At a Glance
- Tasks: Design and maintain high-performance data pipelines using Databricks.
- Company: Join a forward-thinking client focused on data infrastructure.
- Benefits: Flexible contract role with potential for extension and onsite options.
- Other info: Fast-paced environment with opportunities for growth and collaboration.
- Why this job: Take on substantial responsibility and solve challenging data problems from day one.
- Qualifications: Experience with Databricks and cloud platforms like AWS, Azure, or GCP.
The predicted salary is between 48000 - 72000 £ per year.
We’re seeking a skilled Data Engineer (contractor) to help our client build and scale their data infrastructure using Databricks.
Responsibilities
- Design, build and maintain scalable, high-performance data pipelines
- Work with streaming and batch data ingestion
- Optimize data quality and reliability
- Collaborate with analytics, product, and engineering teams
- Influence architecture decisions and shape best practices
Qualifications
- Proven experience with Databricks in production environments
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and related data services
- Experience with monitoring, logging, and troubleshooting
- Comfort with autonomy, ambiguity, and fast-paced environments
Details
- Contract role (6 months +), with potential extension
- Ideally 2 days a week onsite in Warrington, but can offer some flex if this is not feasible
- Start ASAP
If you’re passionate about data, like solving hard problems, and want substantial responsibility from day one — let’s talk.
Data Engineer in Warrington employer: Branch Tech
At Branch Tech, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to take ownership of their projects. As a Full-Stack AI Engineer, you will have the opportunity to work remotely or in a hybrid setting, collaborating with a passionate team dedicated to revolutionising the EV space. We offer competitive benefits, continuous learning opportunities, and a supportive environment that encourages personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Warrington
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Branch Tech!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Branch Tech.
✨Leverage Professional Networks
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 Branch Tech.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Branch Tech, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Warrington
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 Branch Tech, 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 Branch Tech. 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 Branch Tech
✨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 Branch Tech!
✨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.
