What You'll Do
As a Data Solutions Consultant, your work will include:

• Collaborating with clients to understand data-related challenges and opportunities
• Supporting or leading the delivery of solutions across areas such as data integration, data governance, automation, analytics, and engineering.

Examples of typical work include:

• Connecting systems and unifying data using APIs, ETL tools, or low-code platforms;
• Creating structured documentation, data dictionaries, and quality assurance processes;
• Streamlining manual processes using automation tools like Power Automate, Python, PowerShell, or RPA software;
• Building dashboards, reports, and visual insights using Power BI, Tableau, or Databricks;
• Designing data structures and pipelines using SQL and cloud-native tools like Microsoft Fabric.

You'll also contribute to internal project delivery, knowledge sharing, and the development of reusable assets. You'll participate in training, team workshops, and continuous professional development.

If You Join as a More Experienced Consultant, Your Work May Also Include:

• Leading client engagements or workstreams;
• Managing delivery scope, timelines, and budgets;
• Acting as the main point of contact for stakeholders;
• Conducting quality assurance reviews and defining best practices;
• Mentoring and supporting the development of junior team members;
• Contributing to the growth and strategy of the Data Solutions service line;
• Leading or contributing to proposals, pitches, and business development.

Requirements

What Were Looking For
Were open to a wide range of backgrounds, but wed love to hear from you if you:

• Have experience in one or more of the following areas: Data Analysis, Integration, Automation, Engineering, or Governance;
• Are curious, self-motivated, and enjoy solving problems;
• Are comfortable working directly with clients or keen to develop your consulting skills;
• Communicate clearly and are confident working as part of a collaborative team.

Our Technical Toolkit
You don't need experience with every tool were looking for individuals who are enthusiastic about learning and developing their skills.

Example tools and technologies we use include:

• Power BI, Tableau, Databricks, Microsoft Fabric
• SQL, Azure Data Factory
• Power Automate, Python, PowerShell, UiPath
• REST APIs, Power Platform, Zapier
• Data dictionaries, metadata tools, and governance frameworks aligned with DAMA-DMBOK