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Added 11 mins ago
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Full-time
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Senior Analytics Engineer – Data Modeling
SPECTRAFORCE
Toronto, ON · Greater Toronto Area, Canada
Contract
Senior Analytics Engineer – Data Modeling (Databricks), Capital Markets
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SPECTRAFORCE

Senior Analytics Engineer – Data Modeling

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Job type: Contract
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

Senior Analytics Engineer – Data Modeling (Databricks), Capital Markets

Duration: 12 Months (Possible extension)

Location: Toronto - Hybrid- 1 day onsite

Start Date: Oct 5th

Interview Process: Codility test- 2 rounds (final in person)

Senior Analytics Engineer – Data Modeling (Databricks), Capital Markets

About the Role

We're looking for a Senior Analytics Engineer to own data design and modeling for Capital Markets business domains. This role combines senior data engineering and data modeling:

You'll partner directly with business teams and deliver trusted, well-modeled data solutions on Databricks. The role is focused on modeling and business solutions rather than platform or pipeline infrastructure, and it works as a peer to the team's data engineers.

Key Responsibilities

Business Partnership & Ownership

Act as the data design and modeling SME for an assigned business domain.
Partner with business stakeholders to understand goals, gather requirements, and translate them into scalable data solutions.
Own solution design end to end, from requirements to production, using reusable, cost-efficient patterns.

Data Design & Modeling

Design conceptual, logical, and physical data models (dimensional, slowly changing, historical/as-of) across medallion layers.
Build the transformations that implement these models, with data quality and validation built in.
Define data standards, business definitions, and documentation for the domain's data products.

Data Products & Analytics Enablement

Deliver curated, analysis-ready datasets and semantic layers for reporting, self-service analytics, and ML.
Resolve complex data questions for business users, and turn recurring ad hoc requests into scalable solutions.
Share knowledge and help raise modeling standards across the team.

Required Skills & Experience

Degree in Computer Science, Engineering, Mathematics, Finance, or a related field
6+ years in data engineering, analytics engineering, data modeling, or BI, with a strong focus on data modeling
2+ years hands-on with Databricks (Delta Lake, Unity Catalog, Databricks SQL)
Expert SQL and strong dimensional modeling skills (star schemas, SCDs)
Proficient in Python/PySpark
Proven experience working directly with business stakeholders to gather requirements and deliver solutions

Nice to Have

Capital Markets or financial services experience (trades, positions, risk, P&L, reference data)
Reporting and visualization (Power BI, Plotly, Databricks AI/BI Dashboards)
Semantic layers and AI-powered BI (Unity Catalog Metric Views, Databricks Genie)
Large-scale data migration experience
Databricks Certified Data Engineer (Associate or Professional)

Apply About employer

More about this job

Responsibilities

Own data design and modeling for an assigned Capital Markets domain, partnering with business stakeholders to translate requirements into scalable, production-ready solutions. Build and document modeled data products, transformations, and semantic layers that support reporting, self-service analytics, and machine learning.

Requirements

Requires a degree in Computer Science, Engineering, Mathematics, Finance, or a related field, plus at least six years of relevant experience focused on data modeling. Candidates need at least two years of hands-on Databricks experience, expert SQL and dimensional modeling skills, Python/PySpark proficiency, and experience delivering solutions with business stakeholders.

Skills

Databricks
Data Modeling
SQL
Python
PySpark
Dimensional Modeling
Delta Lake
Unity Catalog
Databricks SQL
Data Engineering
Data Quality
Business Requirements Gathering
Semantic Layers
Capital Markets
Slowly Changing Dimensions
Data Migration

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Lake
Unity Catalog
Databricks SQL
Databricks AI/BI Dashboards
Databricks Genie
Unity Catalog Metric Views
SQL
Python
PySpark
Data Modeling
Dimensional Modeling
Star Schemas
Slowly Changing Dimensions
Historical and As-Of Modeling
Medallion Architecture
Data Engineering
Analytics Engineering
Business Intelligence
Data Quality
Semantic Layers
Self-Service Analytics
Machine Learning
Capital Markets
Trades
Positions
Risk
Profit and Loss
Reference Data
Power BI

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