Data Engineer

Job Description

Key Responsibilities

Drive the success of QTC’s Unified Data Program by consolidating data assets and decommissioning legacy systems.

Design and implement data collection, warehousing, ETL processes, and advanced analytics solutions.

Collaborate with business units to understand and model data requirements for optimal provisioning and consumption.

Develop and maintain solutions using Azure Databricks and Azure DevOps.

Build and deploy machine learning models and AI solutions to enhance data-driven decision-making.

Provide data engineering support across BAU and project-based initiatives.

About You

You’re a proactive and technically skilled data engineer with a passion for solving complex problems and delivering high-quality outcomes. You thrive in collaborative environments and bring a strong sense of integrity, creativity, and initiative to your work.

Skills & Experience

Essential:

Minimum 5 years’ experience in data engineering, including 3+ years with Azure Databricks and DevOps.

Advanced proficiency in Python, PySpark, and SQL.

Proven experience in scalable data warehouse and analytics solution design.

Strong analytical and critical thinking skills.

Desirable:

Experience with financial markets data and large-scale data transformation programs.

Familiarity with Microsoft Fabric and Power BI.

Qualifications

Essential:

Tertiary qualification in Finance, Mathematics/Statistics, Data Science, Computer Science, Engineering, or Physics.

Azure Databricks certifications.

Desirable:

Certifications in Microsoft Fabric, Power BI, Python, or PySpark.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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