Through our MSP, RPO, Direct Sourcing, Services Procurement and Consulting services, we help organizations find, engage, and manage the best permanent and contingent talent across the globe. Part of Impellam Group, we champion A Better Way, a people-first approach that integrates deep industry expertise with advanced technology. Our technology turns workforce complexity into clarity, with real-time insights that support smarter talent decisions at scale.

With over 1.5 million STEM and professional experts in our network across 80+ countries, we don't just solve today's challenges. We're helping to shape the workforce of tomorrow. HFG is building its Hyderabad Global Capability Centre (GCC) as the long-term engineering backbone of its global data platform.

This is a permanent, full time role requiring 3–5 years' total experience with 2+ years in production Databricks, working a minimum four-hour overlap with either CET (approx. 18:00–22:00 IST) across a 40 hour week. We are looking for Medior Data Engineers to join as early members of the GCC team — engineers who are solid on Databricks fundamentals, thrive on BAU pipeline operations and reliability work, and are ready to grow into senior responsibilities within a world-class global engineering environment. Working closely with senior engineers in the UK and Netherlands, the Medior Data Engineer builds hands-on delivery experience while contributing to the day-to-day reliability of the India GCC's data platform.

About HFG & the Data Platform: The Global Data & AI team is building the Headless Data Architecture (HDA) — a hub-and-spoke federated Lakehouse platform on Azure Databricks, enabling analytics, AI, and operational intelligence across the group's global business units. The platform runs on Azure Databricks with Unity Catalog, Lakeflow, Mosaic AI,



and AgentBricks as core components, and integrates with SnapLogic for enterprise connectivity. All AI workloads route through the Unity AI Gateway.

The India GCC team is being built as the long-term engineering backbone of this platform, working in close collaboration with senior engineers in the UK, Netherlands, and the US. Build, maintain, and improve production Databricks data pipelines across the bronze, silver, and gold medallion layers under the guidance of senior engineers. Handle BAU (business as usual) pipeline operations — monitoring pipeline health, resolving failures, investigating data quality issues from root cause to fix, and maintaining Delta table health.

Implement data quality checks, schema validation, and alerting within Databricks Workflows and Delta Live Tables. Write reliable, idempotent PySpark and Spark SQL transformations following HFG FITT pipeline standards. Deploy pipeline changes across environments using Databricks Asset Bundles (DABs) or Azure DevOps CI/CD pipelines.

Document pipeline logic, data lineage, and operational runbooks to keep the platform maintainable as the team scales. Support the onboarding of new data sources into the Lakehouse — mapping source schemas, building ingestion logic, and validating output quality.

Qualifications & Experience: 2+ years of hands-on Databricks experience — PySpark, Delta Lake, and Databricks Workflows in production.



Understanding of medallion architecture (Bronze, Silver, Gold) and ability to work within an established layer pattern.

Solid

Python and SQL for data transformation tasks.

Azure Data

Factory (ADF) pipeline development and monitoring. Azure cloud familiarity — ADLS Gen2, Key Vault, Azure DevOps. Valuable debugging and root-cause analysis skills for production data pipeline incidents.

Databricks Certified Data Engineer

Associate certification (or active pursuit). Strong written English for async international collaboration.

Databricks Asset

Bundles (DABs) for CI/CD deployment. dbt for SQL-layer transformation.

Experience with Snap Logic, MuleSoft, or similar iPaaS tools. Data quality frameworks such as Great Expectations or dbt tests. This role is based in Hyderabad and works in a hybrid model. 18:00–22:00 IST) across a 40-hour week. The India GCC team meets daily with the global Data & AI team for standups, code reviews, and delivery planning. Strong written and spoken English communication is essential.

Azure

Databricks — Delta Lake, Unity Catalog, DLT, DABs, Lakeflow, Mosaic AI SnapLogic — enterprise integration and data orchestration Azure (ADLS Gen2, Entra ID, Key Vault, Azure DevOps, GitHub Actions) Python, PySpark, Spark SQL Unity AI Gateway — governed LLM routing and observability Be a founding member of the India GCC — shape how the team is built and the engineering standards it runs on Work on a globally scaled platform serving EU, UK, US, and APAC business units simultaneously Direct exposure to AI-enabled data engineering on one of the most modern Databricks deployments in the staffing industry Hyderabad-based with a global engineering mandate — not an offshore support function.

📌 Data Engineer (SQL) (Permanent)
🏢 Guidant Global
📍 Hyderabad