At a Glance
- Tasks: Transform and clean data for live systems and analytical workflows.
- Company: Join a forward-thinking company with a focus on data innovation.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Collaborative environment with a chance to learn and grow your skills.
- Why this job: Make an impact by improving data quality and working with cutting-edge tools.
- Qualifications: 2:1 in a relevant degree, SQL knowledge, and programming experience.
The predicted salary is between 45000 - 65000 £ per year.
Our client is looking for Junior and Middle level Data Engineers to join the teams. 1 day in office every 3 months. Permanent, salary is £45k-£65k depending on experience.
Job Details:
- Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows.
- Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans.
- Maintain process quality and robustness through coding best practice, including version control, documentation and peer review.
- Investigate and elaborate data issues to help drive continuous improvement in data quality.
- Migrate legacy processes to new data platforms.
- Learn new tools and techniques to support data processing and analytics as we expand our toolkit.
Skills we would love you to have:
- Minimum 2:1 in a relevant technical degree.
- A good understanding of database architecture and querying using SQL.
- A sound understanding of data transformation and cleaning.
- Programming experience using any language such as Python.
- Understanding of Microsoft Azure, Power BI and Snowflake; skills in SQL, Cognos and a data visualisation tool like Tableau, Power BI or Qlik.
- 2-4 years experience, good communication to work across functional teams.
Remote Data Engineer in Livingston employer: McCabe & Barton
Our client offers a dynamic and supportive work environment for Data Engineers, with a strong emphasis on professional growth and development. With flexible remote working options and a collaborative culture, employees are encouraged to innovate and enhance their skills while contributing to meaningful projects. The company values continuous improvement and provides opportunities to work with cutting-edge technologies, making it an excellent choice for those seeking a rewarding career in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer in Livingston
✨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 McCabe & Barton!
✨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 Remote Data Engineer at McCabe & Barton.
✨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 McCabe & Barton.
✨Apply Directly through Our Website
When you find a suitable opening like Remote Data Engineer at McCabe & Barton, 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 Remote Data Engineer in Livingston
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 McCabe & Barton, 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 McCabe & Barton. 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 McCabe & Barton
✨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 McCabe & Barton!
✨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.
