At a Glance
- Tasks: Own and shape the data platform, building pipelines and supporting ML models.
- Company: Join a growing tech business with a collaborative team culture.
- Benefits: Competitive salary, hybrid work model, and excellent career growth opportunities.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Make a real impact on data architecture and see your work used across the business.
- Qualifications: 5+ years in data engineering with strong database and ML knowledge.
The predicted salary is between 63000 - 77000 £ per year.
Working with a growing tech business to find a Data Engineer to own their data platform end to end. You'll be the person shaping how data moves through the business - from ingestion and pipelines through to warehousing and the infrastructure that powers data science and ML work. This is a hands-on role in a small, collaborative team, with real scope to set standards, influence architecture, and see your work used across the business from day one.
Role & Responsibilities:
- Building and owning data pipelines from ingestion through to serving
- Designing data models and warehousing architecture
- Supporting ML models into production alongside the data science team
- Setting data quality, governance and compliance standards (GDPR)
Skills & Experience:
- 5+ years in data engineering
- Strong database experience
- Solid grasp of data science / ML concepts
- Python preferred — but a strong project history matters more than ticking every language box
Details:
- Hybrid role (1 day P/W on-site, Central London)
- £95k-£110k + Benefits
- Permanent position
Data Engineer employer: Intec Select
Join a forward-thinking company in London that prioritises employee well-being and professional growth. With an impressive benefits package including 39 days of annual leave, flexible working arrangements, and a generous pension scheme, we foster a collaborative work culture where your contributions are valued. As a Senior Manager in Agile Project Management, you'll have the opportunity to lead transformative projects while developing your skills in a supportive environment that encourages innovation and continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Intec Select!
✨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 Intec Select.
✨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 Intec Select.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Intec Select, 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
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 Intec Select, 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 Intec Select. 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 Intec Select
✨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 Intec Select!
✨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.
