Senior Consultant - Data Engineer (AI & ML Data Platforms)

Slalom; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

Slalom is a global, human-centric business and technology consulting firm that partners with organizations to deliver data and AI solutions. Slalom's Data & AI practice helps clients build enterprise-scale data platforms powering analytics, ML and GenAI.

We are seeking a Senior Consultant – Data Engineer to lead technical delivery workstreams, mentor engineers, and work directly with client stakeholders to architect and implement scalable, AI-enabled data solutions in cloud environments.

Qualifications

• 5–8+ years of experience in Data Engineering and modern cloud data platforms.
• Strong expertise across AWS, Azure, and/or GCP ecosystems.
• Extensive experience with Snowflake and Databricks.
• Strong Python engineering skills and software engineering fundamentals.
• Experience leading technical delivery workstreams and mentoring engineers.
• Experience designing and implementing AI and ML data platforms.
• Experience implementing model monitoring and observability capabilities.
• Strong stakeholder management and communication skills.
• Ability to align technical solutions with business outcomes.

Responsibilities

• Lead, mentor, and inspire engineering teams while setting high technical standards. Support team growth and drive innovation.
• Design and deliver secure, scalable cloud data platforms. Architect modern data solutions for top cloud providers.
• Modernise data platforms and real-time systems using AWS, Azure, and GCP. Build and launch production-ready machine learning pipelines.
• Deploy AI solutions in collaboration with diverse teams. Develop and support enterprise GenAI and LLM-powered applications.
• Deliver innovative GenAI solutions with strong governance - robust monitoring for data and AI models. Ensure model reliability, data quality, and compliance.
• Lead client engagements, deliver impactful technical solutions, and serve as a trusted advisor.

Skills

Python

Cloud data

Data engineering

Leadership

Stakeholder management

Tools

Snowflake

Databricks

AWS

Azure

GCP

Job description

Slalom is a global, human‑centric business and technology consulting firm. We specialise in partnering with organisations that aspire to excellence, helping them tackle complex challenges and achieve transformative results through strategy, technology, and business transformation services. By prioritising people, Slalom creates a unique consulting experience, with a team of strategists and engineers delivering practical, end‑to‑end solutions that drive impactful outcomes for our clients. We empower people and organisations to dream bigger, move faster, and build better tomorrows for all.

About the Role

At Slalom, we partner with organizations to design and deliver modern Data & AI ecosystems that enable innovation, operational efficiency, and business transformation. Our teams help clients build enterprise‑scale data platforms that power analytics, machine learning, Generative AI, and intelligent applications. As a Senior Consultant – Data Engineer, you will lead technical delivery workstreams, guide engineering teams, and work directly with client stakeholders to architect and implement AI‑enabled data solutions. A senior engineering and delivery leadership role focused on designing, delivering, and scaling enterprise data, AI, and GenAI platforms.

What You’ll Do

• Lead, mentor, and inspire engineering teams while setting high technical standards. Support team growth and drive innovation.
• Design and deliver secure, scalable cloud data platforms. Architect modern data solutions for top cloud providers.
• Modernise data platforms and real‑time systems using AWS, Azure, and GCP. Build and launch production‑ready machine learning pipelines.
• Deploy AI solutions in collaboration with diverse teams. Develop and support enterprise GenAI and LLM‑powered applications.
• Deliver innovative GenAI solutions with strong governance - robust monitoring for data and AI models. Ensure model reliability, data quality, and compliance.
• Lead client engagements, deliver impactful technical solutions, and serve as a trusted advisor.

What You’ll Bring

• 5–8+ years of experience in Data Engineering and modern cloud data platforms.
• Strong expertise across AWS, Azure, and/or GCP ecosystems.
• Extensive experience with Snowflake and Databricks
• Strong Python engineering skills and software engineering fundamentals.
• Experience leading technical delivery workstreams and mentoring engineers.
• Experience designing and implementing AI and ML data platforms.
• Experience implementing model monitoring and observability capabilities.
• Strong stakeholder managementand communication skills.
• Ability to align technical solutions with business outcomes.