Senior Data Engineer | Engineering & CAD Data

Akkodis

Western Australia

On-site

AUD 120,000 - 170,000

Full time

31 hours ago
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Job summary

Akkodis is seeking a senior data engineer in Australia’s Western Australia region to drive data transformation and pipeline automation across CAD, PLM, and manufacturing domains. The role emphasizes delivering production-ready data, provenance, and robust data quality controls while collaborating with Engineering, Manufacturing, and Digital teams.

You will work within a complex engineering environment undergoing digital and data transformation, mapping and enriching engineering data, and

Qualifications

  • Must have senior, hands-on experience in data engineering/analytics.
  • Mandatory AGSVA Baseline Security Clearance or higher to be considered.

Responsibilities

  • Build, maintain and improve data pipelines between CAD, PLM and other engineering systems.
  • Extract and transform complex, highly normalised engineering data.
  • Reassemble component level data into production-ready items and hierarchical structures.
  • Map engineering information into correct BOMs, parent-child relationships, and installation locations.
  • Develop transformation logic using Python and Power Query.
  • Cleanse, validate, map and enrich engineering datasets.
  • Design and embed automated data quality checks throughout the pipeline.
  • Assign and manage unique identifiers to maintain traceability between source and production data.
  • Develop logic to identify, track and manage changes as designs are revised.
  • Work with master and reference data to improve consistency and quality.
  • Investigate poorly documented data and establish structures in less mature domains.
  • Support migration of CAD and engineering data into PLM and other platforms.
  • Collaborate with Engineering, Manufacturing, Supply Chain and Digital stakeholders.
  • Resolve complex data quality, transformation and integration issues.
  • Understand engineering information in context across design, manufacturing and product lifecycle processes.

Skills

Python
Power Query
Data pipeline/ETL
Data cleansing/quality
Data mapping/enrichment
Data modelling/hierarchical data
Change detection/delta mgmt
Master/reference data mgmt
Data discovery in complex env
Advanced Excel

Job description

Who We Are

Akkodis, we thrive on solving complex problems and building a smarter future; we power digital transformation and accelerate innovation with our cross-industry technology and digital engineering consulting, talent services and skilling. We're passionate about our work and committed to creating and implementing cutting-edge solutions that drive industry progress. Our culture is built on honesty, respect, fairness and inclusion, and we're looking for innovative and talented individuals who share these values to join us on this journey.

The Project

You'll be working within a complex engineering and manufacturing environment undergoing significant digital and data transformation.

The program is improving how engineering information is structured, managed and transferred from design systems into Product Lifecycle Management systems and downstream manufacturing processes. A key focus is transforming complex CAD data into accurate, traceable and production ready information.

Working closely with Engineering, Manufacturing, Supply Chain and Digital teams, you'll help extend and automate existing data processes, improve data quality and ensure engineering information can move reliably from design through to production.

Please note: This position requires a current AGSVA security clearance at Baseline level or above. Candidates without a current Baseline or higher clearance cannot be considered.

Responsibilities
  • Build, maintain and improve data pipelines between CAD, PLM and other engineering systems
  • Extract and transform complex, highly normalised engineering data
  • Reassemble component level data into production ready items and hierarchical structures
  • Map engineering information into the correct Bill of Materials, parent child relationships and installation locations
  • Develop transformation logic using Python and Power Query
  • Cleanse, validate, map and enrich engineering datasets
  • Design and embed automated data quality checks throughout the pipeline
  • Assign and manage unique identifiers to maintain traceability between source and production data
  • Develop logic to identify, track and manage changes as engineering designs are revised
  • Work with master and reference data to improve consistency and quality
  • Investigate poorly documented data and establish structures in less mature engineering domains
  • Support the preparation and migration of CAD and engineering data into PLM and other enterprise platforms
  • Work closely with Engineering, Manufacturing, Supply Chain and Digital stakeholders
  • Resolve complex data quality, transformation and integration issues
  • Understand engineering information in context and how it flows through design, manufacturing and product lifecycle processes
Skills & Experience

To be successful, you will bring strong Data Engineering or Data Analytics experience, ideally gained within an engineering, manufacturing, defence or physical asset environment.

Skills required:
  • Strong Python skills for data transformation and pipeline development
  • Power Query and advanced Excel
  • Data pipeline and ETL development
  • Complex data extraction and transformation
  • Data cleansing, validation and quality checking
  • Data mapping and enrichment
  • Data modelling and hierarchical data structures
  • Change detection and delta management
  • Master and reference data management
  • Hands on data discovery within complex or poorly documented environments

Experience working with engineering information is particularly important. Exposure to the following will be highly regarded:

  • o Engineering or manufacturing datasets
  • o Bills of Materials and parent child product structures
  • o CAD data and design systems
  • o Product Lifecycle Management systems
  • o Engineering to manufacturing data flows
  • o Part numbering, configuration and engineering change management
  • o Product or asset lifecycle data
  • o Piping, electrical, mechanical or other engineering disciplines

We're looking for a senior, hands on professional who is comfortable working with limited direction. You'll need to investigate complex data, develop practical transformation logic and understand the meaning and context of engineering information rather than simply moving data between systems.

Mandatory requirement: You must hold a current AGSVA Baseline Security Clearance or higher to be considered for this opportunity.

Why Work for Us?

Joining Akkodis means being part of a dynamic community of engineers that's at the forefront of tech innovation. You'll have the opportunity to work with cutting-edge technologies:

Whether your interests lie in systems engineering, software development, data platforms or any other tech discipline, we have a role that will suit you. You'll get to collaborate with talented expert colleagues from around the world who share your enthusiasm and passion for technology. We offer a flexible and supportive work environment, and we're committed to helping you grow and achieve your career goals. If you want to make a real difference, Akkodis is the place for you.

Akkodis is a commercial brand under which both AKKA and Modis entities operate.

"Akkodis is an Equal Opportunity employer, committed to all forms of workforce inclusion. We actively invite and encourage applications by candidates from diverse backgrounds".

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