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Hire vetted Data Engineers who build the governed, cloud-native pipelines that analytics and AI depend on. Shortlist in 48 hours; working within 4 working days.
Fig. 01AI & Data
Data Engineer
AI & Data
AvailabilityShortlist in 48 h
Vetted Data 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 provides vetted Data Engineers who build the governed, cloud-native pipelines that analytics and AI depend on. They design batch and streaming flows with Spark, Kafka and Airflow or Dagster, model lakehouse layers on Delta, Iceberg, Snowflake or BigQuery, and test every transformation in dbt.
Your Data Engineer designs batch and streaming pipelines with Spark, Kafka and Airflow / Dagster, and implements data quality, lineage, cataloguing and access control. Typical stack: Python, SQL, Spark, Databricks and Snowflake.
Data Engineer remains one of the most sought-after technical roles in Europe, and Gulf demand keeps rising with national data platforms and banking data-lake programmes. Every GenAI initiative raises the bar further: retrieval and feature pipelines are only as good as the governed, documented data underneath them.
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.
Lead · Data Engineer
Identity verifiedView profile: Basma Adel
Mid · Data Engineer
Identity verifiedView profile: Eslam Fayez
Senior · Data Engineer
Identity verifiedView profile: Mahmoud Talaat
Designs batch and streaming pipelines with Spark, Kafka and Airflow / Dagster
Models lakehouse and warehouse layers (Delta, Iceberg, Snowflake, BigQuery)
Implements data quality, lineage, cataloguing and access control
Optimises cost and performance of large-scale storage and compute
Delivers dbt-based transformation with testing and documentation
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 Data Engineer bench: Databricks Data Engineer · Snowflake SnowPro · Azure DP-203. 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 Data 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.
Both. Engineers design batch pipelines for reporting and model training, and streaming with Kafka and Spark where freshness matters, such as fraud signals or operations dashboards. They recommend the simplest pattern that meets your latency requirement, because streaming adds cost and operational load you should only pay for when needed.
Yes. Our bench covers Databricks, Snowflake, BigQuery, Azure Data Factory, Airflow and dbt, plus Delta and Iceberg table formats. Many engineers hold Databricks Data Engineer, SnowPro or Azure DP-203 certification, which we verify with the issuing body before any profile reaches your shortlist.
Quality, lineage, cataloguing and access control are part of the build, not a later phase. Engineers add tests at ingestion and transformation, publish lineage to your catalogue, and apply role-based access with masking for personal data, so pipelines stay auditable under PDPL and GDPR.
They tune partitioning, clustering and file sizes, schedule heavy jobs sensibly and right-size compute. Spend per pipeline is tracked on a dashboard and reviewed like any other metric, so growth in data volume does not quietly become growth in your cloud bill.
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.