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Data Engineer Job Consultancy in Vancouver, British Columbia, Canada

Cybotrix Technologies is a specialized Data Engineer Job Consultancy in Vancouver, British Columbia, Canada, helping companies hire high-calibre Data Engineers, Big Data Engineers, ETL Developers, Cloud Data Engineers, Analytics Engineers, and Data Platform Specialists across Vancouver, Burnaby, Richmond, Surrey, North Vancouver, and the entire Lower Mainland. We work with fintech firms, SaaS product companies, gaming studios, AI/ML startups, digital agencies, and large enterprises to build strong data engineering, data pipeline, and analytics infrastructure teams.

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Data Engineering Recruitment in Vancouver, BC

Hire or Get Hired — Specialized Data Engineer Job Consultancy Services in Vancouver, British Columbia, Canada.

Vancouver is rapidly evolving into a major technology, AI, and analytics hub in Western Canada. Organizations are investing heavily in data platforms, cloud data warehouses, real-time analytics, and ML pipelines, creating continuous demand for Data Engineers and Big Data professionals. Companies in fintech, gaming, e-commerce, logistics, telecom, energy, climate-tech, healthcare, and SaaS products need experts who can design, build, and maintain reliable data pipelines and analytics ecosystems. Register with us at Cybotrix Technologies — your trusted Data Engineer Job Consultancy in Vancouver, British Columbia, Canada for both entry-level and experienced data professionals.

About Data Engineer Jobs in Vancouver, British Columbia

Data Engineering focuses on building scalable infrastructure to collect, process, store, and deliver data for analytics, BI, machine learning, and decision-making. Employers in Vancouver expect Data Engineers to work with ETL/ELT pipelines, streaming frameworks, data lakes, data warehouses, SQL/NoSQL systems, and cloud-native services.

The Vancouver tech corridor — including Downtown Vancouver, Gastown, Yaletown, Mount Pleasant, False Creek Flats, Broadway Tech area, Burnaby Metrotown, Richmond business parks, and Surrey city centre — offers ongoing opportunities for Data Engineers, Big Data Developers, Analytics Engineers, DataOps Engineers, and Cloud Data Platform Specialists.

Why Demand for Data Engineers is High in Vancouver, BC

As organizations modernize their analytics stack, migrate to the cloud, and scale AI/ML initiatives, Data Engineers play a critical role in ensuring data is reliable, high-quality, secure, and available in the right format. Vancouver’s growing ecosystem of product companies, startups, and global tech centres make data engineering a priority hiring area.

  • Rapid adoption of cloud data platforms (AWS, Azure, GCP, Snowflake, Databricks, BigQuery, Redshift).
  • Need for real-time and near real-time data streaming using Kafka, Kinesis, Pub/Sub, and Spark Streaming.
  • Growing AI/ML workloads requiring robust feature stores and governed data pipelines.
  • Data privacy, security, and compliance driving demand for governed data architectures.
  • Increasing use of dashboards, BI tools, and self-service analytics across business teams.

As a result, Data Engineering jobs in Vancouver, British Columbia, Canada offer strong compensation, hybrid/remote options, and opportunities to work on modern data & analytics platforms at scale.

Popular Data Engineering Job Profiles in Vancouver, BC

As a focused Data Engineer Job Consultancy in Vancouver, we support hiring for a variety of data-focused roles:

  • Data Engineer (ETL/ELT, data pipelines, data platforms)
  • Big Data Engineer (Spark, Hadoop, distributed processing)
  • Cloud Data Engineer (AWS / Azure / GCP data services)
  • Data Platform Engineer / DataOps Engineer
  • Analytics Engineer (dbt, SQL, BI modelling)
  • Streaming Data Engineer (Kafka, Kinesis, Pub/Sub)
  • Senior / Lead Data Engineer / Data Architect

We also assist with hybrid roles such as Data Engineer + ML Engineer, Data Engineer + DevOps, and Data Engineer + BI/Visualization based on client needs.

