Permanent Data & Analytics Engineering

Evidence-led shortlists, not a stack of CVs

Fenmore Advisory screens and shortlists permanent mid-to-senior Data Engineers and Analytics Engineers for US teams, remote or hybrid. We screen on real engineering, then hand you a short list you can actually act on.

Typical shortlist turnaround: 7–10 business days once the intake is confirmed.
0–100Clear score on every candidate, with the evidence behind it
7–10 daysShortlist turnaround once we’ve locked the brief
1 pageScreen summary per candidate. Delivery proof, not buzzwords
What we recruit

Specialist, not generalist

Permanent mid-to-senior Data Engineers and Analytics Engineers for US teams (remote or hybrid). Two stack tracks, screened on the work they have actually shipped.

MDS

Modern Data Stack

Snowflake, dbt, Airflow / Prefect. Ingestion, transformation, orchestration and the operational discipline that keeps it running.

LH

Lakehouse

Databricks, Spark / PySpark, Delta. Batch and streaming pipelines built for scale, reliability and safe releases.

Every submission

What lands in your inbox per candidate

No keyword-matched CVs. Each shortlisted candidate comes with a one-page screen you can read in two minutes and trust.

A clear score

A 0–100 screen score with the supporting evidence, so you know why they made the list.

Delivery proof

What they built, at what scale, under what constraints, with measurable outcomes where available.

Honest risk flags

One or two risks stated plainly up front, so nothing surprises you later in the process.

Comp & availability

Work model, timezone fit and compensation alignment checked before they reach you.

Interview guidance

Suggested focus areas and what to probe, drawn from the screen.

Shareable format

A clean one-pager your hiring panel can read without a walkthrough.

How it works

Designed to cut CV noise

A tight process that gets you screened talent before the broader market traffic arrives.

15-minute intake

We lock the role must-haves, stack track and salary band. No long forms.

Priority review

An exclusive window or head-start, so you see screened candidates before broader CV traffic.

Shortlist in 7–10 days

Evidence-led submissions, each scored and flagged. Role complexity and market availability may vary.

Screening criteria

We share the criteria, not the rubric

Every candidate is screened against the things that actually predict on-the-job performance.

Fundamentals — SQL, data modelling and grain, performance, Python and engineering basics.
Pipeline build — ingestion patterns, CDC, batch and streaming, orchestration, backfills, late-data handling.
Reliability — data-quality checks, monitoring and alerting, incident ownership, SLAs.
Platform & cloud — dev / stage / prod environments, IAM and secrets, CI/CD and safe releases.
Role alignment — stack fit, stakeholder communication, explaining trade-offs clearly.
Operational discipline — the habits that keep production data trustworthy day to day.

Hiring a Data or Analytics Engineer?

Send the role title and level, stack track, work model and salary band. We’ll propose an intake slot and a shortlist plan.

Start an intake
nathan@fenmoreadvisory.com