Data, Analytics & Cloud Engineering Consultant

Final date to receive applications: 30 October 2026

Department: Capability Leadership

Employment Type: Full Time

Location: Chicago

Compensation: $95,000 - $115,000 / year

Kenway Consulting is currently looking for a Data, Analytics & Cloud Engineering Consultant. Above all, this is a consulting role: our consultants are trusted advisors who take the time to understand each client’s business, build strong working relationships, and help solve their critical technology and business problems. Data, analytics, and cloud engineering are the disciplines through which this Consultant will deliver that value — building solutions on modern cloud data platforms and, just as importantly, analyzing the data itself to investigate root causes and interpret what the business is seeing.

The Consultant should have a passion for helping clients make better decisions with data, along with the communication skills and professionalism to represent Kenway well. This is an early-career role, and the Consultant will work closely with a collaborative team of senior engineers and architects who will support their growth into a well-rounded, client-facing advisor. They should enjoy working with a collaborative team and for clients of varying sizes and industries, and be eager to take ownership of their work.

• Entrepreneurship: Passion to fuel growth by helping clients, peers, the organization, and yourself, with a continuous hunger to learn.
• Tenacity: Ability to drive through ambiguity.
• Professional Presence: Clear, concise, and articulate when using written and verbal channels.
• Communication: Adept at communicating quickly and effectively, whether the message is good or bad.
• Aptitude: You climb steep learning curves quickly.
• Integrity: Comfortable doing what is right for the project even when doing so may not be the most favorable path forward.
• Growth Mindset: Proactively develop core skills independently and with the help of others.

• Build and maintain scalable, performant, and cost-effective data pipelines, notebooks, and data products (including Power BI reports) on modern cloud data platforms, under the direction of senior engineers and architects
• Analyze data to investigate problems, identify root causes, and interpret what the business is seeing — then communicate those findings clearly
• Write clean, well-structured Python and SQL to move, model, transform, and analyze data
• Apply software-delivery discipline to data assets — version control, testing, and CI/CD-based deployment across environments
• Take ownership of defined technical tasks and deliver them with increasing independence
• Support the proposals, demos, and collateral leveraged in business development pursuits

• Qualification(s) in data analytics, information management, computer science, or equivalent practical experience
• 1–3 years of experience (including internships / co-ops) building, implementing, and maintaining data solutions on Modern Data Platforms, inclusive of the following:
• Cloud architecture and engineering, with a focus on Microsoft Azure
  — a working understanding of core Azure data services (e.g., storage, compute, Synapse, One Lake) and how they combine to support a data platform, plus hands‑on exposure to cloud engineering practices such as provisioning and configuring resources, managing access and secrets (RBAC, managed identities, Key Vault), and building with cost and security in mind
• Hands‑on exposure to modern data platforms, specifically Databricks and/or Microsoft Fabric
  — building and running data pipelines and developing in notebooks
• Proficiency in Python and SQL
  , with a demonstrated ability to…