Senior Data (Platform) Engineer
Location: Hyderabad | Department: Technology, Data
About the Role
Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier? As a Senior Data Platform Engineer, you will be hands-on in building, operating, and improving our core data platform and AI/LLM enablement tooling.
You’ll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You’ll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems.
What You'll Do
Data Platform & Infrastructure
- Build, deploy, and operate cloud infrastructure for data and AI workloads using Infrastructure as Code (Terraform).
- Provision and manage cloud resources across development, staging, and production environments.
- Develop and maintain CI/CD pipelines for data transformations, orchestration workflows, and platform services.
- Operate and scale containerized workloads on Kubernetes, including Airflow, internal APIs, and AI/LLM services.
- Troubleshoot and resolve infrastructure, pipeline, and orchestration failures to ensure platform reliability.
- Maintain and support existing ML services and pipelines to ensure stability and reliability (No expectation to design or develop new ML models or training pipelines).
- Continuously monitor and optimize platform performance and cost.
Framework, Tooling and Enablement
- Build and maintain reusable frameworks and patterns for dbt, Airflow, Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.), Internal data and AI APIs
- Build and support infrastructure and pipelines for AI/LLM-based use cases, including orchestration, integration, and serving.
- Improve developer experience for Analytics Engineering and Insights teams by reducing friction in local development, deployments, and production workflows.
- Create and maintain technical documentation and examples to support self-service analytics and data development.
What You’ll Need
Technical Skills & Experience
- 5+ years of experience in data engineering, platform engineering, or similar hands-on roles.
- Strong programming skills in Python and SQL.
- Hands-on experience with:
- Terraform
- Airflow
- dbt
- Kubernetes
- Cloud platforms (AWS, Google Cloud, or Microsoft Azure)
- CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)
- Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.)
- Strong understanding of analytical data models and how analytics teams consume data.
- Experience integrating and operating LLM-based pipelines and services (not model training).
Soft Skills & Collaboration
- Strong problem-solving skills and ability to debug complex platform issues.
- Strong preference for declarative development, with the ability to clearly separate what a system should do from how it is implemented.
- Clear communicator who can work effectively with both technical and non-technical stakeholders.
- Pragmatic, ownership-driven mindset with a focus on reliability and simplicity.
Why Join Us?
We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together.
Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Prepare for your Senior Data Engineer interview at Redpin (Currencies Direct).
Interested in this role?
Apply now or practice with AI
Currency and money transfer business (Currencies Direct group) operating a platform with roles listed under Redpin.