AI + Data Engineer

AI + Data Engineer — Fully Remote

Bhalekar Consulting · Applied AI & Data Engineering · Official Anthropic & Databricks Partner

About the role We're an applied-AI and data consultancy delivering production-grade AI and data platforms for clients across financial services, retail, supply chain, and the public sector. As an official Anthropic and

Databricks partner, we build modern, agentic AI systems on top of clean, well-engineered data foundations — and we're looking for an engineer who is genuinely strong on both sides of that line. This is a

fully remote position. You'll work directly with senior delivery leads and clients, owning meaningful pieces of the build from data ingestion through to AI-powered applications in production.

What you'll do

• Design, build, and operate data pipelines and lakehouse architectures on

Databricks (Delta Lake, Unity Catalog, workflows, Medallion architecture).

• Build and deploy

agentic and generative AI solutions using

Anthropic's Claude models — including prompt engineering, tool use / function calling, MCP integrations, and retrieval-augmented patterns.

• Develop and maintain cloud-native data and AI infrastructure on

AWS , with a serverless-first, cost-conscious mindset.

• Build with

security by design — least-privilege access, encryption, secrets management, and safe handling of sensitive client and AI data throughout the pipeline.

• Translate ambiguous client problems into reliable, observable, well-tested systems.
• Collaborate across delivery teams spanning multiple time zones, and contribute to engineering standards and reusable assets.

Required qualifications

• AWS certification is required — at least one current associate-level (or higher) certification such as AWS Certified Data Engineer – Associate, AWS Certified Machine Learning, or AWS Certified Solutions Architect.
• Strong hands-on experience with

Databricks and the Spark/Delta Lake ecosystem.

• Working knowledge of

Anthropic's Claude and the broader LLM/agentic-AI landscape — practical experience building with the Claude API, prompt engineering, and AI application patterns.

• Solid software engineering fundamentals: Python and SQL, version control, CI/CD, testing, and infrastructure-as-code.
• A solid grounding in

security is essential — you understand cloud security fundamentals (IAM, network security, encryption in transit and at rest), data privacy, and how to build and operate systems that protect sensitive information.

• Experience taking data and AI workloads to

production , not just prototypes.

• Excellent written communication and the discipline to work effectively in a distributed, remote team.

Nice to have

• Databricks certifications (Data Engineer Associate/Professional or Machine Learning Associate).
• Experience with

Model Context Protocol (MCP) and multi-agent systems.

• Background in regulated industries (finance, healthcare, government) or consulting delivery.
• Familiarity with data governance, lineage, and SOC 2-aligned practices.
• Security certifications (e.g. AWS Certified Security – Specialty, CISSP) or hands-on experience with compliance frameworks.

What we offer

• Fully remote work with flexibility.
• Hands-on work with the latest from Anthropic and Databricks as an accredited partner.
• High-ownership delivery across a varied client portfolio.
• A small, senior team where your work has direct, visible impact.

How to apply Send your CV, a short note on a project you're proud of, and links to relevant work (GitHub, portfolio, certifications) to [

careers@bhalekar.com.au ] . Please include the role title in your subject line. Bhalekar Consulting is an equal-opportunity employer. We welcome applicants of all backgrounds and assess every candidate on merit.