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Data Engineering Specialist
Data Engineering SpecialistAecon Group Inc. • Calgary, AB, CA
Data Engineering Specialist

Data Engineering Specialist

Aecon Group Inc. • Calgary, AB, CA
1 day ago
Job type
  • Full-time
Job description

Overview

Come Build Your Career at Aecon! As a Canadian leader in infrastructure development, Aecon is safely and sustainably building what matters for future generations to thrive. We lead some of the most impactful infrastructure projects of our generation, at the forefront of transformational change in transportation and energy, and partnering every day to build, connect, power, and strengthen our communities.

  • Safety Always. Our number one core value. If we can’t do it safely, we don’t do it at all.
  • Integrity. We lead by example, with humility and courage.
  • Accountability. We’re passionate about delivering on our commitments.

Our Commitments

  • Inclusion. We provide equitable opportunities for everyone.
  • We lead the infrastructure industry with purpose, investing in our people and fostering a culture of growth.
  • The Opportunity

    What is the Opportunity? As the Data Engineering Specialist, you will be versatile and driven to help build the data foundation for our AI / ML initiatives. This role is essential to enabling intelligent automation, predictive analytics, and machine learning across our operations. You’ll design scalable data pipelines, transform complex data sources, and ensure our models have the high-quality inputs they need to deliver real impact.

    What You’ll Do Here

    Scalable Data Ingestion

  • Develop and maintain robust pipelines for ingesting data from diverse sources, including IoT devices, operational systems, and field applications.
  • Ensure data is clean, timely, and reliable for downstream analytics and modeling.
  • System Integration

  • Build connectors and workflows to integrate with various enterprise platforms and tools.
  • Normalize and transform semi-structured, unstructured and nested data into usable formats for analytics and AI / ML applications.
  • Structured / Unstructured Data Processing

  • Support data engineering efforts on the Azure Data Platform (including Azure Databricks, Data Lake, and other services).
  • Create workflows to extract insights from documents, images, emails, and other unstructured formats.
  • Implement OCR, NLP preprocessing, and metadata extraction pipelines.
  • Converting unstructured data to markdown.
  • CI / CD Automation in Databricks. Design and implement continuous integration and continuous deployment (CI / CD) workflows within Databricks to streamline code updates, automate testing, and accelerate delivery of data pipelines and analytics solutions. Leverage version control and automated build processes to ensure code quality and reproducibility across environments.
  • AI / ML Enablement

  • Collaborate with AI / ML teams to deliver curated datasets with engineered features, labeled examples, and consistent schemas.
  • Build feature pipelines, manage dataset versioning, and track data lineage.
  • Operational Resilience

  • Strengthen system reliability and reduce technical debt by supporting ingestion, integration, and data infrastructure.
  • Monitor and optimize performance across data workflows.
  • Strategic Impact

  • Play a foundational role in enabling AI-driven capabilities such as predictive analytics, anomaly detection, and intelligent automation.
  • Ensure the AI / ML team has the data infrastructure needed to deliver high-impact solutions.
  • What You Bring To The Team

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • 3+ years of experience in data engineering, preferably in AI / ML environments.
  • 3+ years of experience using Databricks and / or MS Fabric
  • Proficiency in Python, SQL, and distributed data frameworks (e.g., Spark, Kafka).
  • Experience with cloud platforms (e.g., Azure, AWS, GCP) and orchestration tools (e.g., Airflow, Prefect).
  • Strong understanding of data modeling, ETL / ELT processes, and unstructured data workflows.
  • Reason for vacancy : New position

    The expected salary range for this opportunity is $81,500-$95,000.

    Aecon fosters diversity, inclusion and belonging within and across our organization. We welcome all to apply including, women, visible minorities, Indigenous peoples, persons with disabilities, and persons of any sexual orientation or gender identity.

    We are committed to adhering to the objectives and requirements outlined in the Accessible Canada Act (ACA), and to meeting the accessibility needs of persons with disabilities in a timely manner. Through the implementation of the requirements of the ACA and its applicable regulations, appropriate accommodations will be provided upon request throughout the interview and hiring process.

    As part of our commitment to fair and transparent hiring practices, Aecon may use artificial intelligence (AI) tools to assist in screening and reviewing candidates. These tools are applied responsibly and in accordance with applicable privacy laws and Aecon’s AI Usage Policy. All final decisions are made by qualified Aecon team members.

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