Data Engineer (Microsoft Fabric / Azure)

We are scaling a strategic Digital Operations capability and seeking a pragmatic, delivery-focused Data Engineer to design, build and operate end-to-end data platforms that drive product-performance analytics.

Key responsibilities

Engineer robust ETL/ELT pipelines and data models to ingest, transform and surface large volumes of structured & unstructured product and customer data.

Own data lake migrations and One-Lake availability; operationalize data for cross-functional stakeholders.

Implement CI/CD for data deployments and maintain pipeline observability and data quality.

Deliver dashboards and actionable visual insights to Product, Marketing and Engineering teams.

Collaborate across Digital Ops, BI and Regional Engineering; mentor junior engineers and codify best practices.

Must-have skills & experience

35 years in data engineering.

Strong PySpark and SQL proficiency.

Hands-on with Microsoft Fabric and Azure services (Data Lake, Synapse, Data Factory, Databricks).

Experience with CI/CD for data workflows (Azure DevOps / GitHub Actions).

Solid data modelling, warehousing and data governance fundamentals.

Effective stakeholder communication and a drive for measurable outcomes.

Nice-to-have

Relevant Azure/data certifications (e.g., DP-700).

Exposure to product performance analytics or industrial data domains

Notice Period: Immediate joiners preferred