At a Glance
- Tasks: Build and support innovative data products for Canadian businesses.
- Company: Join a forward-thinking company that values collaboration and creativity.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Dynamic team environment with a focus on learning and development.
- Why this job: Make a real impact by optimising data solutions and mentoring fellow engineers.
- Qualifications: Degree in Mathematics, Computer Science, or Data Analytics; 3-5 years of experience.
The predicted salary is between 50000 - 70000 £ per year.
What you will do:
- Build and support data products for Canadian use: design, curate, and publish self-service connected datasets that increase re-use and quality of the data available in support of business data and analytic initiatives.
- Design and develop data models and patterns for re-usability in collaboration with Data Governance and Information Architecture teams.
- Optimize data engineering and preparation activities through automation and leveraging of modern tools and techniques.
- Collaborate on a daily basis with the core data team and business while assisting with mentoring other engineers on the team.
- Collaborate with business teams to understand data needs, provide recommendations on solution options, and support business initiatives when required.
- Inventory critical data elements including lineage, classification, and usage.
- Create and maintain a strong collaboration with different groups inside the organization.
What you will bring:
- Mathematics, Computer Science and/or Data Analytics degree.
- 3-5+ years of applied data engineering experience (Data & Analytics education an asset).
- Expertise and knowledge of SQL, Python, Azure Data Bricks, Synapse, ADF and PowerBI.
- Strong understanding of data modeling and ability to apply different techniques within a cloud platform.
- Excellent communication, presentation, and strong organization skills.
- Excitement to share learnings with others across the company, including senior leadership and community of practice participation.
- Agile, practical, customer service-oriented mindset.
Engineer Senior in London employer: Hire Values
As a Senior Engineer at our company, you will thrive in a dynamic and collaborative work culture that prioritises innovation and professional growth. We offer competitive benefits, including opportunities for continuous learning and mentorship, all while working in a vibrant Canadian location that fosters creativity and teamwork. Join us to make a meaningful impact on data initiatives that drive business success and enhance your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer Senior 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 Hire Values!
✨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 Engineer Senior at Hire Values.
✨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 Hire Values.
✨Apply Directly through Our Website
When you find a suitable opening like Engineer Senior at Hire Values, 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 Engineer Senior 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 Hire Values, 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 Hire Values. 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 Hire Values
✨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 Hire Values!
✨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.
