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V3 Staffing · posted 6 months ago
Data & QA Engineer
Amro Data Labs (ADL India) · India GCC · Real Estate AI & Data
LOCATION TYPE
Bengaluru — North Bengaluru
EXPERIENCE
FTE 6 years
Confidential · Prepared for Amro Data Labs · March 2026 Page 1
We are looking for a proactive Data & QA Engineer to maintain our data
extraction pipelines, audit our growing
data estate, and ensure the absolute accuracy of our real estate market
intelligence platform — tracking millions of
datapoints across UK and Europe. You will work closely with our London-based
data team on a mission-critical
system where data integrity shapes real client decisions.
KEY RESPONSIBILITIES
• QA Frameworks: Implement and maintain standardised testing and auditing
protocols across all extraction and
transformation layers
• LLM QA: Build test suites for LLM-driven workflows — prompt injection
detection, hallucination checks, and
graceful failure mechanisms
• Data Auditing: Continuously audit data objects across BigQuery, Cloud
Storage, and SharePoint; proactively
identify and fix quality issues
• Data Extraction: Support and maintain Python-based web scrapers (Playwright,
Scrapy) capturing daily rent
and availability metrics
• Transformation: Write and optimise SQL workflows to transform raw scraper
logs; enforce data integrity at the
analytical layer
• DevOps: Maintain GitHub Actions CI/CD pipelines, Docker containers, and
Terraform IaC for data pipeline
deployments
REQUIRED TECHNICAL SKILLS
QA / Testing 6+ yrs building automation & unit testing frameworks;
Pytest/Unittest; Dataplex/Great
Expectations required
Python 6+ yrs; strong OOP, ETL/ELT pipelines, LLM API integration (OpenAI, Gemini,
LangChain), Pandas
SQL & NoSQL 6+ yrs advanced, optimised queries for data transformation and analytics; NoSQL
experience required
GCP 4+ yrs — BigQuery, Firestore, Cloud Storage, Dataform, Cloud Run, Compute
Engine
DevOps GitHub, GitHub Actions CI/CD, Terraform (IaC), Docker — all required
AI-Assisted IDEs Cursor or similar LLM-supported coding tools — required
IDEAL PROFILE & EDUCATION
• Master's degree in Computer Science, Data Science, or a closely related
field (required)
• Experience auditing large-scale data estates and maintaining data quality at
scale
• GCP-native mindset — comfortable operating across the full GCP data stack
• Familiarity with AI/LLM quality engineering is a strong differentiator
TECHNICAL STACK
Data & QA Engineer Amro Data Labs (ADL India)
Confidential · Prepared for Amro Data Labs · March 2026 Page 2
Languages Python, SQL, YAML, NoSQL
GCP BigQuery, Cloud Storage, Compute Engine, Cloud Run, Cloud Build,
Scheduler, Firestore,
Dataform, Artifact Registry, Secrets Manager, Dataflow
DevOps & QA GitHub Actions, Docker, Terraform, Linux, Pytest, Pydantic,
Jira
WHAT WE OFFER
• Mission-critical role on a platform tracking millions of real estate
datapoints across UK and Europe
• Direct collaboration with London-based senior data engineering leadership
• Competitive contract rate with a clear conversion to full-time CTC
• Group health insurance from Day 1 (including contract phase) · L&D;
budget · Remote-friendly
4 interview rounds including 2 technical rounds — all completed within 2–3
weeks.