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Mom | Principal Consultant, Cyber Security & Data (Lover of Cats & Neurospicy )
The Opportunity
We’re looking for a versatile Data Engineer / Data Architect to join project teams tackling meaningful business and societal challenges across diverse sectors. In this role, you’ll work alongside a highly capable team that blends deep technical knowledge with strategic thinking across data, analytics, and AI.
This is a great opportunity to grow as a well-rounded data professional, learning from colleagues with broad expertise in areas such as artificial intelligence, cloud-native technologies, modern data platforms, and machine learning — while also gaining exposure to the business side, including finance, strategy, and transformation.
What You’ll Be Doing
* Designing and building impactful data solutions that address real-world problems
* Creating data models that are practical, scalable, and aligned to business needs
* Exploring complex scenarios and developing multiple solution pathways
* Setting up and managing cloud-based data infrastructure
* Integrating data from varied systems and sources
* Developing and maintaining production-ready data pipelines
* Crafting scalable data architectures for enterprise environments
* Participating in client-facing sessions, including executive workshops
* Contributing to documentation and project requirements
* Supporting continuous improvement within the data practice
About You
You're curious by nature and comfortable with ambiguity. You enjoy solving complex data and business challenges — especially those that don’t have a single "right" answer. You can code, model, and build, but you also think critically about the why behind the work and how it brings value.
You strike a balance between technical strength and business awareness — understanding that simplicity often delivers greater impact than complexity.
What You Bring
* A relevant qualification or equivalent practical experience
* Hands-on experience in both data engineering and architecture (breadth is highly valued)
* Deep data modelling skills — from conceptual to physical models
* Proficiency in Python and/or SQL
* Experience designing and deploying secure, cloud-based data platforms (e.g., Snowflake, Fabric, Databricks, etc.)
* Familiarity with data transformation and orchestration tools like DBT, Airflow, or Azure Data Factory
* Ability to unify and transform messy or inconsistent data into useful, production-grade pipelines
* Strong understanding of current and future-state data architecture design
* Awareness of key principles around data security, observability, and cloud networking
* A proactive, collaborative approach — whether working solo or as part of a team
* Prior experience in a consulting setting is a bonus, but not essential
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
IT Services and IT Consulting
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