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Data Engineer

Job in Calgary, Alberta, D3J, Canada
Listing for: NDT Global GmbH & Co.
Full Time position
Listed on 2026-03-14
Job specializations:
  • IT/Tech
    Data Engineer
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Job Description

Posted Tuesday, March 10, 2026 at 5:00 AM

About NDT Global

NDT Global is the leading provider of inline diagnostic solutions, advanced data insights, subsea inspection, and integrity management services that safeguard energy-sector infrastructure. The company is recognized for its expertise in both ultrasonic inspection technologies—such as Pulse Echo, Pitch-and-Catch, Phased Array, and Acoustic Resonance (ART Scan)—and ultra-high-resolution Magnetic Flux Leakage (MFL) inspection services. These differentiated offerings, along with non-ultrasonic technologies like Inertial Measurement Units and others in development, enable NDT Global to deliver comprehensive asset integrity solutions.

Innovation is at the core of NDT Global's mission. We continuously challenge the boundaries of existing technologies to deliver transformational solutions that empower the industry to achieve safer, more cost-effective pipeline management. Our commitment to research and development drives the creation of vital new methods and tools that address the evolving needs of our customers while setting new industry standards.

By strategically applying inspection technologies to detect, diagnose, and model various types of threats, NDT Global provides predictive, decision-ready insights. These insights, driven by the world’s most accurate data, enable asset owners to optimize infrastructure health, drive operational efficiencies, reduce risk, and minimize their carbon footprint

Goal / Purpose of the Role

The Data Engineer will design, build, and maintain scalable data pipelines ensuring that data flows smoothly from its source to its destination efficiently and securely. The Data Engineer is also responsible for automating processes and tasks. This may include creating scripts to move files from one location to another or developing algorithms to process data more efficiently.

Job Overview /

Key Responsibilities

Design and build data pipelines by creating systems to collect, move, and transform data from various sources into a usable format.

Manage data storage by constructing and maintaining databases, data warehouses, and data lakes to store and organize data securely and efficiently.

Automate processes by building data automation through APIs that move data seamlessly across systems.

Collaborate with teams including Data Architects, BI teams, and other stakeholders to understand their data needs and build the necessary infrastructure.

Ensure data quality by implementing Master Data and related data processes to clean, validate, and monitor reliability and performance.

Maintain infrastructure by ensuring the data infrastructure is scalable, secure, and compliant with company policies. Monitor and troubleshoot data workflows to ensure high availability and performance. Develop and maintain documentation for data processes and architecture.

Qualifications / Education

Bachelor's degree in Computer Science, Data Engineering, or a related field.

Must be proficient in spoken and written English.

Experience

Minimum of 4+ years of experience working within a Data Engineering team building data automation solutions.

Strong proficiency in SQL and experience with relational and No

SQL databases.

Hands‑on experience with ETL tools and frameworks such as SSIS or Azure Data Factory.

Familiarity with data warehousing concepts and tools such as Snowflake or Big Query.

Knowledge of Python or other scripting languages used for data processing.

Experience working with cloud services such as Azure or AWS.

Understanding of data governance, security, and compliance best practices.

Exposure to machine learning pipelines and advanced analytics environments is preferred.

Strong problem‑solving and communication skills.

Solutions Oriented Mindset
Demonstrates resilience and analytical thinking to break down complex issues and develop viable solutions.

Teamwork
Fosters a collaborative environment where teamwork is valued and contributes to the success of the team, department, and organization.

Customer Mindset
Places internal and external customers first and proactively anticipates and exceeds expectations.

Communication
Builds and maintains strong…

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