出海雷达

数据工程师(固定期限合同)

Data Engineer - Fixed Term Contract

开发工程限定地区(需当地身份)日间重叠仅 1 小时,需熬夜配合
公司Livestock Information
薪资£50,000/年
工作地点United Kingdom
地域资格限定地区(需当地身份)
时区要求日间重叠仅 1 小时,需熬夜配合
用工类型Contractor
发布时间9 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United Kingdom 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:日间重叠仅 1 小时,需熬夜配合。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

这位职员工的薪水为50,000英。这份职业是12个月固定的期限合同上提供的。你是一个经验丰富的 Azure 数据工程师,热衷于构建可扩展和高质量的数据解决方案吗?你可以使用 Azure Databricks 和 Data Factory 等工具设计和优化数据管道来实现真正的商业影响吗?你喜欢与跨功能团队合作将复杂数据转换成宝贵的见解吗?如果你有这样的话,我们很想听从你!在畜牧信息有限公司,我们的使命是成为一家出色的牲畜数据服务提供商,赋予政府,工业和农民有效管理疾病和感染控制,同时提高农业生产力和创新。为了实现这一目标,我们需要伟大的人群,他们分享我们的价值观。作为 LI 的数据工程师,你将在提供可扩展,高质量的数据解决方案中发挥关键作用,支持关键企业需求。在这角色中,你将设计和构建新的数据服务,领导现有解决方案的迁移,并确保持续的实用数据平台的性能和增强。在协作,敏捷的环境中,你将与包括产品所有者,商业分析师,开发人员和测试员在内的跨功能团队合作,以提供有影响力的数据产品。你将使用现代 Azure 数据堆,包括 Databricks,Synapse, Data Factory 和 Data Lake 技术,使用 Azure DevOps 等工具来支持端到端开发和交付。责任你的职责将包括 · Azure 上设计和实施数据存储解决方案:适当选择 Azure 数据存储服务并设计数据存储计划,确保它们针对特定应用情况优化。· 构建和维护数据管道用于数据集成和处理:为数据流动和过程调整构建和维持数据管道。从各种来源收集数据,将数据转化为实用格式并使用 Azure Data Factory 和 Azure Databricks 等工具在 Azure 上加载适当的数据存储解决方案。确保数据管道可扩展和高效。·通过测试与验证确保数据质量和准确性:测试和验证数据管道不同阶段,从提取到加载。·通过调节和监控优化数据处理性能:通过调整数据管道和监测性能,确保数据处理是有效的和可扩展的;

查看英文原文

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.

For further information, please see the attached Job Description - Data Engineer Job Description
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

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 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
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
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:
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. Livestock Information Ltd considers any candidate for whom the recruiter has submitted an unsolicited CV referred by the company free of any fees.
Originally posted on Himalayas

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