Data Infrastructure Developer at Bgc Engineering Inc. in Vancouver, British Columbia, Canada | CAD105,000-145,000 | Kablio

Role

Description

etl pipelines

data modeling

warehouse design

streaming pipelines

quality checks

api integration

Implement ELT/ETL workflows using modern orchestration and transformation tools, integrating with cloud-native services and serverless components where appropriate.
Define and maintain curated, analytics-ready data models that support risk quantification, change detection, and reporting.
Develop and evolve our data warehouse & data lake schemas for time-series, geospatial, and document/photo data, ensuring performance and traceability.
Design, build, and maintain batch and streaming pipelines to ingest instrumentation, remote sensing, inspections, weather, environmental, and geotechnical data into our Azure-hosted platform.
Contribute to data documentation, catalogs, and internal standards for geospatial and earth science data.
Build and monitor data quality checks, validation rules, and anomaly detection for time-series and spatial datasets.
Partner with backend and AI teams to expose data products via APIs, feature stores, and internal tools.

Requirements

sql

azure

python

postgis

bachelor's

3+ years

Strong SQL skills and experience with at least one major cloud-scale data warehouse or data lake (e.g., Azure-native warehouses or similar).
Familiarity with time-series and/or geospatial data (e.g., sensor data, lidar, InSAR, GIS layers) and associated storage and indexing patterns.
Bachelor’s Degree in Computer Science, Information Systems, Software Engineering, or a related discipline, or equivalent experience.
3+ years of experience in data working on production systems.
Strong analytical thinking, attention to detail, and a collaborative mindset.
Comfortable collaborating with cross-functional teams (developers, geoscientists, product) and explaining data trade-offs to non-specialists.
Hands-on experience with ML/AI data preparation and feature engineering for risk modeling or anomaly detection.
Experience working in a cloud-native environment (Azure preferred) with serverless or distributed architectures.
Experience with geospatial data stacks (e.g., PostGIS, raster processing, tile services) or scientific computing environments.
Experience with data pipeline orchestration and CI/CD practices.
Proficiency in Python for data processing, pipelines, and tooling.
Background in infrastructure, climate, geotechnical, or environmental domains.

Benefits

Hybrid workplace with our downtown office
Mentoring opportunities
Casual and professional work environment
Social and wellness activities

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1990

Year Founded

The company was established as a geotechnical consultancy in Vancouver.

US$750M

Annual Revenues

The company's annual revenues have grown to nearly US$750 million, reflecting its global expansion and success.

Over the years, it has tackled major projects—from tailings dam risk systems in mining to railway landslide remediation.
Specializing in geotechnical engineering, hydrogeology, environmental science, geoscience, and bespoke software tools.
Its global footprint spans offices across North & South America, the Caribbean and Australia, tackling complex earth-science challenges.
Recognition includes awards for innovative dam-safety platforms and AI-powered rock-fall prediction tools.
Notably, it engineers proactive risk management systems for railways, designing tunnels, slopes, foundations, and retaining walls.

Culture + Values

Engage responsibility for positive impact on communities and environments
Integrate ESG mission into everyday operations, corporate culture and global strategy
Reward and recognize sustainability innovations internally
Promote safety through regular H₂S Alive and hazardous-environment training

Environment + Sustainability

40% reduction

Embodied Carbon Reduction

Structural designs achieve up to a 40% reduction in embodied carbon compared to standard concrete frames.

Committed to understanding and reducing Scope 1, 2, and 3 carbon emissions
Internal initiatives include renewable-energy electricity contracts, paperless offices, LED lighting, recycling, and reusable keep-cups
Project-based actions include early-stage carbon calculations, embodied-carbon assessments, sustainable material selection, water-sensitive, and adaptive design
Partner with Infrastructure Sustainability Council—earned Silver (EastLink WA) and Excellent (Smithfield Bypass) ratings
Collaborate via SmartCrete CRC on low-carbon concrete innovations
Net-zero target: Carbon-neutrality ambition integrated; first all-electric net-zero building delivered; aim for full net-zero by 2050

Inclusion & Diversity

3.8/5 Rating

Diversity Inclusion Score

The company has received a rating of 3.8 out of 5 for equality, diversity, and inclusion as reported on Glassdoor.

