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Senior Data EngineerCurrencies Direct · India - Hyderabad
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Currencies Direct

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Senior Data Engineer

🗓️ Posted 2026-08-15 India - Hyderabad Hybrid ICT
💰 Salary Not shared 📊 Market ₹180,000–₹300,000/mo

About the Company

Winning Money Transfer Provider of the Year at the 2021 MoneyAge Awards, Currencies Direct stands out in the foreign exchange industry for its unique combination of payments technology and personalised support from a team of experienced professionals. Established in 1996 Currencies Direct was the first non-bank foreign exchange provider in Europe. Today we've helped over 425,000 customers, offering straightforward payments solutions to businesses operating in international markets. With detailed market insight and expert consultation, we help our customers mitigate the risks associated with currency exposure, make smarter currency management decisions and expand their businesses globally. Financial Services Specialties: International payments, Hedging, Forward contracts, Mortgage payments abroad, Spot contracts, Buying/Selling property abroad, International Payment Solutions, Embedded Payments, API solutions, ERP integration, Mass payments, Finance automation

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.

Responsibilities

  • ● 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
  • ● + years of experience in data engineering, platform engineering, or similar hands-on roles.
  • ● Strong programming skills in Python and SQL.
  • ● Hands-on experience with:
  • ● Cloud platforms (AWS, Google Cloud, or Microsoft Azure)
  • ● CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)

Benefits

  • ● 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.