Senior Consultant/ Data Engineer
About The Position
BizFirst is supporting our client in identifying a Senior Consultant/Data Engineer to join a growing consulting team working across industries, clients, and technologies. This role is best suited for a strong mid-level data engineer who wants to broaden exposure across clients, platforms, and solution design. Our client is a fast-growing global data and AI consultancy with operations across three continents and 140+ consultants serving 70+ enterprise clients. They've built a consultant-first culture with a proprietary learning academy, paid certifications, and deep partnerships with platforms like Snowflake, Databricks, and Google Cloud. The US office combines the credibility of an established global brand with the energy of a New York startup. You're not just taking a job, you're investing in your growth. You'll work across industries and client engagements that stretch your thinking. You'll have access to proprietary playbooks and toolkits that fast-track your success on projects. And you'll always have a principal consultant who has your back, not just be thrown into the deep end. You'll help clients modernize data environments and turn business needs into practical technical solutions. The work centers on data engineering, cloud platform delivery, and migration from legacy environments to modern data stacks.
Requirements
- 4+ years of experience in data engineering or modern data platform delivery
- Bachelor's degree in a technical field
- Strong fundamentals in data modeling, data architecture, and platform migration
- Hands-on experience with at least two modern data platforms or cloud ecosystems
- Ability to gather requirements, work directly with clients, and translate business needs into technical solutions
- Comfortable building data workflows, while also thinking through the broader platform, architecture, and stakeholder picture
- Ability to balance working independently and being a strong teammate in a fast-moving consulting environment
- Curiosity and a genuine interest in learning new tools, patterns, and approaches
Nice To Haves
- Experience with data architecture design, governance, or platform modernization
- Certifications in any of the key platforms or tools, such as SnowPro, dbt, GCP Professional Data Engineer, or Databricks
- Exposure to ML pipelines, MLOps, or AI-adjacent data engineering
Responsibilities
- Work with clients and internal teams to understand data needs and translate them into practical technical solutions
- Help design and deliver modern data platforms, including cloud migrations, data models, and scalable analytics foundations
- Build and maintain data ingestion, transformation, and orchestration workflows as part of broader platform solutions
- Contribute to reliable, secure, and cost-effective data environments across cloud ecosystems
- Partner with analysts, ML engineers, and platform teams to support reporting, analytics, and AI use cases
Benefits
- Proprietary learning academy with 100+ custom modules
- Mentoring program with a Senior Support Lead
- 360-degree progress reviews with real feedback, not fluff
- Guilds, regular training, and peer learning
- Paid certifications across all major platforms
- Hackathons and innovation days
- Kudos and recognition programs
- Socials, book clubs, Data & Drinks, and team building days
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
