Data Engineer

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Leonardo is seeking a Data Engineer to design, deploy, and maintain data architecture, focusing on DataOps pipelines for analytics.

Last checked on August 24, 2026. We may earn a commission when you click through.

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This position is ideal for experienced data engineers looking to make an impact in a collaborative setting. However, the lack of disclosed salary may deter some candidates considering overall compensation.

✓ Opportunity for collaboration with diverse teams ✓ Focus on innovative data solutions ✓ Potential for professional growth

Data Engineer

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Updated 2 days ago
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New South Wales

This position is ideal for experienced data engineers looking to make an impact in a collaborative setting. However, the lack of disclosed salary may deter some candidates considering overall compensation.

About this role

Leonardo is seeking a Data Engineer to design, deploy, and maintain data architecture, focusing on DataOps pipelines for analytics.

About the Company

Find Data Science Jobs connects top talent with leading companies in the data science field.

Key Highlights

  • Design and maintain scalable data architecture
  • Collaborate with data scientists and IT teams
  • Focus on DataOps pipelines for analytics
  • Work across multiple sites

💡 Honest Take: The role offers a for growth but may involve navigating corporate silos and varying expectations across sites. Prospective candidates should be prepared for a that could present challenges in cross-site collaboration.

Pros

  • Opportunity for collaboration with diverse teams
  • Focus on innovative data solutions
  • Potential for professional growth

Cons

  • Salary not disclosed
  • Remote work not available
  • Possible challenges in inter-site communication

Best For: Data engineers in New South Wales looking to deepen their expertise while working with cross-functional teams.

Watch Out: Limited information on salary and benefits for some applicants.

Apply for this position

You'll be redirected to au.talent.com

Expert Review

This Data Engineer role at Leonardo demands a strong background in data architecture and DataOps. Candidates should expect to handle complex data pipelines and collaborate closely with data scientists across various locations. While the position emphasizes teamwork, it may require adeptness at overcoming communication barriers inherent in multi-site operations.

The company's site (https://au.talent.com/redirect?acquisition_sub_id=10101&bpid=a8cae62c824143ab21c23a689f157c9d&channel_1=default&channel_2=default&channel_3=default&context=api&eligible=yes&falcon=1&id=633863852952060417&initiator=jobs+lagos&is_gl=0&l=Sydney&pc=7&pid=30d4c6dd3921&publisher=7c2b7e61c1&puid=fddaddddddddadd8fddaddddadd8dddbbddeadd79ddbdddeeddgaddaeddgdddcdddfadd99ed3dddb6ed2gd9abd9g3deg3deg3deg3deg3deg3deggddggddgfddg3deg3deg8ddgdddgfddb3ee33cef3beb3cec3ee33def3de93de83de93deb3de93deg3ded3dea3de83ee33de93debced3fed3&rdr=&sdb=3&search_id=66d8cbd980d984c3de93b21862e184f9&source=RubikTech&testid=sonicBackFillGLNoResults&utm_campaign=arbitrage&utm_medium=api&utm_product=7c2b7e61c1) lacks salary details, making it challenging for candidates to gauge the attractiveness of the compensation package. Despite these drawbacks, the potential for career advancement within a collaborative framework remains a strong selling point.

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