Top Data Jobs in Ottawa

The Business Data Engineer will design and maintain data pipelines, collaborate with business teams for analytics, and optimize data processing using Databricks and Power BI.

The Senior Data Analyst will conduct complex data analyses, build executive dashboards, mentor junior analysts, and collaborate with various departments to drive insights and decision-making.

The Director of Business Development will drive business opportunities for Vantage in the AI infrastructure ecosystem, managing relationships, and accelerating leasing velocity.

As a Senior Data Engineer, you'll maintain data integrations, resolve technical issues, communicate with stakeholders, and improve support processes.

The Business Data Analyst will improve data quality in Commercial Banking by validating metadata, mapping data lineage, creating data rules, and providing business solutions.

Lead and grow a global engineering team, drive technical strategy, and ensure alignment between client goals and engineering solutions in a remote setting.

As a Business Development Intern, you will support acquisition activities by validating prospect data, conducting market research, and aiding analysis for software company acquisitions.

As a Senior Data Engineer at Afresh, you'll improve how customer data is integrated and processed, designing robust ETLs and enhancing platform tools to support scalability and accuracy in handling large datasets.

Design and implement data engineering solutions, enhance self-service capabilities, automate data monitoring, ensure data quality, and contribute to architectural frameworks for performance optimization.

As a Software Engineering Manager, you will lead the Data Platform team in building scalable systems, managing projects, and overseeing the full software development lifecycle while ensuring team performance and adherence to security practices.

The Data Engineer designs and develops data solutions using Microsoft Fabric. Responsibilities include data architecture, ETL/ELT development, data quality governance, and collaboration with stakeholders.

The Data Pipeline Engineer will design distributed data processing pipelines, optimize data workflows, and collaborate with teams to develop machine learning solutions for telecommunications data.

The Data Analytics Engineer will design and implement data processing applications, support data pipelines, and collaborate on ML innovations while optimizing workflows.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The Senior Data Engineer will design and optimize data solutions using Microsoft Fabric, implementing scalable data pipelines, models, and ensuring performance tuning of data workloads.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Develop and enhance data source integrations, improve systems based on metrics and feedback, drive architectural discussions, and participate in on-call rotations to ensure reliability.

The Senior Director Analyst in Data Analytics and Governance leads research, develops insights, and advises clients on data strategy and analytics. This role involves client engagement, thought leadership, and mentoring team members to enhance strategic decision-making across organizations.

The role involves leading the design, development and implementation of software projects, mentoring developers, and driving innovation in Autodesk's AEC data services.

The role manages event registration using the Cvent platform, ensuring accurate data collection, supporting technical needs, and fostering exceptional customer service.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

As a Senior Data Acquisition R&D Engineer, you'll drive research and development for advanced web data extraction techniques and mentor team members, tackling complex problems in data processing at scale.

The FP&A Manager is responsible for leading budgeting, forecasting, and financial model development, while driving process improvements through automation and AI tools. The role involves collaborating with various teams to enhance decision-making based on data-driven insights.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

As a Senior Staff Software Engineer, you will architect data models and systems, ensuring data integrity and consistency for enterprise use, while collaborating with various teams.