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What do you think of when you hear the name MNP? Most likely tax and accounting, but as one of Canada’s largest consulting organizations, we’re so much more! We’re also serious about technology. Make an impact with MNP…
Builds the core conversational analytics platform for education, designing full-stack features that let non-technical users query data with natural language and AI-driven text-to-SQL.
Build and own Shiftbase’s BigQuery + Dataform warehouse from scratch, designing layered architectures and ELT pipelines that feed clean, governed HR data to teams and AI initiatives.
Builds and optimizes cloud data warehouses on GCP, migrating Teradata workloads to BigQuery and writing ETL scripts with BTEQ/TPT.
Build and maintain data platforms, pipelines, and ML infrastructure for an asset-management firm, using cloud tools like GCP/AWS and BI platforms such as Power BI or Tableau.
Build and deploy ML models and LLM-based apps for beauty ecommerce, including recommendation engines and NLP, using PyTorch, FastAPI, and GCP VertexAI.
Build and maintain Feedzai’s data orchestration platform, integrating diverse data sources and enabling real-time fraud detection for banks and retailers using Java, Kafka, and cloud-native services.
Lead a team to design and build Microsoft BI solutions (ETL, SSAS Tabular, Power BI) for banking domains, optimizing SQL Server performance and mentoring engineers.
Build and scale the data platform powering Unravel Carbon’s AI-driven decarbonization engine, converting client data into supply-chain carbon footprints and automating regulatory reports.
Build and own the next-generation data platform for a fast-growing startup, integrating MongoDB, Google Analytics, CRM, and financial systems to deliver reliable, actionable insights across teams.
Senior Data Engineer builds and maintains scalable pipelines and cloud data platforms (Spark, Kafka, Snowflake/BigQuery/Databricks) to power AI and analytics for a regional logistics group.
Lead a cloud-based data engineering team to build and maintain robust data pipelines, migrate legacy systems to Snowflake and AWS Glue, and ensure high-quality data flows for analytics and reporting.
Embed with enterprise clients to deploy and optimize data pipelines and AI workflows using BigQuery, Dataproc, Dataflow, and Dataform/dbt.
Lead a small team to design, build, and scale data pipelines and platforms using Python, SQL, and cloud tools, ensuring reliable data for analytics and ML products.
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, consolidating datasets and preparing data for AI-powered tools like LLMs.
Build and own a new HR data warehouse, then transition into analytics to help HR teams make data-driven workforce decisions using SQL, Python, and cloud pipelines.
Builds and optimizes cloud data pipelines for AI workloads, using BigQuery, Dataform/dbt, and streaming systems to enable scalable, high-integrity data flows for GenAI applications.
Build and maintain scalable data pipelines and BI dashboards for a fintech company, using big data tech like Spark and cloud platforms such as GCP.
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
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