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.
Core Traits We Are Seeking
- 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.
Responsibilities
- 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
Qualifications & Credentials
- 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, OneLake) 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 perform real analysis — not just query data — including SQL performance and tuning fundamentals
- Analytical problem-solving — the ability to explore data, investigate anomalies, reason from symptoms to root cause, and translate findings into a clear explanation of what the business is seeing
- Exposure to AI in the modern data and analytics stack — familiarity with how AI is reshaping data work, such as AI-assisted and conversational analytics (e.g., Databricks Genie, Microsoft Fabric Copilot / Data Agents), applying large language models to data problems, and using AI coding assistants to work more effectively, with the curiosity to keep pace as these tools evolve
- An understanding of how CI/CD and DevOps should work in the data space, including:
- Git-based version control of pipelines, notebooks, and data models
- Promoting code across development, test, and production environments
- Automated testing, logging, and alerting for data pipelines
- Familiarity with relevant tooling (e.g., Azure DevOps, GitHub Actions, dbt, Databricks Asset Bundles / Repos, or Fabric deployment pipelines)
- Working knowledge of ELT/ETL approaches, including batch and, ideally, real-time or event-driven processing
- Familiarity with Data Lake, Data Lakehouse, and Data Warehouse concepts
- Familiarity with data modeling and data transformation (e.g., dbt)
- Exposure to Agile ways of working and delivery tooling such as JIRA or Azure DevOps Boards
- Business acumen — able to connect technical work to the business problem it solves, and to take ownership of defined work and deliver value with limited oversight
What our Company looks like
What we offer our Employees:
Kenway offers the ability to chart your individual career path based on your expertise and passions. An environment that encourages you to identify new opportunities and the support to make it happen. An atmosphere that promotes a balanced lifestyle by working with local (Chicagoland) and national clients in a flexible consulting model. The opportunity to build and be part of a fun and collaborative team. A competitive compensation package and exceptional benefits.
About
Kenway Consulting is a management and technology consulting firm whose entire reason for existence is to help companies and its employees. Founded in 2004 on the principles of being good and being truthful, Kenway’s set of Guiding Principles steers each employee’s decision-making process and centers on integrity, quality, value and respect. The company focuses on the means and not the outcomes, always in line with these Guiding Principles, and always with integrity as its cornerstone. Kenway strives to provide all clients with unmatched quality and service, and specializes in customized business solutions using its Application Development, Artificial Intelligence, Contact Center Solutions, Data and Analytics, Data Compliance and Privacy, Program and Product Management, and Salesforce practices.
Skills Required
- Qualification in data analytics, information management, computer science, or equivalent practical experience
- 1–3 years of experience, including internships or co-ops, building and maintaining data solutions on modern data platforms
- Working knowledge of Microsoft Azure data services and cloud engineering practices, including access, secrets, security, and cost management
- Hands-on exposure to Databricks and/or Microsoft Fabric, including data pipelines and notebooks
- Proficiency in Python and SQL, including data analysis and SQL performance fundamentals
- Analytical problem-solving skills, including anomaly investigation, root-cause analysis, and communicating findings
- Exposure to AI in modern data and analytics, including AI-assisted analytics, large language models, or AI coding assistants
- Understanding of CI/CD and DevOps for data, including Git, environment promotion, automated testing, logging, and alerting
- Familiarity with ELT/ETL approaches
- Familiarity with Data Lake, Data Lakehouse, and Data Warehouse concepts
- Familiarity with data modeling and transformation tools such as dbt
- Exposure to Agile delivery methods and tools such as JIRA or Azure DevOps Boards
- Business acumen and ability to connect technical work to business problems
- Experience with real-time or event-driven processing
What We Do
Kenway Consulting, a management and technology consulting company, was founded in June of 2004 on the principles of being good and being truthful. At Kenway, we prefer to start with explaining Why we exist prior to explaining what we do. Kenway’s Why is “To help and to be helped.” Just as our vision statement says - ‘to transform business by doing what is right - we are focused on helping businesses achieve their objectives through the enablement/enhancement of process and technology. We do this by providing clients the right skills at the right time in the right volume for the right duration, resulting in the best possible solution for the lowest cost. At our core, we want to help people. For both clients and Kenway colleagues, it’s about identifying when help is needed, offering it, being willing to provide it, and accepting it without judgement. This is why we exist. This is why our employees work at Kenway. And this is why we do the work we do for our clients and for ourselves. To help and be helped. This is our Why.
Why Work With Us
We offer careers for consulting professionals across all industries. Kenway consultants provide leadership by successfully delivering our capabilities, allowing our clients to focus on their core business objectives. You will be collaborating with talented colleagues to deliver business results to top clients while developing your career.
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