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Methods is recruiting for a permanent Mid/Senior Data Engineer to join the Data and AI Capability Centre. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in…
Lead data architect designing AWS-based data architectures and pipelines for Army intelligence sources, using SQL, Python, ETL/ELT, and data warehousing to manage and organize data assets.
The Staff Analytics Engineer will design and govern a data medallion architecture to support loyalty-as-a-service business models. The role involves leading data modeling efforts using dbt, Python, and AWS Redshift to provide high-trust data products for internal and external stakeholders.
Senior Data Engineer leading data engineering delivery for data lakes, platform modernization, and reporting solutions at Manulife in Hong Kong, using Azure Cloud, Databricks/Spark, and AliCloud big data tools.
Build and maintain Power BI dashboards for supply-chain analytics, translating business needs into executive-ready reports that track S&OP, manufacturing, and logistics KPIs.
AWS Data Engineer responsible for building analytics solutions using SQL, AWS cloud data platforms (Redshift, S3, Glue), and BI tools like Tableau, with a focus on data modelling and stakeholder collaboration.
Staff Risk Analyst building and owning the data infrastructure—data dictionaries, pipelines, and data marts on AWS and BigQuery—that powers AI agents and automated risk workflows for Intuit's consumer lending and banking products.
The Principal Software Engineer will architect end-to-end data solutions, lead cloud migrations, and design scalable data pipelines using big data and GenAI technologies. This role involves mentoring junior engineers and collaborating with stakeholders to implement data-intensive applications and infrastructure.
The Lead Software Engineer will architect and lead the development of scalable data engineering infrastructure, focusing on cloud migrations, data modeling, and real-time data pipelines. The role requires extensive experience with big data technologies, cloud platforms like AWS/Azure/GCP, and leading technical teams in a product-based environment.
Build and govern a semantic layer for automotive commerce metrics, defining canonical KPIs and taxonomies used across Cars.com and Dealer Inspire platforms.
The Staff Business Intelligence Analyst will build scalable analytics models, datasets, and reporting solutions using Snowflake, dbt, and Sigma. This hands-on role supports cross-functional teams by transforming complex data into trusted, self-service analytics products.
Leads development of a government-focused Investment Data Warehouse (IDW) platform integrating AI/ML, GenBI, and agentic workflows on AWS/Snowflake, designing dashboards, optimizing pipelines, and guiding cross-functional teams.
Senior data engineer designing scalable Snowflake/dbt pipelines for SouthState Bank’s analytics, reporting, and decision-making systems. Leads enterprise data platforms, mentors engineers, and ensures compliance with financial regulations.
A Product Data Analyst who partners with product teams to analyze behavioral trends, drive data-informed strategy, and build analytics infrastructure (Snowflake/dbt) for Dialogue’s health/wellness platform.
The Senior Power BI Developer will design, build, and govern enterprise reporting products and semantic models using Power BI and Microsoft Fabric. This hybrid role involves technical leadership, stakeholder partnership, and mentoring team members to drive data-driven decision-making across the organization.
The Data Architect will design and implement large-scale cloud data solutions on Google Cloud Platform (GCP) for enterprise clients. The role involves building enterprise data models, migrating legacy systems, and collaborating with engineering teams to optimize data architecture and security.
This role involves designing and developing scalable data lakehouse architectures and complex ETL/ELT pipelines using Azure Data Factory, Databricks, and dbt. The developer will also handle database modeling, CI/CD automation, and data quality reporting in an onsite environment.
Senior ETL Developer designs, migrates, and optimizes data pipelines using Informatica PowerCenter and IDMC, Oracle 11g/19c, and cloud platforms to integrate and transform government data.
This role is for a Senior Solutions Designer and Developer to build BI solutions using Cognos, Power BI, and the Microsoft SQL stack. The consultant will work in a hybrid capacity in Toronto, translating business requirements into technical designs and leading development phases.
This senior software developer role focuses on designing and maintaining complex ETL/ELT data pipelines and Medallion Data Lakehouse architectures within an Azure environment. The position involves heavy use of Databricks, PySpark, and SQL to manage data ingestion, quality, and reporting for mission-critical systems.
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