Senior Data Engineer

Job Overview

We are hiring highly skilled Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines on Google Cloud Platform (GCP) for our GCC client — Europe’s top retail brand. The ideal candidate will have strong experience in modern data architecture, distributed processing, and cloud-native engineering practices. Exposure to Azure Data Factory (ADF) is considered a strong plus. This opportunity gives you exposure to enterprise-scale initiatives in retail and supply chain, working alongside a peer group of talented engineers, architects, and domain specialists across geographies in a collaborative, innovation-driven environment. It’s a role that not only sharpens your technical expertise but also provides long-term visibility and growth within a global organization.

Key Responsibilities

• Design and implement scalable batch and streaming data pipelines on GCP.
• Build and maintain data solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and related services.
• Architect robust data models for analytics, BI, and AI/ML use cases.
• Lead technical discussions and mentor junior data engineers.
• Optimize data processing performance, cost, and reliability.
• Implement CI/CD, DevOps, and Infrastructure-as-Code practices.
• Collaborate with data architects, analysts, and business stakeholders to deliver high-quality solutions.
• Ensure data governance, security, and compliance standards are followed.

Requirements & Skills

• 6–9 years of experience in Data Engineering or Data Platform development.
• Strong hands-on experience with GCP services: BigQuery, Dataflow (Apache Beam), Dataproc / Spark, Pub/Sub, Cloud Composer (Airflow)
• Advanced Python and SQL skills.
• Expertise in building ETL/ELT pipelines and data modeling.
• Experience with distributed processing frameworks (Spark preferred).
• Strong understanding of Data Lakehouse architecture.
• Experience with Azure Data Factory (ADF) or Azure data ecosystem.
• Knowledge of Terraform or other IaC tools.
• Exposure to ML/AI data pipelines.
• Experience with containerization (Docker/Kubernetes).
• Familiarity with BI tools such as Power BI or Looker.
• Strong leadership and mentoring ability.
• Excellent communication and stakeholder management.
• Ability to work in fast-paced, Agile environments.