Data Foundations Engineer

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Foundations Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel.

If so, consider an opportunity with Deloitte under our Project Delivery Talent Model.

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities

The Data Foundations Engineer designs and scales modern data architectures powering Wallet, Payments, and Commerce products.

This role focuses on building high-performance data pipelines and enabling analytics and ML use cases, with strong fundamentals in data modeling and scalable systems.


* Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management


* Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

Data Engineering & Architecture


* Design and implement scalable batch and near-real-time data pipelines.


* Develop ETL/ELT workflows optimized for performance and cost.


* Implement dimensional data models and standardize business metrics.


* Instrument APIs and user journeys to capture behavioral and transactional data.

Data Governance & Quality


* Ensure data integrity, governance, privacy, and compliance.


* Maintain reliability and availability of mission-critical systems.

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

These solutions are powered by engineering for business advantage, transforming mission-critical operations.

We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms.

Our delivery models are tailored to meet each client's unique requirements.

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Qualifications

Required


* 6+ years of experience in data engineering for analytics or ML systems.


* Strong SQL proficiency.


* 6+yrs experience in Python, Scala, or Java.


* Hands-on experience with Spark, Kafka, and Airflow (or similar).


* Strong understanding of data modeling and lakehouse architectures (e.g., Iceberg).


* Experience with AWS, Azure, or GCP.


* Comfort...