At a Glance
- Tasks: Design and maintain scalable ETL/ELT data flows for impactful decision-making.
- Company: Join a small, collaborative data team at Black & White Recruitment.
- Benefits: Enjoy a hybrid work model with office presence three days a week.
- Other info: Be part of a dynamic team focused on improving data movement.
- Why this job: Take ownership and solve problems while shaping reliable data platforms.
- Qualifications: Experience in data engineering and a passion for innovative solutions.
The predicted salary is between 54000 - 66000 £ per year.
Black & White Recruitment is seeking a Data Engineer to join a small, collaborative data team.
You will design, build and maintain data flows, ETL/ELT processes and data solutions that power operational reporting and decision-making.
The role emphasizes ownership, problem-solving and technical input beyond ticket-work, with a focus on scalable, reliable data platforms and improved data movement.
This hybrid role requires office presence three days a week at a regional location; you'll work with
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Data Engineer: Shape scalable ETL/ELT data flows employer: Black & White Recruitment
At Black & White Recruitment, we pride ourselves on being an excellent employer that fosters a supportive and dynamic work culture. Our Greater London location offers the perfect blend of professional growth opportunities, including mentoring roles for experienced solicitors, alongside the flexibility of hybrid working arrangements and a competitive salary package, making it an ideal environment for those seeking meaningful and rewarding employment in family law.
Contact Details:
Black & White Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Shape scalable ETL/ELT data flows
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer: Shape scalable ETL/ELT data flows
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!
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Craft a Tailored Cover Letter:For a full-time role at Black & White Recruitment, 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 Black & White Recruitment. 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 Black & White Recruitment
✨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!
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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
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✨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.