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Hire vetted Analytics Engineers who own the semantic layer that makes data trustworthy for people and AI alike. Shortlist in 48 hours; working within 4 working days.
Fig. 01AI & Data
Analytics Engineer
AI & Data
AvailabilityShortlist in 48 h
Vetted Analytics Engineer profiles free to start within 4 working days of signature. Counts appear in bands (5–10, 10–20, 20+); below 5 a role shows “Shortlist in 48 h” instead of a number.
Indicative monthly rate per seat
| Level | Experience |
|---|---|
| Mid | 2–5 years |
| Senior | 5–9 years |
| Lead | 9+ years |
Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.
Quotation-based. VAT shown separately. View in SAR, AED, USD or EUR. Quotes valid for 30 days.
Remote Pro Ai places vetted Analytics Engineers who own the semantic layer that makes data trustworthy for people and AI alike. They build tested, documented dbt models and metrics layers, set data contracts with freshness SLAs and anomaly alerts, and publish governed datasets for self-service.
Your Analytics Engineer builds tested, documented dbt models and metrics layers, and implements data contracts, freshness SLAs and anomaly alerts. Typical stack: dbt, Snowflake, BigQuery, Databricks and Looker.
Analytics engineering is one of the fastest-rising data titles, because AI has exposed how many companies define revenue or active customer 3 different ways. Copilots answer from whatever data they are given. A governed metrics layer with clear definitions and lineage is now an AI-readiness requirement, not just a reporting nicety.
Remote Pro Ai team members in this role or its practice: identity verified and under contract. Open a profile for their experience, projects and skills.
Senior · Analytics Engineer
Identity verifiedView profile: Islam Shoier
Mid · Analytics Engineer
Identity verifiedView profile: Mohamed Fouad
Senior · Analytics Engineer
Identity verifiedView profile: Salma Othman
Builds tested, documented dbt models and metrics layers
Designs dimensional and activity-schema models for self-service analytics
Implements data contracts, freshness SLAs and anomaly alerts
Bridges data engineering and BI with governed, reusable datasets
Enables AI-ready datasets with lineage and definitions
Toolset on our bench
We test each capability in a live technical assessment scored by a practice lead. Nothing on this list is taken from a CV.
Mid2–5 years
Delivers well-scoped work independently within your architecture and standards.
Senior5–9 years
Owns a component or workstream end to end, reviews code and mentors.
Lead9+ years
Sets technical direction, leads the squad and reports to your leadership.
Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.
We never place junior profiles. A practice lead confirms every level, so the band you buy is the scope you get.
Typical certifications held by our Analytics Engineer bench: dbt Analytics Engineering Certification. We verify every certificate with the issuing body before a profile reaches you, and list verified credentials on each profile card.
Remote Pro Ai information security: ISO/IEC 27001 certification in progress (target Q2 2027) · SOC 2 Type II planned for 2027. Evidence and policies are in the Trust Center.
Not sure this is the right role? Describe the outcome you need and the Squad Builder maps it to roles, levels and a draft squad in minutes.
A transport operator, Dubai
smart-mobility data platform
7 engineers · 10 months
Real-time sensor ingestion, streaming analytics, operations dashboards and an open-data API in a UAE cloud region
MatchIQ™ is our vetting and matching engine: 3.4% of applicants pass 5 gates. The live assessment for this role tests the 5 capabilities above against a realistic task.
Self-serve bookings receive a shortlist within 48 hours and enterprise requests get named candidates within 72 hours. After you approve a profile and sign, your specialist is working within 4 working days, whether the request is on the bench, off-bench or on-site. When fewer than 5 Analytics Engineer profiles are on the bench, we shortlist from the wider vetted network in the same 48 hours.
Pricing is quotation-based and depends on level, hours and any on-site, clearance or data-residency needs. Current bands: Mid · Senior · Lead — Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.. VAT is shown separately, quotes can be viewed in SAR, AED, USD or EUR, and every quotation is valid for 30 days. The Squad Builder sends your itemised quote by email within 2 minutes.
Remote Pro Ai is contractually responsible for quality. Raise it at any time: a replacement starts within 4 working days; the full handover completes in under 14 days. Your first engagement also begins with a no-bill trial, one per company: 5 working days on self-serve bookings and 10 on enterprise contracts.
This role is offered at Mid, Senior and Lead level. We never place junior profiles. A practice lead confirms each specialist’s level through a live technical assessment and reference checks, so the band on your quotation reflects scope the person has already delivered rather than a job title on a CV.
Usually an audit of existing models and metric definitions, then dbt models with tests and documentation for the most-used reports. Within weeks your team has one agreed definition for core metrics, freshness alerts on critical tables and lineage showing where every number on a dashboard comes from.
Both. They build semantic models that feed Looker, Power BI or another BI layer from Snowflake, BigQuery or Databricks, keeping metric logic in one governed place instead of copying it into every dashboard. Many hold the dbt Analytics Engineering Certification, verified before we share a profile.
A data contract is an agreed schema, freshness and quality promise between the team producing data and the teams using it. Analytics Engineers draft contracts with producers, automate the checks and alerts, and escalate breaks before they reach executive dashboards or AI applications.
By publishing clean, well-described datasets with consistent definitions, lineage and access rules. Retrieval systems and agents can then answer from governed tables and documented metrics instead of raw sources, which cuts wrong answers and makes every AI response traceable to an approved definition.
Add this role to a squad, get your quote by email, and hold profiles free for 72 hours.
Build your squad online
No card needed · 72 h free hold · No-bill trial: 5 working days self-serve, 10 in the Enterprise lane.
20 minutes with an Account Director
No sales script.