At a Glance
- Tasks: Design and optimise data pipelines using Azure tools to deliver impactful solutions.
- Company: Join Livestock Information Ltd, a leader in livestock data services.
- Benefits: Enjoy remote work, 25 days annual leave, and excellent career development opportunities.
- Other info: Collaborative, inclusive culture with a focus on personal and professional growth.
- Why this job: Make a real difference in agriculture by transforming complex data into valuable insights.
- Qualifications: Experience in Python, SQL, and Azure data solutions is essential.
The predicted salary is between 63000 - 77000 £ per year.
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
- 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
- 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
- A fully remote and flexible working set up.
- 25 days annual leave, increasing by 1 day each year of service up to a 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.
Application and Interview Process
To apply for this role, you will need to submit a CV and answer some pre-screening questions. The interview and assessment process for this role will involve a telephone interview with our Talent Team, followed by a first stage and a final stage interview. Interviews will be conducted either remotely via MS Teams or face to face.
If we need to make a reasonable adjustment so that you can complete your application, please contact us as soon as possible by emailing talent@livestockinformation.org.uk before the closing date to discuss your needs. The closing date for this role is 4pm on Friday, 17th April. Applications received after the closing date will not be considered. Please note that we may close the advert early if we receive a high volume of applications.
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.
At Livestock Information Ltd, we have a zero-tolerance approach to harassment, abuse, discrimination, or bullying during our recruitment process. Any such behaviour may result in a candidate being withdrawn from consideration. We are committed to upholding our company values and ensuring a safe and respectful experience for all candidates and staff.
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: talent@livestockinformation.org.uk.
Data Engineer - Fixed Term Contract employer: Livestock Information
At Livestock Information Ltd, we pride ourselves on being an exceptional employer that values innovation and collaboration. Our fully remote and flexible working environment allows you to balance your professional and personal life while enjoying generous annual leave that increases with your tenure. We are committed to your growth, offering opportunities to enhance your skills in a supportive culture that prioritises security and quality in all our cloud solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Fixed Term Contract
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Livestock Information before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
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We think you need these skills to ace Data Engineer - Fixed Term Contract
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Livestock Information, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Livestock Information, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Livestock Information’s attention and show the tangible impact of your work.
How to prepare for a job interview at Livestock Information
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Livestock Information.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Livestock Information.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Livestock Information.
