lead data engineer recruitment agency and headhunters
your next lead data engineer, in good hands.
We combine our data, our sector experts and our AI algorithms to identify the headhunter most relevant to your role, from technical lead to data engineering team head.
- no setup fees, pay on hire
- guaranteed replacement
they hire their data profiles with muzzo
how do you hire a lead data engineer through a recruitment agency?
A good lead data engineer oversees a team without losing his hand on the pipelines. Muzzo gives your role to headhunters who place the most in data: they verify the architecture choices made and the real level of oversight. Fee 5 to 30%, paid on hire. Leaves within 3 months: we restart the search free.
how it works
you only pay if you hire
01
you describe the role
Using the form above: the role, your company, your data stack. The rest is scoped in your first conversation with the Muzzo team.
02
our data chooses the headhunters
Our AI picks those who have hired the most lead data engineers, from more than 2,500 selected headhunters.
03
you meet the best profiles
Approached and qualified by headhunters who are data experts. You choose who you meet.
04
you hire, then you pay
Not before. If your new hire leaves within 3 months, we restart the search at no cost.
they hired with muzzo
Muzzo's strength is the diversity of its recruiters: there is always someone listening to our needs.
With Muzzo, I get the reactivity of a marketplace and the quality of a search firm.
let's talk about your role
Antoine and the Muzzo team help you scope your role and choose the right headhunters. Describe your role in the form: we'll call you back to discuss it.
Antoine GigomasCEO and co-founder of Muzzo
one last question?
With Muzzo, you set the fee, between 5 and 30%, and you only pay on hire: no deposit, no fixed fees. A technical lead without a team and a head of data who arbitrates budget don't need the same search effort. The fee follows that difficulty, and the Muzzo team helps you set it.
You have a double guarantee. If your new hire leaves within 3 months, for example because the actual oversight level doesn't match the brief, we restart the search at no cost. If we find no replacement within 4 months, we refund 50% of the fees. On average, 94% of Muzzo hires are still in post after 3 months.
data headhunters are ready to start
A hire signed in under 26 days. You only pay when you hire.
the reality
a lead data engineer is recruited on what his team has delivered
a good lead data engineer isn't job hunting
They hold a team's architecture and don't answer job ads. An data headhunter knows how to approach them and speak their technical language.
coding still isn't enough, nor is managing alone
The role requires choosing the right tools, arbitrating between two architectures and managing without slowing the team. The headhunter tests both aspects, not just one.
a hiring mistake shows up in technical debt
Fragile pipelines, poorly justified tool choices, a team spinning its wheels. The headhunter verifies projects actually delivered and the team actually managed before introducing anyone.
the roles
the lead data engineer profiles our headhunters go after for you
From a first technical lead role to data engineering team direction, each search goes to a headhunter who has already hired that profile.
lead data engineer
They manage a small team, choose tools (Spark, dbt, Airflow, cloud) and keep their hand on pipeline architecture. The most requested role.
data engineering technical lead
Without line management, they set code and pipeline standards and support less experienced data engineers.
staff data engineer
A recognised expert without direct reports, they arbitrate the most structuring architecture choices and audit critical pipelines.
head of data engineering
They lead multiple teams or an entire data engineering practice, arbitrate budget and become the contact for technical leadership.
the method
a data headhunter, not a generic IT recruiter
A lead data engineer is judged by the architecture chosen and the team they grow. So the method starts from what the role must deliver.
we define what the architecture must support
Data volume, tools already in place, team size to manage: the brief describes the expected technical and managerial scope.
a headhunter who recruits lead data engineers
From more than 2,500 selected headhunters, your role goes to those who place the most data profiles.
an architecture choice scrutinised before interview
The headhunter asks the profile to defend an architecture decision they made, and cross-checks the actual level of oversight exercised with references.
the figures
a lead data engineer's salary in figures
source: Apec, private-sector managerial pay in 111 job families, 2025 edition, p. 62 (Big Data) (opens a new window), 2025 data
source: Apec, private-sector managerial pay in 111 job families, 2025 edition, p. 62 (Big Data) (opens a new window), 2025 data
source: Apec, private-sector managerial pay in 111 job families, 2025 edition, p. 62 (Big Data) (opens a new window), 2025 data
hiring a lead data engineer: what you need to know
why use a headhunter to hire a lead data engineer?
The lead data engineer keeps their hand on pipeline architecture whilst managing a team. Few profiles combine both skills: many good data developers have never managed, and many data managers have lost the technical level to arbitrate architecture.
A data headhunter knows how to tell them apart: they ask for an architecture project actually led and a team actually managed. For an individual contributor without oversight, see our data engineer page; for the whole data and AI scope, our data and AI page.
lead data engineer, senior data engineer or head of data: what's the difference?
A senior data engineer masters pipelines but doesn't manage anyone. A lead data engineer manages a small team whilst staying technical. A head of data engineering leads multiple teams and arbitrates a budget.
According to Apec, the median for Big Data managers rises from €58k between 35 and 45 to higher levels with experience. State the expected oversight level in the brief: it is what sets the role's budget, not just seniority.
should you promote a data engineer internally or hire a lead data engineer?
Promoting internally keeps knowledge of the existing system, but deprives the team of a fresh look at architecture. Hiring externally brings practices seen elsewhere, at the cost of time to adapt to the existing system.
According to Apec, Big Data managers with budget responsibility earn €63k median a year, versus €52k without. Budget management is often the sharpest signal of moving into the lead role.
what does a headhunter check before introducing a lead data engineer?
The CV lists tools: Spark, dbt, Airflow, one or more clouds. The interview must show something else: why that tool was chosen over another, and how the team reacted to that decision.
The headhunter asks the profile to defend a contested architecture choice and tell how they grew a junior data engineer. They then cross-check both points with references before introducing anyone.
which lead data engineer to hire by your company's sector?
According to Apec, Big Data managers' median salary varies sharply by sector: €48k in engineering and R and D, the lowest in the family, €49k in IT activities and €53k in services, versus €73k in banking and insurance, the highest sector. A pure software company shouldn't fit its offer to a banking pay scale.
Data volume and sensitivity also change the profile to seek: a software vendor looks mainly for architecture rigour; a bank adds compliance and data security constraints.
your questions about hiring a lead data engineer
According to Apec, Big Data managers (data engineer, data scientist, Big Data architect...) earn €54k gross median a year, with 80% between €40k and €98k (2025 edition). Oversight level, budget management and sector then vary the amount sharply.
Yes, sharply. According to Apec, Big Data managers with budget responsibility earn €63k gross median a year, versus €52k without (2025 edition). This often distinguishes a lead data engineer from a senior data engineer.
Yes. According to Apec, Big Data managers' median salary in IT activities is €49k gross a year, one of the lowest-paid sectors in the family (engineering and R and D is even lower, at €48k), versus higher levels in banking and insurance (2025 edition). Data volume and regulatory constraints explain part of the gap.
A senior data engineer keeps their hand on pipelines without managing anyone. A lead data engineer manages a small team whilst staying technical. If you have no data engineer yet, start with a senior profile rather than a lead with no team to manage.