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Senior Data Engineer

Vantix Systems Inc -
Edmonton, AB

Apply Now

Job details

Contract
1 day ago

Qualifications

Data development experience
CI/CD
Statistics
Performance tuning
Power BI
Databricks
Data integration
Data validation techniques
Data quality assurance
R
Cloud-based ETL
Test automation
NoSQL
Google Cloud Platform
Data and database experience
Database design
Statistical analysis
AWS
Release management
Azure Data Factory
Report and presentation preparation
Usability
Mentoring
Quantitative modelling analysis
APIs
Agile
SSIS
Data visualization
AI
Cross-functional collaboration
Performing statistical data analysis
Python
Cross-functional communication
Pipeline
Dimensional modeling

Full job description

Description

Senior Data Engineer (Fully Remote, Canada Only)

Join a top employer on a multi year, fully remote contract where your work will power modern analytics and data driven decision making across multiple high impact initiatives. As a Senior Data Engineer, you’ll design and operate scalable pipelines that move data from messy reality to trusted, curated datasets and dashboards while collaborating with architects, developers, and stakeholders to deliver iterative solutions that evolve with business needs.

Benefits & Perks

Fully remote role (must be residing in Canada)
Long term, multi year engagement with project variety (typically 2 to 3 projects at a time)
Work that blends data engineering and analytics, from pipelines to insights
Opportunity to influence platform governance, reliability, and delivery standards
Note: Criminal records check required and you must provide your own equipment

Responsibilities

Design, build, and maintain scalable data pipelines across on premises and cloud platforms including Azure, Databricks, Microsoft Fabric, GCP, and AWS
Develop and optimize data models, including dimensional models (star and snowflake schemas) to improve performance and usability
Integrate data from diverse sources (relational, NoSQL, APIs, and files), using AI enabled data integration techniques such as intelligent mapping, schema discovery, metadata enrichment, and automated data quality validation
Enhance ETL and ELT processes through automation, performance tuning, and bottleneck reduction for high volume processing
Develop and operate end to end workflows using tools such as SSIS, Azure or Fabric Data Factory, Dataflows, and Notebooks, including validation, error handling, logging, monitoring, and scheduling
Implement CI CD practices for pipelines including automated testing, release management, and monitoring to improve delivery speed and reliability
Support enterprise platform management and governance including data lakes, data warehouses, security controls, and access management
Partner with cross functional teams to translate requirements into solutions and deliver curated data marts and fact and dimension tables
Analyze datasets to spot trends, patterns, and anomalies using statistical methods plus tools like DAX, Python, and R
Build and maintain Power BI dashboards and reports, creating calculated columns and measures and communicating results to stakeholders
Build predictive or descriptive models using Python or R based methods and integrate outputs into analytics workflows
Present findings clearly to non technical audiences and deliver solutions iteratively in an Agile environment, including mentoring to support analytics fluency and self service

Qualifications Required

Senior level experience delivering production grade data pipelines and data models for analytics and reporting
Hands on experience with cloud and hybrid data platforms (Azure, Databricks, Microsoft Fabric, GCP, and or AWS)
Strong ETL and ELT engineering skills, including workflow orchestration, monitoring, logging, and operational reliability
Proven ability to design dimensional models (star and snowflake) and curate data marts for downstream analytics
Experience integrating data from multiple source types (databases, NoSQL, APIs, files) with a quality first mindset
Ability to work across multiple projects and collaborate effectively with technical and business stakeholders
Must be able to pass a criminal records check, provide your own equipment, and reside in Canada

Nice to Have

Experience applying AI enabled data integration or data quality automation (schema discovery, metadata enrichment, intelligent mapping)
Strong analytics delivery background including Power BI, advanced DAX, and statistical analysis
Exposure to building predictive or descriptive models using Python and or R
Experience mentoring teams and enabling self service analytics in Agile delivery environments

Bring your pipeline wizardry and your dashboard detective skills then hit apply and let’s get your data flowing like it owns the place.

At Aplin — together with our brands CompuStaff, Impact Recruitment, and Vantix Systems — we connect great people with great organizations across North America. We believe diverse teams build stronger companies, and we welcome applicants from all backgrounds, experiences, and perspectives. We use AI tools to assist in a fair and efficient matching process, helping our recruiters connect the right people with the right opportunities. To be considered, applicants must be legally entitled to work in Canada, including holding any required permits. Our recruitment services are always free for job seekers. Accommodation is available upon request throughout all stages of the recruitment process.

Skills

Type

Contract

Experience Required/Mandatory Skills

Nice To Have Skills

Location

Edmonton

Work Environment

Rate

To commensurate with experience.

Apply Now

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