Global Data Ml Engineer Multilingual Speech & Ai

Global Data Ml Engineer For Multilingual Speech AI

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data 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.

Recruiting for this role ends on Sep, 30th 2026.

• Architect, build, and operate scalable batch and near-real-time data pipelines on AWS.
• Design robust ingestion patterns from source systems into S3 and into Snowflake.
• Develop transformation layers and curated datasets in Snowflake, including dimensional/data product modeling for analytics and downstream applications.
• Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.
• Build reusable Python components for ingestion, validation, and transformations; enforce standards via code reviews and testing.
• Optimize Snowflake performance and cost warehouse sizing, concurrency patterns, query tuning, clustering/micro‑partition considerations, and workload isolation.
• Partner with stakeholders to translate requirements into well‑defined datasets and data contracts.
• 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 work streams focused on improvement, optimisation, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.

AI & Data – 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 modernising technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

• 7+ years of experience as a Data Engineer delivering production‑grade data pipelines and curated datasets.
• 7+ years of hands‑on experience with SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT.
• 7+ years of experience designing, building, and operating batch and near‑real‑time data pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).
• Experience with data integration frameworks and orchestration tools.
• Proficiency in designing and implementing Lakehouse/warehouse architectures and ELT patterns.
• Knowledge of Dev Ops principles: CI/CD pipelines, version control, Infrastructure‑as‑Code.
• Ability to optimise data storage, partitioning, file formats (Delta, Parquet), and performance.
• Understanding of data quality, data governance, and metadata management.
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
• Limited immigration sponsorship may be available.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

• Agile delivery experience (5-10 years).
• Analytical ability to manage multiple projects and prioritise tasks into manageable work products.
• Can operate independently or with minimum supervision.
• Excellent written and communication skills.
• Ability to deliver technical demonstrations.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organisational needs. The disclosed…