Data Engineer - (Databricks & Python)

Talent Corp

City of Brisbane

Sur place

AUD 113 000 - 189 000

Plein temps

Il y a 4 jours
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Résumé du poste

Talent Corp in Brisbane is seeking an experienced Data Engineer to join an enterprise Operations Data Squad, delivering high-value data initiatives across the business.

You will combine hands-on Databricks engineering with analytics and stakeholder engagement to design scalable pipelines and robust data solutions that support better decision-making.

Qualifications

  • Hands-on Databricks engineering.
  • Strong Python and SQL capability.
  • Experience developing data pipelines/ETL/ELT solutions.
  • Analytical and problem-solving skills.
  • Excellent business communication with non-technical stakeholders.

Responsabilités

  • Design, develop and maintain scalable data pipelines and data solutions within Databricks.
  • Use Python and SQL to transform, manipulate and analyse complex datasets.
  • Translate data requirements from stakeholders into practical technical solutions.
  • Analyse data, identify trends and communicate findings clearly.
  • Support delivery of reliable datasets for reporting, analytics and operational use.
  • Perform data validation, troubleshooting and root-cause analysis.
  • Collaborate across data, technology and business teams.
  • Contribute to data engineering standards, documentation and continuous improvement.

Connaissances

Databricks
Python
SQL
ETL/ELT
Data pipelines
Analytical
Stakeholder comms
Enterprise env

Outils

Databricks

Description du poste

An exciting opportunity is available for an experienced Data Engineer to join a major enterprise organisation and work within an established Operations Data Squad delivering high-value data initiatives across the business.

This is not just a heads-down engineering position. We are looking for someone who combines strong Databricks, Python and SQL capability with excellent analytical thinking and business communication skills.

You'll work closely with business stakeholders, analysts and technology teams to understand operational requirements, analyse complex data needs and deliver robust, scalable data solutions that support better business decision-making.

What You'll Be Doing

  • Design, develop and maintain scalable data pipelines and data solutions within Databricks
  • Use Python and SQL to transform, manipulate and analyse complex datasets
  • Work with operational and business stakeholders to understand data requirements and translate them into practical technical solutions
  • Analyse data, identify trends, issues and opportunities, and communicate findings clearly
  • Support the delivery of reliable, high-quality datasets for reporting, analytics and operational use
  • Perform data validation, troubleshooting and root-cause analysis
  • Collaborate across data, technology and business teams within an enterprise environment
  • Contribute to data engineering standards, documentation and continuous improvement

What We're Looking For

  • Strong hands‑on experience with Databricks
  • Advanced Python and SQL capability
  • Strong experience developing and supporting data pipelines / ETL / ELT solutions
  • Excellent analytical and problem‑solving skills
  • Excellent business communication skills, with the ability to work directly with non‑technical stakeholders
  • Ability to understand business problems and translate them into data and technical requirements
  • Strong data investigation, validation and troubleshooting capability
  • Experience working within a large, complex commercial or enterprise environment
  • Ability to work effectively within a collaborative delivery squad

Experience within aviation, travel, banking, insurance or another large commercial environment would be highly regarded.

Location: Brisbane
Contract: 12 months
Rate: $950 - $1025 per day inclusive of super
Type: Contract

If you're a Data Engineer who enjoys combining hands‑on Databricks engineering with analytics and stakeholder engagement, this is an excellent opportunity to join a significant enterprise data initiative on a long‑term contract

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