Senior Data Engineer

Ledcor Group; Vancouver; Hybrid; CAD 94,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Ledcor Group is hiring a Senior Data Engineer to join the Data & Analytics Platform team. You will design, build, and maintain enterprise-scale data solutions supporting reporting, analytics, and operational intelligence across Ledcor's construction and infrastructure businesses.

You will work across the full data lifecycle from ingestion to governance. The role requires strong Python, PySpark, and SQL skills, experience with Databricks and cloud platforms, and a solid background in data

Qualifications

• Bachelor's degree in related field.
• 6+ years of data engineering experience.
• 5+ years in conceptual, logical and physical data modeling.
• Experience with Inmon, Kimball, and Data Vault methodologies.
• Proficient in Python, PySpark, SQL for large-scale data transformations.
• Hands-on with Databricks, Snowflake, BigQuery, or Synapse.
• Experience with CI/CD and infrastructure-as-code concepts.
• Databricks Data Engineer or Azure Data Engineer certification is an asset.

Responsibilities

• Design, build, and maintain enterprise-scale data pipelines.
• Develop metadata-driven ingestion processes and code generation.
• Support data governance, data quality, and validation testing.
• Create conceptual, logical, and physical data models using industry standards.
• Build normalized structures and dimensional analytics models.
• Contribute to enterprise modeling standards and data governance.
• Implement security policies with Unity Catalog and access controls.

Skills

Python

PySpark

SQL

Data modeling

Cloud data platforms

CI/CD

IaC

Unity Catalog

Data Vault 2.0

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

BigQuery

Synapse

Job description

Description

Ledcor is hiring a Senior Data Engineer to join our Data & Analytics Platform team. In this role, you will design, build, and maintain enterprise-scale data solutions that support reporting, analytics, and operational intelligence across Ledcor's construction and infrastructure businesses. Reporting to the Senior Manager, Data & Analytics Platform, you will work across the full data lifecycle—from source system ingestion and enterprise data modeling through to analytics delivery and governance.

Essential Responsibilities

• Design, build, and maintain production-grade data pipelines using PySpark and Databricks Spark Declarative Pipelines (SDP), including Python and SQL transformations across medallion architecture layers
• Configure and contribute to metadata-driven ingestion processes using YAML-based configurations and code generation frameworks that automate pipeline creation
• Support infrastructure-as-code deployments using Databricks Asset Bundles (DAB) and implement data quality expectations and monitoring throughout pipeline stages
• Design conceptual, logical, and physical data models using Information Engineering (crows-foot) notation, applying Inmon, Kimball, and Data Vault methodologies as appropriate
• Build and maintain normalized enterprise data structures and dimensional analytics models, including business key and surrogate key strategies, SCD patterns, and referential integrity standards
• Contribute to enterprise modeling standards, naming conventions, and data governance practices
• Implement row-level and column-level security policies using Unity Catalog; configure role-based and attribute-based access controls, data classification, and governance metadata
• Define and enforce automated data quality checks across pipelines; develop validation, regression, and reconciliation testing processes between source and target systems
• Contribute to team testing standards and deployment validation practices

Qualifications

• Bachelor's degree in Computer Science, Statistics, Information Management, or related field
• 6+ years of professional experience in data engineering, data modeling, or related disciplines
• 5+ years designing conceptual, logical, and physical data models with strong expertise in 3NF normalization and dimensional modeling
• Experience applying Inmon and Kimball methodologies; ability to design business keys, surrogate keys, and Slowly Changing Dimensions (SCD)
• Hands‑on experience building production data pipelines on modern cloud platforms such as Databricks, Snowflake, BigQuery, or Synapse
• Strong proficiency in Python, PySpark, and SQL for large-scale data transformation
• Experience with medallion or multi-layered data architectures, streaming ingestion, change data capture (CDC), and incremental load strategies
• Familiarity with CI/CD practices, automated deployment pipelines, and infrastructure-as-code concepts
• Strong written and verbal communication skills; ability to convey technical concepts to non-technical stakeholders
• Databricks Data Engineer or Microsoft Azure Data Engineer certification is an asset
• Experience with Unity Catalog, Data Vault 2.0, metadata-driven pipeline frameworks, or AI-assisted development tools is an asset

Work Environment

• Hybrid work model – home and office based
• Travel required on occasion

Compensation

$94,400.00 - $129,800.00

This is the expected base pay range for this role. Individual base pay will be determined based on a variety of factors including experience, knowledge, skills, education and location.

Our competitive total rewards package provides compensation and benefits that support your physical, mental and financial wellbeing. We offer exciting, challenging work with opportunities to develop your skills and knowledge.

Additional Information

The Ledcor Group of Companies is one of North America’s most diversified construction companies. Ledcor is a company built on a rich history of long-standing project successes.

Employment Equity

At Ledcor we believe diversity, equity, and inclusion should be part of everything we do. We are proud to be an equal-opportunity employer. All qualified individuals, regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status or any other identifying characteristic are encouraged to apply.

Our True Blue team consists of individuals from all backgrounds who contribute diverse perspectives and experiences to Ledcor. We are committed to continuing to build on our culture of empowerment, inclusion and belonging.

Adjustments will be provided in all parts of our hiring process. Applicants need to make their needs known in advance by submitting a request via email. For more information about Ledcor’s Inclusion and Diversity initiatives, please visit our I&D page.

1055 West Hastings St, Vancouver, BC