Pune (IND)
Software Development
Fulltime
Published: 2026-06-30
What do we do?
Introducing Thinkproject Platform
Thinkproject builds construction intelligence software for the firms that deliver Europe's largest
infrastructure, energy, and real estate projects. Our platform manages the information flow across the full lifecycle of a built asset — from design and construction through operation and eventual decommissioning.
By combining deep domain knowledge of the building, infrastructure, and energy industries with a modern SaaS architecture, Thinkproject empowers customers to digitise, connect, and control their construction workflows across their entire asset lifecycle.
What your day will look like
About the Role
We are looking for a Data Integration Engineer to own the data pipelines and integration layer that powers our AI Search Platform. You will design, build, and maintain the workflows that move data reliably from source systems into GCP services — including Vertex AI — and expose that capability through secure, well-designed APIs consumed by internal and external systems.
This is a hands-on engineering role. You will write production code, own the reliability of what you ship, and work closely with DevOps, Network, and Platform Engineering teams.
Tech you will work with daily:
Python | SQL | GCP (Cloud Run, Pub/Sub, Cloud Storage, Cloud Spanner, Vertex AI) | Terraform | PostgreSQL | Docker | Git | CI/CD
Key Responsibilities
Data Integration & Pipeline Development
Design, implement, and optimise scalable data integration workflows supporting inference and data synchronisation across GCP services (Cloud Run, Pub/Sub, Cloud Storage, Cloud Spanner, Vertex AI)
Build and maintain event-driven pipelines and ETL/ELT workflows that deliver clean, reliable data to the AI Search Platform
Automate deployment, testing, and pipeline orchestration using Cloud Run, Pub/Sub triggers, and Terraform
API Development for AI Integration
Build and maintain APIs that expose data integration and AI inference capabilities to internal and external systems
Ensure secure, reliable, and performant access to the AI Search Platform — correct authentication, rate limiting, and error handling by default
Permissions & Compliance Layer
Integrate and enforce API and IAM policies for compliant access control across all AI Search Platform components
Own and evolve the permissions API layer to meet growing scalability and security requirements
Data Quality & Reliability
Ensure data integrity through monitoring, validation, and alerting across all integrated systems and services
Continuously monitor workflows for latency, reliability, and cost efficiency — implement
improvements without waiting to be asked
Documentation & Standards
Maintain architecture documentation and runbooks
Contribute to best practices for data integration, reproducibility, scalability, and security
What you need to fulfill the role
Required Skills & Qualifications
You have 3+ years of hands-on experience in data engineering, cloud integrations, or backend
development and have shipped production data pipelines on GCP. Specifically:
3+ years of professional experience in data engineering, cloud integrations, or backend
development
Strong proficiency in Python and SQL
Production experience with Google Cloud Platform services: Cloud Run, Pub/Sub, Cloud Storage,Cloud Spanner, and Vertex AI
Experience with event-driven architectures and cloud-based ETL/ELT workflows
Experience with relational databases (PostgreSQL, Cloud Spanner) and exposure to NoSQL
Proficient with Git and familiar with CI/CD workflows and containerisation (Docker)
Experience with Terraform or equivalent Infrastructure-as-Code tooling
Working knowledge of IAM, data governance, and access management principles
Nice-to-Have (Bonus Skills)
Azure DevOps or cross-cloud integration experience
API design experience (REST or gRPC)
Experience with AI/ML inference pipelines or Vertex AI in production
Prior work in construction, engineering, or real estate software domains
Soft Skills
Engineering rigour — you care about pipeline reliability and data correctness, not just throughput
Ownership mindset — you monitor what you build and fix it when it breaks
Clear written communication: able to document integration contracts and architecture decisions for non-specialist readers
Collaborative: comfortable working across DevOps, Network, and Platform teams without friction
Comfortable with ambiguity — you can scope and deliver integration work from incomplete upstream specs
What success looks like
Month 3: Core data pipelines understood and contributing to production; first reliability or latency improvement shipped
Month 6: Owning at least one integration area end-to-end; permissions API layer extended with evidence-backed design decisions
Month 12: Data integration reliability measurably improved; pipeline documentation and monitoring coverage complete; identified and closed at least one material cost or latency inefficiency
You're probably NOT a fit if
Your data engineering experience is primarily batch ETL without event-driven or streaming context
You are not comfortable working across cloud-native GCP services in production
You treat IAM and access control as someone else's concern
You need fully defined requirements before designing an integration
What we offer
Compensation (Pune, Mid–Senior)
Competitive fixed salary — shared on request
Variable performance bonus: 5% of fixed
Continuous learning & certification budget
Learning programmes | Career growth | International exposure
At Thinkproject, we run feedback cycles that are honest and frequent. We believe the best engineering cultures are built on trust, transparency, and shared ownership — not hierarchy. Our Pune team is a core part of a global organisation, collaborating across time zones with colleagues in Germany, France, the UK, UAE, Spain, New Zealand, and Australia.
Lunch 'n' Learn Sessions I Women's Network I LGBTQIA+ Network I Coffee Chat Roulette I Free English Lessons I Thinkproject Academy I Social Events I Volunteering Activities I Open Forum with Leadership Team (Tp Café) I Hybrid working I Unlimited learning
Your contact:
Mehal Mehta
Submit your application at careers.thinkproject.com, including:
Salary expectations
Potential start date
A short write-up (max 300 words) on the most complex data integration or pipeline reliability challenge you have solved in production — what broke, what you built, and what you would do differently now
Working at thinkproject.com - think career. think ahead.
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