Data Engineer

Lead technical decisions for enterprise data architecture using Databricks

Develop strategies for cost-effective, high-performance data architectures, covering everything from data streams to analytical storage

Design and implement data solutions in Microsoft Azure, based on project needs

Build and maintain ETL processes and data models for analytical pipelines, especially in Finance

Establish and uphold best practices for software development, like version control, testing, and CI

Support pre-sales activities, including RFPs, proposals, and client communications

Guide discussions on cloud data warehousing and machine learning platforms

Provide technical support for vendor and third-party engagements

Offer ongoing support for business and technology teams on platform strategy and quality assurance

Our client empowers organizations worldwide to strategically acquire and optimize software investments, embrace cloud and AI technologies, and drive innovation through enhanced efficiency. They are a trusted advisor in strategic software acquisition, continual IT estate optimization, and maximizing returns on investments in cloud, data, and AI.

We are seeking a Data Engineer to design and implement data solutions in Microsoft Azure. As a Data Engineer, you will operate within some of our most versatile and complex client environments, utilizing technologies such as ETL tools, SQL and Python.

Bachelor’s degree in Computer Science, IT, or a related field

Minimum 2 years of Databricks and 4 years of Azure experience (certifications preferred)

Experience as a Data Architect / Engineer with hands-on expertise in Data Lakehouse, Data Lake, and Data Warehouse design

Strong knowledge of Databricks, Data Lakes and Spark

Strong experience with Azure Platform Services (Identities, Network, Storage)

Proficiency with Azure Data Services, including Azure Data Factory, Azure SQL

Experience with streaming data technologies like Databricks Streaming, Kafka, Azure Streaming Services

Experience with Azure DevOps especially Azure Pipelines

Proficiency in Python, PySpark, SQL

Familiarity with DataOps

• Opportunity to gain MS certifications
• Flexible working conditions
• Opportunity for professional development
• Freedom to develop independent processes within your team. Our client believes that employees deliver better results when given autonomy and responsibility.
• Open communication; through a flat organizational hierarchy, they are agile and able to respond as a cohesive team