Data Engineer at TECH ENABLED MARKETING LTD Trading name ZYXWARE TECHNOLOGIES
Victoria, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

29 Jan, 27

Salary

50000.0

Posted On

31 Oct, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

Full job description

Data Engineer (Permanent)

Salary: Up to £65,000


Location: London Victoria (1 day per week onsite, rest remote)

The Role We are seeking a skilled Data Engineer to join a growing team delivering modern, scalable data solutions. This is a permanent opportunity offering a hybrid model, with one-two days per week in London Victoria and the remainder working remotely.

You will play a key role in designing, building, and optimising data pipelines and platforms, supporting advanced analytics and business intelligence initiatives.


Key Responsibilities

  • Design and develop scalable data pipelines and data processing solutions
  • Work with modern data platforms such as Microsoft Fabric, Databricks, or similar technologies
  • Build and optimise data solutions using Python, Spark, PySpark, and/or SQL
  • Support data integration, transformation, and performance optimisation
  • Collaborate with stakeholders to ensure high-quality, reliable data architecture

Essential Skills & Experience

  • Hands-on experience with Microsoft Fabric, Databricks, or equivalent modern data platforms
  • Strong coding experience in Python and/or Spark/PySpark
  • Solid SQL skills and experience working with structured datasets


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Responsibilities

Full job description

Data Engineer (Permanent)

Salary: Up to £65,000


Location: London Victoria (1 day per week onsite, rest remote)

The Role We are seeking a skilled Data Engineer to join a growing team delivering modern, scalable data solutions. This is a permanent opportunity offering a hybrid model, with one-two days per week in London Victoria and the remainder working remotely.

You will play a key role in designing, building, and optimising data pipelines and platforms, supporting advanced analytics and business intelligence initiatives.


Key Responsibilities

  • Design and develop scalable data pipelines and data processing solutions
  • Work with modern data platforms such as Microsoft Fabric, Databricks, or similar technologies
  • Build and optimise data solutions using Python, Spark, PySpark, and/or SQL
  • Support data integration, transformation, and performance optimisation
  • Collaborate with stakeholders to ensure high-quality, reliable data architecture

Essential Skills & Experience

  • Hands-on experience with Microsoft Fabric, Databricks, or equivalent modern data platforms
  • Strong coding experience in Python and/or Spark/PySpark
  • Solid SQL skills and experience working with structured datasets


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