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Azure data lead

Melbourne
Capgemini
Posted: 7 May
Offer description

Transform Business with Technology

We are a global leader in partnering with companies to harness the power of technology and transform their business.

About the Role


Data Engineering Lead

We are hiring a Data Engineering Lead with hands-on expertise in designing and delivering world-class, end-to-end data engineering solutions.

The ideal candidate will have strong expertise in data architecture, ETL processes, big data technologies, and cloud-based solutions.

You will work closely with stakeholders to design, build, and manage scalable data platforms supporting business intelligence, analytics, and machine learning applications.

Key Responsibilities:

* Lead the design, development, and deployment of scalable data pipelines on Azure Cloud.
* Architect and implement data solutions using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, and Azure SQL.
* Optimize ETL/ELT pipelines for efficient data ingestion, transformation, and storage.
* Develop and maintain data models to support business reporting and analytics needs.
* Collaborate with data scientists, analysts, and business teams to enable data-driven decision-making.
* Implement data governance, security, and compliance best practices in line with industry standards.
* Monitor and troubleshoot data workflows, ensuring high availability and performance.
* Lead a team of data engineers, providing technical guidance, mentoring, and support.
* Stay updated with the latest Azure data technologies and industry trends to drive innovation.

Requirements:

* 8+ years of experience in data engineering, architecture, and cloud solutions.
* Expertise in Azure Data Platform (Azure Data Factory, Databricks, Synapse Analytics, Data Lake, Azure SQL, etc.).
* Strong SQL, Python, and Spark programming skills.
* Experience with Big Data processing frameworks and streaming technologies (Kafka, Event Hub, etc.).
* Hands-on experience with ETL/ELT pipelines, data modeling, and performance tuning.
* Knowledge of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.).
* Strong problem-solving skills and ability to work in agile environments.
* Excellent communication and stakeholder management skills.

About Capgemini

At Capgemini, we are a diverse global collective of strategic and technological experts passionate about leveraging technology to help our clients, our people, and our communities achieve their future goals.

We aim to combine the latest technology with human energy to drive sustainable practices, committing to carbon neutrality by 2025 for our operations, across our supply chain by 2030, and becoming a net-zero business by 2040.

Empower yourself with knowledge and skills through access to premier learning platforms, certifications, and development opportunities, encouraging at least 40 hours of training annually.

For over 50 years, our values—honesty, boldness, trust, freedom, team spirit, modesty, and fun—have guided us, earning recognition as one of the World's Most Ethical Companies for 12 consecutive years.

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