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- Tasks: Join us as a Data Engineer to enhance our data platform and solve business challenges.
- Company: IVC Evidensia is a global leader in veterinary care, dedicated to animal health and well-being.
- Benefits: Enjoy remote work options, 6.6 weeks annual leave, and a dog-friendly office environment.
- Why this job: Be part of a digital transformation that positively impacts pets, vets, and owners worldwide.
- Qualifications: Strong understanding of data concepts, experience with ELT, and proficiency in cloud environments required.
- Other info: Work within a collaborative culture, with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Remote: 1x day per month expected in our Keynsham office
Do you want to help power better outcomes for pets, vets, and pet owners alike?
IVC Evidensia is undergoing an exciting digital transformation. The key to this is to improve the management of our core data sets. This means accelerating the standardisation of operational systems in practices, the creation of stronger tools for managing master data, and developing standard reporting models across the group.
As a data engineer, you will work with the team to advance the data platform within a DevOps culture. Knowledge and experience of ELT, orchestration, and scripting languages (such as T-SQL) are important. Along with this, a firm grasp of data modelling and management will be essential.
Who are we
We are a global leader in veterinary care, investing in our people, premises and processes to deliver outstanding care in around 2,500 locations across 20 countries.
At IVC Evidensia, exceptional animal care is a team effort – and that includes the vital work of our central support teams. Whether in HR, marketing, operations, IT, finance, or beyond, these roles keep our clinics running smoothly and effectively. By supporting our people and processes behind the scenes, they enable our practice teams to focus on delivering the highest standard of care to animals and their owners, delivering our promise of Healthy Animals, Happy Owners.
The role
The Data Engineer will be a technical authority accountable for the design and development of the technologies that underpin our data strategy. Primarily, this means orchestrating feeds of data from source systems to our group data platform, taking technical ownership of all parts of the process.
The Data Engineer will be expected to work closely with the business to deliver solutions to solve the business challenges. This will involve talking to SMEs and breaking the challenges into deliverables. Along with this, they will also work closely with the Data Architect to define our overarching data management strategy.
What will you\’ll bring to the role
We\’re looking for a technically skilled and business-aware individual with a strong understanding of data concepts, including storage, processing, and modelling. You should be comfortable working with both relational and non-relational data technologies and have experience building and maintaining pipelines using REST APIs, JSON, and ELT protocols. Proficiency in cloud environments is essential, with a preference for Azure, and exposure to business intelligence tools like Power BI is desirable. You\’ll act as a key interface between IT and functions such as Finance and Marketing, so excellent communication and stakeholder engagement skills are vital.
You should be confident working within both Agile and waterfall frameworks and understand the importance of secure development practices and non-functional requirements such as scalability, performance, and access management. An international mindset, sensitivity to local business priorities, and a collaborative approach are essential.
You Matter to Us
Our people are at the heart of everything we do. That\’s why we invest in you: your growth, your environment, and your well-being. Alongside a competitive salary, you\’ll enjoy a range of benefits designed to support your career and life beyond work, including:
Work-life balance with hybrid and Remote working options available
Dog-friendly office when you do come into the Chocolate Factory
6.6 weeks\’ annual leave, inclusive of bank holidays
Additional holiday entitlement for your birthday
Enhanced family-friendly leave and pay
Discretionary annual bonus
Reduced-cost veterinary care for your own pets
Retail discounts and cashback offers
Private medical insurance or Cash Health Plan (eligibility applies)
Company pension with IVC Evidensia contributions
Cycle to Work and Green Car schemes (eligibility applies)
24/7 confidential Employee Assistance Programme
Wellbeing initiatives to support you at every stage
Apply now via the link below or reach out to me directly to explore this further. Alternatively, please visit our website to find out more about how we\’re positively impacting the lives of animals and their owners.
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Data Engineer employer: IVC Evidensia
Contact Detail:
IVC Evidensia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as ELT processes and T-SQL. Being able to discuss your experience with these tools during an interview will demonstrate your technical expertise and readiness for the role.
✨Tip Number 2
Showcase your understanding of data modelling and management by preparing examples of past projects where you successfully implemented these concepts. This will help you stand out as a candidate who can directly contribute to the company's data strategy.
✨Tip Number 3
Highlight your experience with cloud environments, particularly Azure, as well as any familiarity with business intelligence tools like Power BI. This knowledge is crucial for the role and will position you as a strong fit for their data platform needs.
✨Tip Number 4
Prepare to discuss how you've effectively communicated and collaborated with stakeholders in previous roles. Since this position requires interfacing with various departments, demonstrating your interpersonal skills will be key to landing the job.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Engineer at IVC Evidensia. Familiarise yourself with key terms like ELT, data modelling, and cloud environments, especially Azure.
Tailor Your CV: Highlight your relevant experience in data engineering, particularly your skills in scripting languages like T-SQL, and your familiarity with both relational and non-relational data technologies. Make sure to showcase any experience with REST APIs and business intelligence tools like Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data management and how it can improve outcomes for pets and their owners. Mention your understanding of the company's mission and how your skills align with their goals.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter. Look for any spelling or grammatical errors, and ensure that your documents are clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at IVC Evidensia
✨Understand the Data Landscape
Familiarise yourself with the key data concepts mentioned in the job description, such as ELT, data modelling, and cloud environments like Azure. Being able to discuss these topics confidently will show your technical expertise.
✨Showcase Your Communication Skills
As a Data Engineer, you'll need to interact with various stakeholders. Prepare examples of how you've effectively communicated complex data issues to non-technical team members or collaborated with different departments.
✨Prepare for Technical Questions
Expect questions related to scripting languages, data pipelines, and orchestration. Brush up on T-SQL and be ready to discuss your experience with REST APIs and JSON, as these are crucial for the role.
✨Demonstrate Your Problem-Solving Ability
Be prepared to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight your ability to break down complex problems into manageable deliverables, as this is key to the role.
