Data Engineers

Hire a Data Engineer —
Matched in 48 Hours.

Vetted Tier-1 data engineers embedded into your team. Data pipelines, warehouses, real-time streaming, ML feature stores — sprint-delivered, Engagement Manager audited.

Two-week risk-free trial. No lock-in.

< 48h

Time to match

Top 1%

Engineer tier

100%

IP ownership

2 weeks

Risk-free trial

What They Build

What Can a Data Engineer Build for You?

Data Pipeline Architecture

End-to-end pipelines from ingestion to transformation to serving. Batch and streaming. Built to handle your data volume today and 10x tomorrow.

Data Warehouse & Lakehouse Design

Snowflake, BigQuery, Redshift, Databricks — schema design, partitioning strategy, query optimisation, and cost control.

Real-Time Streaming Pipelines

Apache Kafka, Spark Streaming, Flink — event-driven architectures for real-time analytics, fraud detection, and live dashboards.

Data Modelling & Transformation

dbt models, dimensional modelling, data vault, and semantic layers that make your data reliable and consistent across every tool.

ML Feature Stores & AI Data Infra

Feature engineering pipelines, feature stores (Feast, Tecton), training data pipelines, and data infra that makes your ML team 3x faster.

Data Quality & Observability

Great Expectations, Monte Carlo, dbt tests — automated data quality checks, anomaly detection, and lineage tracking across your stack.

Who It's For

Who Should Hire a Data Engineer Through Kovil AI?

Scale-ups Drowning in Data Debt

Your product generates data but it's messy, unreliable, and nobody trusts the numbers. A data engineer who fixes the foundation, not just the dashboards.

AI Teams Who Need Reliable Data

Your ML models are only as good as your data. Data engineers who understand ML infra, feature pipelines, and what production AI systems actually need.

CTOs & Heads of Data

You need to modernise your data stack, migrate to the cloud, or build a real-time pipeline — without a 6-month hiring process. Sprint-delivered, Engagement Manager audited.

How It Works

How Do You Hire a Data Engineer with Kovil AI?

01Day 1

Brief Your Needs

Fill a 5-minute intake form describing your data infrastructure challenges, current stack, and goals. A Delivery Lead contacts you within 24 hours.

  • 5-minute async intake
  • Delivery Lead assigned same day
  • Stack & domain matched
02Days 2–3

Meet Your Engineer

We surface 2–3 hand-picked data engineers with proven experience in your tooling and domain. You review profiles, join intro calls, and choose your fit.

  • Curated match — not a marketplace
  • Live intro call included
  • Milestone plan agreed upfront
03Week 1 onwards

Sprint & Deliver

Your engineer works in focused sprints. An Engagement Manager audits every milestone output. You get reliable, production-ready data infrastructure.

  • Weekly milestone check-ins
  • Engagement Manager quality audit
  • Two-week risk-free trial

Ready to hire a data engineer?

Tell us your data challenge. Matched in 48 hours. 2-week risk-free trial.

What's Included

What's Included When You Hire a Data Engineer Through Kovil AI?

Tier-1 Vetted Data Engineers

Every data engineer passes a rigorous 5-stage vetting — SQL & Python depth, pipeline architecture, distributed systems, data modelling, and live delivery simulation.

Engagement Manager Oversight

A senior Kovil AI lead audits every milestone before it reaches you. Pipeline reliability, data quality, schema design — all checked.

Sprint-Based Delivery

Work happens in structured weekly sprints with clear deliverables. Not open-ended hours billed to a ticket queue.

Data Engineering Depth

Specialists across pipeline architecture, warehouse design, real-time streaming, dbt modelling, and ML data infrastructure.

Production-Ready Pipelines

We don't just build pipelines — we deploy them. Monitored, tested, documented, and observable from day one.

Full-Stack Data Coverage

Your engineer handles ingestion, transformation, orchestration, storage, and the observability layer — end to end.

What to Expect

What Should You Expect When Hiring a Data Engineer?

Day 1

Submit Your Brief

Fill a 5-minute intake form. A Delivery Lead calls you within 24 hours to scope requirements, current stack, and data goals.

Day 2–3

Meet Your Shortlist

We surface 2–3 data engineers matched to your tooling and domain. You review profiles, join intro calls, and choose your fit.

Day 3–4

Milestone Plan Locked

You and your engineer agree a sprint plan — pipeline targets, quality benchmarks, timelines, and success criteria before any work begins.

Week 1+

Sprint & Deliver

Your engineer works in focused sprints. Your Engagement Manager audits every output. You review at each milestone checkpoint.

Ongoing

Scale or Wind Down

Add engineers, extend sprints, or wind down — no lock-in. You stay because it's working, not because you're contracted.

Why Kovil AI

How Does Kovil AI Compare to Other Ways to Hire a Data Engineer?

Kovil AIIn-House HireBig AgencyFreelancer
Time to start24–48 hours2–4 months2–4 weeks1–2 weeks
Data engineering depthDeep domainVariesVariesVaries
Managed delivery✓ AlwaysPartial
Risk-free trial✓ 2 weeksRarely
Production deploy✓ IncludedDependsExtra costVaries
IP ownership100% yours100% yoursOften sharedVaries

FAQ

Frequently Asked Questions About Hiring Data Engineers

Explore More

Ready to hire your data engineer?

Tell us your data challenge. Matched in 48 hours. 2-week risk-free trial.