Data Engineer

Dentsu Aegis Network Ltd.; Hinoba-an; On-site; PHP 792,000 - 1,188,000; Full time

Job summary

Dentsu is seeking a Data Engineer to join our data engineering team in Bengaluru. You will build and maintain data pipelines from APIs and internal sources, transform data with Spark/PySpark and SQL, and deploy orchestration workflows.

You will work with product managers and senior engineers on governance models, tenant data isolation, and integration with Power BI/Tableau. This permanent full-time role emphasizes reliability and scalable architectures.

Qualifications

• 3+ years of experience as a Data Engineer building production-grade data pipelines.
• Hands-on with Apache Spark (PySpark) and SQL for data transformation at scale.
• Experience with cloud platforms (Azure preferred) and cloud-native data storage.
• Experience with Databricks, Unity Catalog or similar governance tools.
• Familiarity with RBAC/ABAC and multi-tenant data governance.

Responsibilities

• Build and maintain data pipelines ingesting data from APIs and internal sources into cloud data lake/lakehouse environments.
• Develop data transformation logic (Spark/PySpark, SQL) to standardize and enrich data for analytics.
• Create and manage orchestration workflows to schedule, monitor, and troubleshoot pipelines.

Skills

Spark / PySpark

SQL

Data pipelines

Cloud platforms

Data governance

CI/CD

Communication

Kubernetes

Airflow

Multi-tenant data

Security

Tools

Databricks

Unity Catalog

Power BI

Tableau

Azure Data Lake / Blob Storage

OKTA / Entra ID

Istio

PlantUML

AKS / Kubernetes

Adverity

CI/CD tooling

Job description

About the Role

We are looking for a Data Engineer to join our data engineering team, building and maintaining the platforms that ingest, transform, and serve data for our media and sustainability analytics products. You will work on self-serve data platforms used by internal teams and clients to connect data sources, apply business logic and taxonomies, and deliver clean, trusted data into reporting and analytics tools. This is a hands-on engineering role where you'll take ownership of well-scoped components while working closely with senior engineers on broader architectural decisions.

What You’ll Do

• Build and maintain data pipelines that ingest data from third-party APIs and internal sources into cloud data lake and lakehouse environments
• Develop data transformation logic (Spark/PySpark, SQL) to standardize, model, and enrich raw data into analytics-ready datasets
• Build and maintain orchestration workflows to schedule, monitor, and troubleshoot data pipeline execution
• Support data governance and access control models (e.g. Unity Catalog, ABAC-based policies) to help ensure data is secure and appropriately scoped by tenant, client, or market
• Work with product managers and senior engineers to implement platform features such as connector frameworks, taxonomy/rules engines, and data export capabilities
• Support integration with visualization and reporting tools (e.g. Power BI, Tableau) and help ensure downstream data consumers have reliable, well-documented access
• Contribute to architecture documentation (e.g. C4 model diagrams) and participate in design reviews
• Troubleshoot data quality, pipeline failures, and performance issues, tracing errors from source to destination
• Work with DevOps/security teams on service account management, credential handling, and infrastructure migrations (e.g. containerization)
• Participate in on-call/support rotations as needed for production data pipelines

What You’ll Bring

• 3+ years of experience as a Data Engineer building production-grade data pipelines
• Solid hands-on experience with Apache Spark (PySpark) and SQL for data transformation at scale
• Experience with cloud platforms (Azure preferred) and cloud-native data storage (e.g. Data Lake / Blob Storage)
• Experience with Databricks, including familiarity with Unity Catalog or similar data governance/catalog tools
• Familiarity with data governance and access control models (RBAC/ABAC), and working with sensitive, multi-tenant data
• Experience integrating data pipelines with BI/visualization tools (Power BI, Tableau, or similar)
• Comfortable working with API-based data ingestion tools/connectors (e.g. Adverity or similar ingestion platforms) is a plus
• Solid understanding of software engineering practices: version control, CI/CD, testing, code review
• Good communication skills and ability to work cross-functionally with product, engineering, and client-facing stakeholders
• Nice to Have Experience with workflow orchestration tools such as Apache Airflow
• Experience with identity/access management integrations (Okta, Entra ID)
• Experience with service mesh technologies (Istio) and containerized deployments (AKS/Kubernetes)
• Exposure to sustainability, ESG, or carbon accounting data models
• Experience with C4 model architecture documentation (PlantUML or similar)

Location: DGS India - Bengaluru - Manyata N1 Block

Brand: Merkle

Time Type: Full time

Contract Type: Permanent

About dentsu

For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way. Find out more about us