Data Engineer - Fixed Term Contract

Livestock Information; England; On-site; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Fully remote work

25 days annual leave

Life Assurance 4x annual salary

Pension scheme

Job summary

Livestock Information Ltd is seeking an experienced Azure Data Engineer to design and build scalable data services on a modern Azure stack, including Databricks and Data Factory. You will lead migrations, optimize live data platforms, and collaborate with cross-functional teams to deliver impactful data products.

This 12-month fixed-term contract role offers a fully remote working setup and a salary of £50,000 per year.

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

Azure Databricks

Azure Data Factory

Azure data storage

Data modelling

Data analysis

Communication

Job description

The salary for this role is £50,000.

This role is being offered on a 12 Month Fixed Term Contract.

Are you an experienced Azure Data Engineer with a passion for building scalable, high-quality data solutions?

Can you design and optimise data pipelines using tools like Azure Databricks and Data Factory to deliver real business impact?

Do you enjoy collaborating with cross-functional teams to turn complex data into valuable insights

If so, we’d love to hear from you!

At Livestock Information Ltd, our mission is to be an outstanding service provider of livestock data, empowering government, industry, and farmers to effectively manage disease and infection control, whilst enhancing productivity and innovation in agriculture. To achieve this, we need great people, who share in our values.

As a Data Engineer at LI, you will play a key role in delivering scalable, high-quality data solutions that support critical business needs.

In this role, you’ll design and build new data services, lead migrations of existing solutions, and ensure the ongoing performance and enhancement of live data platforms. Working in a collaborative, agile environment, you’ll partner with cross-functional teams including Product Owners, Business Analysts, Developers, and Testers to deliver impactful data products.

You’ll work with a modern Azure data stack, including Databricks, Synapse, Data Factory, and Data Lake technologies, using tools like Azure DevOps to support end-to-end development and delivery.

Responsibilities

Your responsibilities will include

• 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

You may be required to undertake other duties assigned by your line manager as appropriate

Requirements

We are looking for someone with the following

• 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.

Benefits

As an LI employee, you will be entitled to our company benefits which include

• A fully remote and flexible working set up
• 25 days annual leave, increasing by 1 day each year of service up to maximum of 30 days (plus Bank Holidays)
• 1 Privilege Day
• 4 x annual salary Life Assurance
• Market leading pension scheme through Legal & General
• Enhanced Family Friendly Policies
• Excellent learning, training, and career development opportunities
• 24/7 access to our Employee Assistance Programme
• A diverse and inclusive culture where everyone is respected and valued

Artificial Intelligence

Artificial intelligence tools can be used to help you prepare your application. However, all statements and examples provided during the recruitment process should be accurate and based on your own knowledge and experience. Applications may be withdrawn if content is found to be plagiarised, including where ideas or experiences generated by artificial intelligence are presented as personal work. For further information, please click on the following link : AI & Recruitment at LI

Values

We approach our work with TACT; we are Transparent, Accountable, Committed and we work as a Team.

We are transparent together, embracing honesty and building trust. We are accountable to the industry and strive for the best possible solutions for the communities we serve. We drive change with passion, commitment and enthusiasm to deliver a great service to the livestock industry. We work kindly and cohesively which allows us to support each other in our personal and strategic goals. For more information on our values and what its like to work at Livestock Information, please visit our Careers Page : Careers - Livestock Information Ltd

Diversity statement

At Livestock Information, we value diversity and believe that every individual brings different strengths. We understand that not everyone may possess every single skill outlined in this job description, but if you believe you have a solid skill set that enables you to excel in this position then we really encourage you to apply.

Further information

If you feel your application has not been treated in a fair and open manner or if you are dis-satisfied with any of your interactions during the recruitment process and you wish to make a complaint, you should contact our Talent team via email: [e-mail]

Disclaimer

Livestock Information Ltd. cannot sponsor work visas at this time.

Livestock Information Ltd. Does not discriminate based on race, sex, colour, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Livestock Information Ltd. Does not accept unsolicited CVs from any source other than directly from a candidate. Any unsolicited CV’s not originating directly from a candidate and sent to Livestock Information Ltd or any Livestock Information Ltd employees, including unsolicited CVs sent to a Livestock Information Ltd mailing address or email address, are rejected. Livestock Information Ltd will NOT pay a fee for any placement resulting from the receipt of an unsolicited CV.