Top Data Jobs in Calgary

As a Staff Data Scientist in Marketing Data Science, you will lead R&D on data science products, collaborate with engineering and product teams, provide technical support to stakeholders, and educate others on data science applications in marketing and advertising.

As a Data Engineer, you will create and manage data pipelines, collaborate with data scientists, and ensure data quality for ML operations. Your role includes transforming data, providing insights, and documenting model validation, while employing best practices in data management and engineering.

The Senior Campaign Data Analyst will be responsible for Campaign Analytics supporting all Wealth businesses, including improving efficiency, generating revenue, and providing actionable insights to senior leadership. Key responsibilities include working on the Wealth Leads optimization project, automating processes, creating reporting infrastructure, and managing campaign performance measurement.

The Senior Data Engineer is responsible for ingesting, cleansing, transforming, and loading large datasets into cloud infrastructure. This role involves designing complex data systems, maintaining data standards, and automating processes while ensuring the reliability and stability of these systems. Additional responsibilities include documentation, vendor coordination, and providing consultative support to business needs.

The Senior Data Architect will work with cross-functional teams to define data requirements, technology stacks, and develop data architecture. Key responsibilities include establishing best practices, providing architecture governance, designing data solutions, and ensuring alignment with business needs and security requirements. The role involves hands-on development and strong client interaction.

The Senior Data Analyst will facilitate strategic growth by analyzing marketing campaign performance, improving KPIs, and collaborating with leaders across functions. The role involves tracking ROI, conducting data deep dives, and optimizing marketing processes to enhance operational efficiency and inform investment decisions.

Exadel is seeking a highly experienced Senior AWS Developer to design and implement complex Data applications using AWS services, Spring framework, Apache Camel, Kafka, and SQL. Responsibilities include developing Java-based applications, real-time data processing, data transformation logic, and staying updated with industry trends.

The ML Data Engineer will develop and maintain feature engineering pipelines using Databricks, manage ETL processes, and ensure optimized data quality and performance. Responsibilities include supporting the ML lifecycle, designing low-latency data pipelines, and collaborating with teams to align data transformation efforts with business needs.