Data Engineer

WPP
Chennai
Workplace: HybridFull timeFunction: Software EngineeringExperience: 3+ yearsSkills: ["Collaboration","Documentation"]

Design, develop, and implement scalable data solutions on the Azure Databricks platform for AUNZ. Build and maintain ELT data pipelines using Delta Live Tables and Databricks Asset Bundles, modeling silver/gold datasets for enterprise reporting. Implement governance with Unity Catalog, apply CI/CD and DevOps practices (including GitHub Actions), and support secure deployments, integrations, and documentation. Partner with the Head of Data & Analytics on scoping and delivery.

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WPP
WPP
4 days ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Closed
Reposted: similar role first listed 7 months ago

Job Summary

Design, develop, and implement scalable data solutions on the Azure Databricks platform for AUNZ. Build and maintain ELT data pipelines using Delta Live Tables and Databricks Asset Bundles, modeling silver/gold datasets for enterprise reporting. Implement governance with Unity Catalog, apply CI/CD and DevOps practices (including GitHub Actions), and support secure deployments, integrations, and documentation. Partner with the Head of Data & Analytics on scoping and delivery.
Location: Chennai
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, test, and maintain ELT data pipelines using Databricks, Delta Live Tables, and Databricks Asset Bundles.
  • •Manage data workflows and orchestration to ensure ELT accuracy and availability.
  • •Implement Unity Catalog governance, including access controls, data lineage, and data discovery.
  • •Apply CI/CD and DevOps practices (GitHub Actions) for deployment, testing, and release management.
  • •Propose technical designs, build integrations (including via APIs), execute scoped data migrations, and maintain engineering documentation.

Key Requirements

  • •3+ years designing and building scalable distributed data pipelines and dimensional data models.
  • •3+ years experience in Python and SQL.
  • •Hands-on experience with Databricks including Unity Catalog, DABs, and DLT, plus PySpark.
  • •Experience with Azure data services including ADLS Gen2, Azure Key Vault, and Azure SQL.
  • •Understanding of CI/CD and Agile practices, including unit/integration testing.
Experience:3+ yearsData engineeringData pipelinesELTAnalytics reporting
Skills:CollaborationDocumentation
Languages:English
Tech Stack:Azure DatabricksDatabricks Unity CatalogDatabricks Asset BundlesDelta Live TablesPySparkSQLPower BIMedallion architectureDeltaGitHub ActionsCI/CDAzure ADLS Gen2Azure Key VaultAzure SQLAPIsData lineage

Company Brief

WPP
Global marketing and communications services group offering advertising, media investment management, branding, public relations, and digital services to multinational clients across industries.
Industry: Advertising Media Groups
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1971
WebsiteLinkedIn