding, runway and equity, so candidates know what they're considering.

Pay is discussed properly too. Some clients want exact figures to keep salaries consistent across a team. In those cases, we confirm total pay, including bonus, before sharing a candidate. We also check notice periods and visa status early, since sponsorship can affect the search.