At a Glance
- Tasks: Lead the rebuild of a modern data platform and transform legacy processes into scalable pipelines.
- Company: Dynamic company undergoing a high-impact data transformation in London.
- Benefits: Competitive salary, bonuses, and flexible working options.
- Other info: Opportunity to mentor others and grow within a collaborative environment.
- Why this job: Shape the future of data architecture and make a real impact on innovative projects.
- Qualifications: Experience in data engineering and pipeline development with cloud technologies.
The predicted salary is between 90000 - 90000 £ per year.
Salary: £90,000 + Benefits/Bonus
Location: London (1 or 2 days a week in London HQ)
Own the rebuild of a modern data platform from the ground up. We are working with a business in the middle of a high-impact data transformation, moving away from legacy constraints towards a scalable, cloud-first architecture. They are looking for a Data Engineer to take a leading role in that journey. This isn't a role where you inherit a polished environment. It's an opportunity to shape, modernise, and influence from refactoring legacy pipelines to building best-in-class data products using tools like Databricks, Azure, and GCP.
You will operate as the technical authority within the data function, setting standards, mentoring engineers, and working closely with both internal teams and external delivery partners.
The Role:
- Data Engineering & Pipeline Development
- Transform legacy batch processes into scalable, observable data pipelines
- Build and deliver high-quality data products in line with architectural design
Data Engineer in London employer: Halian Technology
Join a forward-thinking company that prioritises innovation and employee development, offering a collaborative work culture in the heart of London. As a Data Engineer, you'll not only lead the transformation of our data platform but also benefit from competitive salary packages, flexible working arrangements, and opportunities for professional growth in a dynamic environment. Embrace the chance to make a significant impact while enjoying the perks of working in a vibrant city known for its tech advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨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 Halian Technology!
✨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 Halian Technology.
✨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 Halian Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Halian Technology, 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 London
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 Halian Technology, 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 Halian Technology. 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 Halian Technology
✨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 Halian Technology!
✨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.