Key Skills Required for Data Engineer Jobs in Vancouver

Employers in Vancouver and across British Columbia look for Data Engineers with strong foundations in programming, data modelling, distributed systems, and cloud-native data services. Important skills include:

  • Programming in Python, Scala, or Java for data processing and pipeline orchestration.
  • Strong SQL skills and experience with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL stores (MongoDB, Cassandra, DynamoDB, etc.).
  • ETL/ELT development using tools/frameworks like dbt, Airflow, Luigi, Kafka Connect, Glue, Dataflow.
  • Experience with Big Data frameworks (Apache Spark, Hadoop ecosystem) and distributed data processing.
  • Hands-on with AWS, Azure, or GCP data services (S3, Redshift, Snowflake, BigQuery, Synapse, Data Lake, etc.).
  • Building batch and streaming data pipelines (Kafka, Kinesis, Pub/Sub, Spark Streaming, Flink).
  • Data modelling, star/snowflake schemas, dimensional modelling, and data warehousing concepts.
  • Data quality, governance, lineage, and security best practices.
  • CI/CD for data pipelines, version control (Git), and Infrastructure-as-Code (Terraform, CloudFormation) — added advantage.

Knowledge of ML pipelines, feature stores, MLOps, and BI/visualization tools is a plus for senior and cross-functional roles.

Industries Hiring Data Engineers in Vancouver & Across Canada

As a dedicated IT & Data Engineering job consultancy, we support hiring across multiple domains:

  • Banking, Capital Markets & Wealth Management
  • FinTech, Digital Payments & Neo-banking Platforms
  • Gaming, Streaming & Digital Media Analytics
  • E-commerce, Retail & Customer Analytics
  • Logistics, Supply Chain & Route Optimization
  • Healthcare, Insurance & MedTech Analytics
  • Energy, Climate-Tech & Sustainability Analytics
  • SaaS Products, CRM, ERP & B2B Platforms

Beyond Vancouver, we also assist candidates exploring Data Engineering jobs in Toronto, Montreal, Calgary, Ottawa, and other Canadian cities.

Data Engineer Salary in Vancouver, British Columbia, Canada

The salary for Data Engineers in Vancouver, BC depends on technology stack, domain expertise, cloud experience, and overall years of experience. Typical annual salary ranges are:

  • Entry-Level / Junior Data Engineer: CAD $70,000 – $90,000 / year*
  • Mid-Level Data Engineer: CAD $90,000 – $125,000 / year*
  • Senior / Lead Data Engineer / Data Architect: CAD $125,000 – $160,000+ / year*

Contract and consulting roles in Data Engineering can attract higher hourly rates based on cloud specialization, big data experience, and platform ownership. *Approximate ranges — actual offers vary by employer, project scale, budget, and candidate profile.

How Cybotrix Supports Data Engineer Hiring & Careers in Vancouver

As a focused Data Engineer Job Consultancy in Vancouver, British Columbia, Canada, Cybotrix Technologies bridges the gap between skilled data professionals and companies that depend on modern data platforms.

  • Collecting and reviewing resumes, GitHub, Kaggle, and portfolio links from candidates.
  • Evaluating data pipeline projects, ETL/ELT implementations, cloud experience, and code quality.
  • Mapping candidates to top product companies, startups, consulting firms, and enterprises in Vancouver & BC.
  • Coordinating interviews, take-home assignments, technical discussions, and stakeholder rounds.
  • Helping with salary benchmarking, offer negotiation, and smooth onboarding.

Our objective is to connect the right Data Engineers & Data Platform Specialists with the right organizations for long-term, analytics-driven growth.

Connect with Our Data Engineer Job Consultancy in Vancouver, BC

Looking for Data Engineer jobs in Vancouver, British Columbia, Canada? Or planning to scale your data engineering, analytics, or AI/ML platform teams? Partner with Cybotrix Technologies — a trusted Data Engineer Job Consultancy in Vancouver, British Columbia, Canada. Submit your resume or hiring requirement today, and let our specialized recruitment team support your next step in the Canadian data & analytics job market.

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