No detailed public disclosures on gender ratios or specific DEI metrics available

Articles

About Us

Careers

Role

Description

etl pipelines

data modeling

warehouse design

streaming pipelines

quality checks

api integration

Implement ELT/ETL workflows using modern orchestration and transformation tools, integrating with cloud-native services and serverless components where appropriate.
Define and maintain curated, analytics-ready data models that support risk quantification, change detection, and reporting.
Develop and evolve our data warehouse & data lake schemas for time-series, geospatial, and document/photo data, ensuring performance and traceability.
Design, build, and maintain batch and streaming pipelines to ingest instrumentation, remote sensing, inspections, weather, environmental, and geotechnical data into our Azure-hosted platform.
Contribute to data documentation, catalogs, and internal standards for geospatial and earth science data.
Build and monitor data quality checks, validation rules, and anomaly detection for time-series and spatial datasets.
Partner with backend and AI teams to expose data products via APIs, feature stores, and internal tools.

Requirements

sql

azure

python

postgis

bachelor's

3+ years

Strong SQL skills and experience with at least one major cloud-scale data warehouse or data lake (e.g., Azure-native warehouses or similar).
Familiarity with time-series and/or geospatial data (e.g., sensor data, lidar, InSAR, GIS layers) and associated storage and indexing patterns.
Bachelor’s Degree in Computer Science, Information Systems, Software Engineering, or a related discipline, or equivalent experience.
3+ years of experience in data working on production systems.
Strong analytical thinking, attention to detail, and a collaborative mindset.
Comfortable collaborating with cross-functional teams (developers, geoscientists, product) and explaining data trade-offs to non-specialists.
Hands-on experience with ML/AI data preparation and feature engineering for risk modeling or anomaly detection.
Experience working in a cloud-native environment (Azure preferred) with serverless or distributed architectures.
Experience with geospatial data stacks (e.g., PostGIS, raster processing, tile services) or scientific computing environments.
Experience with data pipeline orchestration and CI/CD practices.
Proficiency in Python for data processing, pipelines, and tooling.
Background in infrastructure, climate, geotechnical, or environmental domains.

Benefits

Hybrid workplace with our downtown office
Mentoring opportunities
Casual and professional work environment
Social and wellness activities

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1990

Year Founded

The company was established as a geotechnical consultancy in Vancouver.

US$750M

Annual Revenues

The company's annual revenues have grown to nearly US$750 million, reflecting its global expansion and success.

Over the years, it has tackled major projects—from tailings dam risk systems in mining to railway landslide remediation.
Specializing in geotechnical engineering, hydrogeology, environmental science, geoscience, and bespoke software tools.
Its global footprint spans offices across North & South America, the Caribbean and Australia, tackling complex earth-science challenges.
Recognition includes awards for innovative dam-safety platforms and AI-powered rock-fall prediction tools.
Notably, it engineers proactive risk management systems for railways, designing tunnels, slopes, foundations, and retaining walls.

Culture + Values

Engage responsibility for positive impact on communities and environments
Integrate ESG mission into everyday operations, corporate culture and global strategy
Reward and recognize sustainability innovations internally
Promote safety through regular H₂S Alive and hazardous-environment training

Environment + Sustainability

40% reduction

Embodied Carbon Reduction

Structural designs achieve up to a 40% reduction in embodied carbon compared to standard concrete frames.

Committed to understanding and reducing Scope 1, 2, and 3 carbon emissions
Internal initiatives include renewable-energy electricity contracts, paperless offices, LED lighting, recycling, and reusable keep-cups
Project-based actions include early-stage carbon calculations, embodied-carbon assessments, sustainable material selection, water-sensitive, and adaptive design
Partner with Infrastructure Sustainability Council—earned Silver (EastLink WA) and Excellent (Smithfield Bypass) ratings
Collaborate via SmartCrete CRC on low-carbon concrete innovations
Net-zero target: Carbon-neutrality ambition integrated; first all-electric net-zero building delivered; aim for full net-zero by 2050

Inclusion & Diversity

3.8/5 Rating

Diversity Inclusion Score

The company has received a rating of 3.8 out of 5 for equality, diversity, and inclusion as reported on Glassdoor.

No detailed public disclosures on gender ratios or specific DEI metrics available

Articles

About Us

Careers