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Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the…
Working Environment You'll work on real, live systems where delivery quality, operational reliability, and adaptability matter more than theoretical knowledge. Collaboration across engineering, platform and…
What You'll Be Doing - Design, build, and operate AI‑enabled software and platform solutions - Develop and maintain API‑driven services and integrations that allow systems to work effectively with AI capabilities -…
What You'll Be Doing - Provide technical leadership across AI-enabled software and DevOps engineering teams - Set architectural direction for API-first design, system integration, and platform enablement for AI - Lead…
Working Environment Data engineering work is grounded in real operational needs, often involving imperfect data, technical constraints and organisational complexity. Engineers work closely with delivery teams and…
Working Environment The organisation is operating in a fast-evolving AI landscape, with multiple teams at different stages of maturity. Governance and structure are present but not rigid, and success depends on an…
Working Environment You will operate with a high degree of autonomy, owning work end-to-end and engaging closely with both technical and non-technical stakeholders. Delivery is supported by a strong technical assurance…
Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning…
Working Environment The organisation is building momentum in AI but remains relatively early in its maturity. This creates both ambiguity and opportunity. You will work closely with engineers, technical leaders,…
Founding Senior Data Engineer at Headfirst Global's new Hyderabad capability centre, building and owning Azure Databricks lakehouse pipelines end to end — Lakeflow ingestion, medallion layers, Unity Catalog governance, and CI/CD — while mentoring engineers and collaborating daily with senior teams in the UK and Netherlands.
Medior Data Engineer joining HFG's new Hyderabad Global Capability Centre as a founding team member, building and maintaining production Azure Databricks pipelines (PySpark, Delta Lake, ADF ingestion, DLT/DABs) and handling day-to-day pipeline reliability and data quality alongside senior engineers in the UK, Netherlands, and US.
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