Data Platform Engineer (7-12 yrs)

Our client is a premier global technology consultancy, crafting bespoke software solutions that transform digital landscapes for Fortune 500 companies and government institutions worldwide.

Their deep expertise in product engineering and cloud-native architectures enables them to build market-defining platforms that drive innovation across digital, mobile, and emerging technologies.

With a presence spanning three continents and a track record of successful large-scale transformations, they blend agile methodologies with engineering excellence to deliver measurable business outcomes for the world's most demanding organizations.

About the Role :

We're seeking exceptional Data Engineers who possess a profound mastery of their craft and thrive on solving complex data challenges at scale.

As a senior practitioner, you'll architect and implement sophisticated data pipelines, orchestrate efficient data transformations, and design robust storage solutions that handle enterprise-scale workloads.

You'll leverage your deep technical expertise in analytics clusters and modern data platforms while embracing a problem-solving mindset that turns complex challenges into elegant solutions.

The ideal candidate demonstrates remarkable technical depth coupled with an unwavering passion for engineering excellence.

You'll work alongside fellow craftspeople who share your commitment to pragmatic innovation and continuous improvement.

We value those who not only deliver outstanding technical solutions but also elevate the capabilities of their peers through knowledge sharing and collaborative problem-solving.

Your approach should blend technical sophistication with practical implementation, always focused on delivering high-impact outcomes through modern engineering practices and rapid iteration cycles.

Core Responsibilities :

- Architect and lead end-to-end data solutions, collaborating with stakeholders to transform business requirements into scalable technical implementations.

- Design and engineer robust, highly available data pipelines and enterprise-grade data warehouse solutions.

- Champion engineering excellence through modern practices including test-driven development and continuous deployment.

- Orchestrate automated infrastructure deployments and optimize data processing workflows Drive technical innovation and best practices across teams.

- Provide technical mentorship and elevate team capabilities Spearhead data transformation initiatives that deliver measurable business impact.

Technical Excellence Required :

- Proven track record of architecting and implementing enterprise-scale data platforms and pipelines.

- Deep expertise in cloud-native architectures across major providers (AWS, GCP, Azure).

- Strong programming fundamentals with advanced proficiency in Python or Scala.

- Extensive experience with production-grade databases, modern data warehouses, and distributed systems.

- Advanced SQL mastery and sophisticated data modeling capabilities.

- Demonstrated success in handling large-scale data processing challenges.

- Comprehensive understanding of data governance, security frameworks, and GDPR compliance.

- Strong command of infrastructure-as-code practices, version control systems (Git), and modern CI/CD toolchains.

- Proven ability to bridge the gap between data science and engineering, providing technical leadership and enablement.

- Outstanding collaboration skills with experience leading distributed teams and driving consensus across stakeholders.

- Given the strategic nature of this role and its impact on mission-critical data platforms, candidates should anticipate a comprehensive technical evaluation process that deeply assesses both engineering mastery and architectural thinking.

- We encourage only those with demonstrable expertise and a passion for engineering excellence to apply.