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.
Requirements
- 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 — we’re 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