At a Glance
- Tasks: Design and optimise data pipelines using Databricks and Azure technologies.
- Company: Join IVCEvidensia, a forward-thinking company with a remote-first culture.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with experts in an agile DevOps culture for exciting projects.
- Why this job: Make an impact by ensuring secure and scalable data flows in a dynamic environment.
- Qualifications: Experience with PySpark, Azure Data Factory, and a passion for data engineering.
The predicted salary is between 45000 - 55000 £ per year.
IVCEvidensia is seeking a Data Engineer to own the design, development, and optimisation of data pipelines on our Databricks platform, ensuring scalable, secure data flows from source systems to the group data platform.
You will collaborate with business SMEs and the Data Architect to implement the data management strategy, leveraging PySpark, Azure Data Factory, and Azure SQL Server within an agile DevOps culture.
Data Engineer, Databricks & Azure | Remote-First employer: Jackalope Digital LLC
At CreatorIQ, we pride ourselves on being an exceptional employer, fostering a vibrant work culture that prioritises collaboration, innovation, and personal growth. Our London office offers a hybrid work model, allowing for flexibility while ensuring strong team connections, and we provide comprehensive benefits including generous vacation days, wellness allowances, and stock options. Join us to be part of a diverse team dedicated to transforming the marketing industry and making a meaningful impact together.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer, Databricks & Azure | Remote-First
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer, Databricks & Azure | Remote-First
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 Jackalope Digital LLC, 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 Jackalope Digital LLC. 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 Jackalope Digital LLC
✨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 Jackalope Digital LLC!
✨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.
