Description:
Ingrity Millers Point, New South Wales, Australia
Ingrity Millers Point, New South Wales, Australia
3 weeks ago Be among the first 25 applicants
Are you a well-rounded Senior Azure Data Engineer with a passion for architecting scalable, efficient, and secure data solutions?
Join our esteemed team at INGRITY, where your skills will play a crucial role in serving our clients effectively.
Location : Sydney.
Employment Type : Full-Time.
Eligibility : Open to candidates with full working rights in Australia.
About INGRITY :
INGRITY is a Microsoft Data and AI Solution Partner dedicated to delivering transformative data and AI-driven solutions. We collaborate with some of the best ASX-listed companies and medium-sized businesses, working closely with Microsoft to create measurable value for our customers. Our success is built on innovation, customer advocacy, and a strategic partnership with Microsoft.
About The Job :
We’re looking for a skilled professional who combines deep hands-on data engineering expertise with strong solution architecture and data modeling capabilities along with expert-level SQL and strong Python skills to design and deliver impactful data platforms on Azure.
Key Responsibilities :
- Collaborate with stakeholders to gather requirements and define project goals.
- Design and implement end-to-end data solutions on Azure, including data ingestion, transformation, modeling, storage, and analytics.
- Develop robust ETL / ELT pipelines using SQL and Python, ensuring scalability, efficiency, and quality.
- Build and maintain efficient data models (star / snowflake schema) to support reporting and analytics.
- Create architecture diagrams, technical documentation, and implementation plans.
- Set up and manage CI / CD pipelines and deployment automation using Azure DevOps or similar tools.
- Apply cloud best practices using the Well-Architected Framework (WAF) and Cloud Adoption Framework (CAF).
- Implement data security, governance, and monitoring using Azure-native tools.
- Provide technical leadership and support across the entire project lifecycle.
Required Skills & Experience :
- 5 + years of experience in Azure Data Engineering or solution architecture.
- Hands-on experience with key Azure services including ADF (Azure Data Factory), Azure Databricks, Synapse, Azure SQL Database, and Data Lake Storage.
- SQL Expert - Advanced experience in writing, optimizing, and troubleshooting complex SQL queries, stored procedures, and database performance.
- Strong Python Skills - Proficient in Python for data manipulation, transformation, and scripting within data engineering pipelines.
- Strong background in data modeling for analytics and reporting, including dimensional modeling techniques.
- Experience designing ETL / ELT workflows, ingesting data from structured / unstructured sources (CSV, JSON, Parquet, APIs).
- Familiarity with CI / CD processes, Git, pull requests, and release management.
- Knowledge of Azure security best practices, including IAM, encryption, and role-based access.
- Proficiency in monitoring tools like Azure Monitor, Log Analytics, and Databricks utilities.
- Strong problem-solving skills, attention to detail, and ability to work independently.
- Experience with PySpark or Spark in Databricks.
- Exposure to real-time data processing tools (e.g., Event Hub, Stream Analytics).
- Knowledge of data cataloging and governance tools (e.g., Azure Purview).
- Familiarity with DevOps practices in data environments.
About INGRITY :
We are a fast-growing, progressive Sydney-based data & analytics company. We service many large corporates and SMBs in the financial services sector, to derive value from data. At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Information Technology
IT Services and IT Consulting
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