At a Glance
- Tasks: Design and build scalable data pipelines on Databricks, driving data modelling and ELT processes.
- Company: Join IVC Evidensia, a growing veterinary care group with an international mindset.
- Benefits: Enjoy flexible remote-first working and a supportive DevOps culture.
- Other info: Collaborate with business experts and enhance your skills in a dynamic environment.
- Why this job: Make a real impact in veterinary care through innovative data solutions.
- Qualifications: Experience in data engineering and familiarity with Databricks and Azure.
The predicted salary is between 45000 - 55000 £ per year.
IVC Evidensia is seeking a Data Engineer to design, build and maintain scalable data pipelines on the Databricks platform, interfacing with source systems and the group data warehouse.
You will drive data modelling and ELT processes while collaborating with business SMEs and the Data Architect.
The role emphasises Dev Ops culture, secure development, and an international mindset within a growing veterinary care group. Flexible remote-first working is supported.
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Data Engineer – Databricks & Azure Platform employer: IVC Evidensia
Inspiring vet care is an exceptional employer, offering a collaborative and values-led culture that prioritises care, community, and continuous improvement. As an Area Director in the West Midlands and Black Country, you will have the autonomy to shape strategy and performance while benefiting from extensive professional development opportunities and a generous benefits package, including 6.6 weeks of annual leave and a healthcare cash plan. Join us to make a meaningful impact on patient care and team engagement in a dynamic, multi-site environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Databricks & Azure Platform
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We think you need these skills to ace Data Engineer – Databricks & Azure Platform
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at IVC Evidensia, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IVC Evidensia. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at IVC Evidensia
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IVC Evidensia!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
