At a Glance
- Tasks: Design and build data pipelines to power a modern data ecosystem.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous improvement and learning.
- Why this job: Make a real impact by solving complex data challenges and enhancing business value.
- Qualifications: 5+ years in data engineering, strong Python skills, and cloud platform experience.
The predicted salary is between 60000 - 80000 £ per year.
As a Data Engineer, you’ll play a key role in designing, developing, and maintaining the infrastructure and pipelines that power a modern data ecosystem.
Key responsibilities include:
- Collaborating with stakeholders across different teams to understand data requirements and translate them into scalable solutions.
- Designing and building data pipelines to move, transform, and manage data across multiple layers of the platform.
- Developing and maintaining the underlying technical infrastructure that supports data operations and processing.
- Establishing engineering standards, reusable patterns, and best practices to ensure high-quality delivery.
- Contributing to the evolution of platform capabilities and identifying opportunities to improve how data is leveraged across the organisation.
- Supporting governance, adoption, and effective use of the platform through technical guidance and consultation.
What We’re Looking For:
You’re an experienced Data Engineer who enjoys solving complex problems and building reliable, scalable data solutions. You combine strong technical capability with a practical approach to delivering business value. You’ll likely bring:
- 5+ years of experience in data engineering or a related technical discipline.
- Strong programming experience with Python and distributed data processing technologies such as Spark.
- Advanced SQL skills and experience working with large and complex datasets.
- Experience analysing, cleansing, transforming, migrating, and modelling data.
- Hands-on experience working with cloud platforms such as Azure, AWS, or GCP.
- Experience designing data platforms, pipelines, or modern data architectures.
- A collaborative mindset and the ability to work effectively across technical and non-technical teams.
Data Engineer in City of London employer: i3
Join a forward-thinking company that values innovation and collaboration, where as a Data Engineer, you will be at the forefront of building robust data solutions that drive business success. Our inclusive work culture fosters continuous learning and professional growth, offering you the chance to enhance your skills while working with cutting-edge technologies in a dynamic environment. Located in a vibrant area, we provide unique opportunities for networking and personal development, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in City of 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 i3!
✨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 i3.
✨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 i3.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at i3, 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 City of 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 i3, 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 i3. 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 i3
✨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 i3!
✨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.
