Director Data Engineering (GCP)

Deutsche Telekom Digital Labs • Mobile Networks • IT Consulting & Digital Transformation • Python • ETL/ELT • 3 days ago

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Salary

≈ $53k – $109k per year (Estimated)

Location

In office (Gurgaon)

Seniority

Architect · 15+ years exp

First seen by Alion on Oct 23, 2026.

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Deutsche Telekom Digital Labs

Deutsche Telekom Digital Labs is the Indian engineering centre of the German telecommunications group Deutsche Telekom, established in Gurgaon in 2018. Its teams build the digital products the group ships across its European markets, including the customer applications used by mobile and broadband subscribers, the commerce and ordering systems behind them, television and streaming clients, and the platform and data infrastructure shared between national operating companies. The centre works as a product organisation rather than an outsourcing vendor, owning services end to end and releasing them into several European markets at once.

dtdl.in • HQ: Gurgaon, India • Mobile Networks • IT Consulting & Digital Transformation • 501-1000 employees • Est. 2018

Tech stack of Deutsche Telekom Digital Labs

We are looking for a Director - Data Engineering to lead the design and delivery of enterprise-scale Data Platforms on Google Cloud Platform (GCP)The ideal candidate should have hands-on expertise in Python, Spark, ETL, and GCP, with proven experience in building and scaling an end-to-end data platform from scratch.

Responsibilities:

Lead the architecture, development, and evolution of large-scale data platforms on GCP.
Build and optimise scalable ETL pipelines using Python and Spark.
Define the data platform strategy, architecture, and engineering best practices.
Drive cloud-native data solutions for performance, scalability, and reliability.
Lead and mentor high-performing data engineering teams.
Collaborate with product, analytics, and business stakeholders to deliver data-driven solutions.

Requirements:

15-18 years of experience in data engineering and platform development.
Strong expertise in Python, Spark, ETL, and GCP (Mandatory).
Proven experience in building an enterprise data platform on GCP from the ground up.
Deep understanding of distributed data processing, cloud architecture, and modern data platforms.
Experience leading large engineering teams in a product-based environment.
Strong leadership, stakeholder management, and architectural decision-making skills.

Skills

GCP, Google Cloud Platform, Python, Spark

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