Azure Data Engineer – Remote, 12-Month FTC

Remote Worker LTD.; United States; Remote; USD 60,000 - 73,000; Full time

Benefits offered by this job

Fully remote working

Pension scheme

Life Assurance

Annual leave 25 days

Job summary

Livestock Information Ltd is seeking an experienced Data Engineer to design and build scalable data services on a modern Azure stack, including Databricks, Synapse, Data Factory, and Data Lake. You will lead migrations, optimize performance, and collaborate with Product Owners, Analysts, Developers, and Testers to deliver data products.

You will work in an agile, cross-functional environment, supporting critical business needs and ensuring data security and GDPR compliance across large datasets.

Qualifications

• Proven experience in Python programming for data engineering and analytics.
• Strong proficiency in SQL, including the Microsoft T‑SQL dialect.
• Hands-on experience with Azure data storage solutions.
• Practical knowledge of data integration and processing frameworks, such as Azure Databricks and Azure Data Factory.
• Solid understanding of data modelling concepts and schema design best practices.
• Strong analytical and problem-solving skills, with excellent attention to detail.
• Effective communication skills and the ability to work collaboratively within cross-functional teams.

Responsibilities

• Designing & Implementing Data Storage Solutions on Azure: Select Azure data storage services appropriately and design data storage schemas, ensuring they are optimised for specific use cases.
• Building and Maintaining Data Pipelines for Data Integration and Processing: Build and maintain data pipelines for data movement and process orchestration. Collect data from various sources, transform data into a practical format and load it into appropriate data storage solutions on Azure using tools such as Azure Data Factory and Azure Databricks. Ensure data pipelines are scalable and efficient.
• Ensuring Data Quality & Accuracy Through Testing & Validation: Test and verify data at different phases of the data pipeline, from extraction through to loading.
• Optimising Data Processing Performance Through Tuning & Monitoring: Ensure data processing is efficient and scalable by tuning the data pipeline and monitoring performance; identify and resolve bottlenecks in the data pipeline and optimise data processing algorithms.
• Developing & Maintaining Data Models & Schemas: Develop and maintain data models and schemas optimised for specific use cases. Select the appropriate data modelling techniques and ensure the data schema is scalable and efficient.
• Collaborating With Other Teams to Provide Data for Analytics & Reporting: Work closely with other teams to provide data they need to perform their job functions.
• Ensuring Data Security & Privacy Prerequisites Are Followed: Ensure that data streamed and processed on Azure confirms with applicable data security and privacy requirements such as the General Data Protection Regulation (GDPR).
• Working with Large Datasets & Performing Data Analysis: Work with large datasets of hundreds of millions and billions of rows of data and perform data analysis
• Staying updated on the latest Azure features, updates and best practices to ensure they are adopted effectively as appropriate

Skills

Python

SQL

Data integration

Data processing

Data modelling

Data quality

Communication

Tools

Azure Databricks

Azure Data Factory

Azure Synapse

Azure Data Lake

Job description

Livestock Information Ltd is seeking an experienced Data Engineer to design and build scalable data services on a modern Azure stack, including Databricks, Synapse, Data Factory, and Data Lake. You will lead migrations, optimize performance, and collaborate with Product Owners, Analysts, Developers, and Testers to deliver data products.

You will work in an agile, cross-functional environment, supporting critical business needs and ensuring data security and GDPR compliance across large datasets.