Data Engineer Specialist
Data Platform, AI
Location
Mumbai, India
Work type
Onsite
Employment
Full Time
Experience
8-10 years
Compensation
Compensation not disclosed
Posted
2d ago
Summary and responsibilities
Role overview
Summary
This role involves leading engineering teams across data engineering, backend development, and DevOps to design, develop, and evolve scalable data platform architectures. The specialist will drive the creation of reliable data layers, implement data governance and quality standards, and lead AI enablement initiatives.
Responsibilities Role Overview
You will play a critical role in the structuring, development, and delivery of large-scale technology solutions for Publicis Media France.
You will lead engineering teams across data engineering, backend development and DevOps, owning the technical roadmap of the Data Platform and ensuring its scalability, reliability and long-term evolution.
Key Responsibilities / Missions
Technical Leadership & Architecture
Lead the design and evolution of scalable platform architectures.
Define and enforce architecture, development and security standards.
Make strategic technical decisions aligned with business and product needs, and promote engineering best practices across teams.
Data Platform Delivery (SILVER / GOLD)
Drive the development of curated Data Platform layers (SILVER and GOLD datasets).
Ensure datasets are reliable, standardized and analytics-ready, enabling downstream reporting, activation and advanced use cases.
Data Governance
Contribute to the definition and implementation of Data Governance practices, including documentation, ownership, access control, lineage and governance standards, as part of the platform roadmap.
Data Quality
Embed Data Quality as a core platform capability by defining quality standards, implementing automated tests, monitoring, and ensuring strong documentation and traceability across pipelines.
AI Enablement & Exploratory Topics
Lead AI enablement initiatives as part of the platform roadmap, including exploratory work around Cloud and Platform AI Agents.
Identify opportunities where AI can improve data quality, governance, observability, automation and developer productivity, while ensuring responsible and secure adoption.
DevOps & Platform Engineering
Promote Infrastructure-as-Code, CI/CD pipelines, testing strategies and deployment automation.
Establish coding guidelines, documentation standards and review processes to ensure engineering excellence.
Team Leadership & Skill Development
Lead and mentor offshore engineering teams.
Define skill development plans across data engineering, cloud platform engineering, governance, quality and AI topics.
Encourage knowledge sharing and allocate capacity for proof-of-concepts and innovation.
Core Technology Stack
Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions, Cloud Run, Pub/Sub), Airflow / Cloud Composer, DBT, Python, SQL, Terraform, CI/CD pipelines.
Qualifications
8-10 years of experience in Platform Engineering, Data Engineering or Backend Engineering.
Proven experience leading distributed teams, delivering large-scale data platforms, and operating as a senior technical leader.
Excellent communication skills in English.
Updated 2d ago
Candidate fit
Skills and qualifications
Additional skills
Experience
8-10 years
How this role is positioned
Role classification
Job domains
Industries
Employment
Full Time
Contract duration
Permanent
Hiring type
Direct
Global hiring
Location specific
Offer details
Compensation and benefits
Compensation
Compensation not disclosed
Location, schedule, and role shape
Work setup
Work conditions
Bandwidth profile
Context on the employer
Company snapshot
Company
Epsilon Data Management
Team size
Growing team
Location
Mumbai, India
Epsilon Data Management is a technology company focused on structuring, developing, and delivering large-scale technology solutions, particularly data platforms, for clients in the media sector.
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Data Engineer Specialist
Mumbai, India • Full Time