At a Glance
- Tasks: Lead a team to build complex DataBricks solutions and solve challenging problems.
- Company: Join Red Badger, a forward-thinking tech company in Central London.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on agile methodologies and career advancement.
- Why this job: Make a real impact by shaping innovative data solutions for clients.
- Qualifications: 2+ years of Databricks experience and strong AWS skills required.
The predicted salary is between 60000 - 80000 £ per year.
At least 2 years of commercial Databricks experience (current).
Strong AWS Skills.
Be able to work 2 days a week onsite in Central London.
Ideally have worked on a large scale DataBricks migration project previously.
Strong understanding of Medallion Architecture.
DataBricks certification would be welcome but we prefer hands on experience over theoretical.
The Role:
Red Badger is looking for a DataBricks Engineer to join our Data & AI practice. This is a delivery-focused role: you'll work directly with clients and Red Badger consultants, from all the cross functional disciplines, to shape complex technical solutions as an output from discovery phase, and then lead a team of data engineers to build the solution through to production. You'll work closely with the Director, Data & AI, and partner on pre-sales and proposals to add technical credibility and deepen our client partnerships.
You love solving complex problems, and customer value is your north star. You are comfortable consulting with technology stakeholders outside of your team. You are a technology polyglot, and an evangelist for agile ways of working.
Day to day, you will spend roughly half of your time hands on, pairing with data engineers on the team, and helping them pick the right design to solve the problem. In the other half, you’ll be supporting the other functions (delivery, product, software engineering) and our clients with decisions impacted by the technical strategy of the project and providing support and line management to data engineers on your team.
DataBricks Engineer employer: Red Badger
Red Badger is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that prioritises innovation and collaboration. Employees benefit from a strong focus on professional development, with ample opportunities for growth and advancement while working on cutting-edge projects. The company's commitment to agile methodologies and continuous improvement ensures that team members are empowered to make impactful contributions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land DataBricks Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Red Badger.
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We think you need these skills to ace DataBricks Engineer
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 Red Badger, 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 Red Badger. 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 Red Badger
✨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 Red Badger!
✨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.
