Business Data Engineer at Telesat

Ottawa, Ontario, Canada

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

N/AIndustries

Requirements

2–5 years in a Data Engineering or Business Data Analysis role
Strong hands-on experience with Databricks (including Delta Lake, Spark SQL, and Notebooks)
Strong working knowledge of Power BI (data modeling, DAX, dashboard design, publishing)
Advanced SQL skills for large-scale data transformation and optimization
Proficiency in Python and/or Scala for data processing in Databricks
Proven experience with Fivetran or similar ETL/ELT tools for automated data ingestion
Experience integrating data from Business Applications like Workday and Salesforce (via APIs, reports, or connectors)
Ability to manage and transform data from on-premises and cloud systems
Strong communication skills with experience in business requirement gathering and data storytelling
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, or a related field
Relevant certifications (e.g., Databricks Certified Data Engineer, Microsoft Power BI Data Analyst, Workday Reporting Specialist) are a plus
Preferred: Fundamental knowledge of Apache Spark (architecture, RDDs, DataFrames, optimization)
Preferred: Experience in query and compute cost optimization within Databricks or similar platforms
Preferred: Familiarity with data governance, security, and metadata management
Preferred: Exposure to CI/CD for data pipelines using Git or DevOps tools
Preferred: GenAI Agents and/or ML experience
Ability to work in Canada and obtain clearance under the Canadian Controlled Goods program (CGP)

Responsibilities

Design, develop, and maintain data pipelines and workflows for ingestion, transformation, and delivery of clean, reliable business data for analysis and reporting
Collaborate with business teams to gather requirements, perform data validation, and support UAT/demos
Extract, integrate, and transform data from diverse systems — including Workday, Salesforce, on-prem and SaaS applications — using APIs, JDBC/ODBC, and native/direct connections
Write and optimize advanced SQL for data modeling, transformation, and cost-efficient query execution
Build and optimize Power BI datasets, models, and dashboards for business insights and performance tracking
Use Databricks Notebooks with Python and/or Scala for data preparation, automation, and analysis
Monitor and optimize compute resources and job performance for cost control and efficiency
Document data pipelines, transformation logic, and architecture for transparency and maintainability

Skills

Key technologies and capabilities for this role

DatabricksPower BISQLFivetranPythonWorkdaySalesforceDelta LakeSpark SQLDAXAPIsJDBCODBC

Questions & Answers

Common questions about this position

What experience level is required for the Business Data Engineer role?

The role requires 2–5 years of experience in a Data Engineering or Business Data Analysis role.

Is this a remote position or hybrid?

This is a hybrid role.

What are the key technical skills needed for this position?

Key skills include hands-on experience with Databricks (Delta Lake, Spark SQL, Notebooks), Power BI (data modeling, DAX, dashboards), advanced SQL, Python/Scala, Fivetran, and data integration from Workday, Salesforce, on-prem, and cloud systems.

What is the employment type and does it include benefits?

This is a full-time hire (FTE) position with benefits.

What makes a strong candidate for this Business Data Engineer role?

A strong candidate has 2–5 years of relevant experience, hands-on expertise in Databricks, Power BI, advanced SQL, Python/Scala, Fivetran, and integrations with Workday/Salesforce, plus strong communication skills for stakeholder collaboration; certifications like Databricks Certified Data Engineer are a plus.

Telesat

Global satellite operator providing connectivity solutions

About Telesat

Telesat operates in the satellite communications industry, providing connectivity solutions to various sectors including government, telecommunications, and enterprises. The company utilizes both geostationary (GEO) and low Earth orbit (LEO) satellites to ensure reliable global communications. Telesat's products include satellite capacity and consulting services, which are offered through long-term contracts and service agreements. A key feature of Telesat is its Lightspeed network, which uses advanced LEO satellites to deliver high-speed, low-latency connectivity. This focus on diverse applications, such as inflight connectivity and maritime services, sets Telesat apart from its competitors, as it addresses complex communication challenges across multiple industries.

Ottawa, CanadaHeadquarters

1969Year Founded

$30.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Consulting, AerospaceIndustries

501-1,000Employees

Benefits

Remote Work Options

Hybrid Work Options

Risks

Competition from SpaceX's Starlink could impact Telesat's market share.

Delays in Lightspeed's launch could lead to financial penalties or contract losses.

Reliance on government funding exposes Telesat to political and economic risks.

Differentiation

Telesat leverages both GEO and LEO satellites for comprehensive global communications.

The Lightspeed network offers high-speed, low-latency connectivity solutions.

Telesat serves diverse sectors, including maritime, aviation, and oil and gas.

Upsides

Growing demand for satellite internet boosts Telesat's Lightspeed project prospects.

Hybrid satellite-terrestrial networks offer Telesat integration opportunities for enhanced connectivity.

5G integration with satellite networks creates new business opportunities for Telesat.

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