Consultant - Data Engineer

We’re looking for a Data Consultant with solid experience in Microsoft Fabric to design, build, and optimise data solutions across modern cloud environments. You’ll work hands-on with Fabric’s Data Factory and Lakehouse components to create seamless data flows that empower analytics and AI at scale.

This role is ideal for someone who thrives on problem-solving, enjoys working across the full data lifecycle, and wants to make a measurable impact through clean, well-designed data architecture.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Microsoft Fabric (Data Factory, Dataflow Gen2, Lakehouse).

• Develop robust data models to support downstream analytics and self-service reporting.

• Ingest, transform, and integrate structured and unstructured data from multiple sources.

• Optimise data performance and reliability through monitoring, testing, and automation.

• Collaborate closely with data analysts, architects, and clients to understand business requirements and deliver effective data solutions.

• Contribute to standards and frameworks that promote best practices in data engineering, version control, and documentation.

• Support the adoption of Fabric and modern data engineering practices within client teams.

What You’ll Bring

• Curiosity and a problem-solving mindset. You enjoy understanding how things work and making them better.

• A commitment to clean, scalable engineering practices and continuous learning.

• A collaborative spirit. You enjoy working across teams to deliver real outcomes.The confidence to share ideas, challenge the norm, and help build something better.

• 4–6 years’ experience in data engineering or data platform development.

• Hands-on experience with Microsoft Fabric, including pipeline orchestration, data modelling, and workspace management.

• Strong proficiency in SQL and experience with Python or PySpark for data transformation.

• Experience with Azure data services (Data Lake, Data Factory) or other modern cloud platforms (Snowflake, AWS, GCP).

• Understanding of data modelling concepts, ELT/ETL patterns, and performance optimisation.

• Familiarity with modern tooling such as dbt, Git, and CI/CD pipelines.

• Excellent communication and collaboration skills — able to work confidently with both technical and business stakeholders.

We’re not just delivering AI and data projects, we’re humanising them. That means we care deeply about the how, not just the what. We value curiosity, creativity, and a willingness to challenge the status quo. We look for people who are driven to build a business, get curious, and offer up their opinions and ideas.

You’ll work with a team that’s smart, kind, and ambitious. You’ll have real influence in your projects, your practice, and our business. And as we grow, so will you.

We’re building teams that are technically excellent, commercially focused, and client-first. Consultants who are curious, collaborative, and eager to grow.