Manager – Data Engineering (Individual Contributor)
📍New York City | Hybrid (2–3 days)
💰Up to $140k + bonus
❌No Visa Sponsorship Available

We’re partnering with a fast-growing technology consultancy delivering cutting-edge work across Data, AI, and Cloud. They help enterprise organisations modernise their data ecosystems, accelerate delivery, and build scalable platforms that drive real business impact.
They’re now looking for a hands-on Manager (Data Engineering) to join their consulting team and lead delivery across enterprise data transformation engagements.

Despite the title, this is very much an Individual Contributor (IC) role rather than a people management position. This person will remain close to the technology, leading technical delivery and client engagements while staying hands-on with implementation work.
This is a brilliant opportunity for someone who enjoys solving complex technical challenges, working directly with enterprise clients, and driving delivery across modern data platform initiatives.

What You’ll Be Doing
You’ll take ownership of delivery across key client engagements, helping organisations design and implement modern cloud-based data platforms, with a strong focus on Databricks environments.
This role sits at the intersection of technical delivery, stakeholder management, and hands-on engineering.
You’ll be responsible for:

• Leading delivery across data engineering projects and technical workstreams

• Driving implementation of scalable cloud data platforms and pipelines

• Working closely with enterprise clients to define scope, priorities, and delivery plans

• Acting as a technical lead for Databricks-focused solutions

• Remaining hands-on with engineering and solution delivery

• Reviewing architecture, code quality, and engineering best practices

• Managing risks, dependencies, and project milestones

• Facilitating agile ceremonies and stakeholder workshops

• Mentoring consultants within delivery teams

• Supporting solution scoping, estimates, and technical proposals

• Contributing to repeatable frameworks, delivery playbooks, and best practices

What They’re Looking For
Core Experience

• Around 5+ years of experience within Data Engineering or related fields

• Strong hands-on experience delivering modern cloud data platforms

• Proven Databricks experience in enterprise environments

• Previous consulting or client-facing experience is highly preferred

• Comfortable owning delivery for projects or technical workstreams

• Someone who enjoys remaining hands-on rather than moving into pure people management

Technical Skills

• Strong Python and SQL experience

• Experience building and optimising data pipelines

• Strong understanding of ETL / ELT patterns

• Experience with Spark and orchestration tools

• Exposure to data warehousing, lakehouses, or analytical platforms

• Experience with at least one major cloud platform (AWS, Azure, or GCP)

• Understanding of CI/CD, testing, observability, and DataOps principles

• Knowledge of data governance, security, and privacy considerations

Soft Skills

• Strong communication and stakeholder management skills

• Able to explain technical concepts to both technical and non-technical audiences

• Comfortable working in fast-paced consulting environments

• Collaborative, proactive, and delivery-focused

• Passionate about mentoring others and driving engineering best practices

Nice to Have

• Financial Services or Banking industry experience

• Experience working on enterprise-scale transformation programmes

• Exposure to modern data architecture and platform migrations

Why This Role?

• High-impact enterprise transformation projects

• Strong focus on modern Data & AI technologies

• Opportunity to stay highly technical and hands-on

• Collaborative consulting environment

• Fast-moving, highly technical delivery teams

• Clear career growth opportunities within a scaling consultancy

Please note: Visa sponsorship is not available for this role, either now or in the future.

If you enjoy solving complex data challenges, working directly with clients, and building scalable modern data platforms with Databricks, we’d love to hear from you.

Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs