At a Glance
- Tasks: Design and manage data pipelines for analytics and machine learning.
- Company: Join Preply, a forward-thinking company focused on data innovation.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a collaborative environment with exciting career advancement potential.
- Why this job: Shape the future of data and make a significant impact in a dynamic team.
- Qualifications: Experience in data engineering and a passion for data quality.
The predicted salary is between 63000 - 77000 £ per year.
Preply is hiring a Senior Data Engineer for the Data Ingestion and Enrichment team.
You will design and own the data layer powering analytics, ML, and product, working with ML Platform, Analytics, and Product squads to ensure production-ready pipelines.
You will build ingestion foundations, manage batch and streaming pipelines, enforce data contracts, and drive data quality and governance across domains, enabling scalable, observable data assets.
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Senior Data Engineer: Data Lake & Ingestion Architect employer: Preply
At Preply, we pride ourselves on being an excellent employer that fosters creativity and innovation in a collaborative work environment. Our commitment to employee growth is reflected in our supportive culture, where team members are encouraged to explore new ideas and develop their skills. Located in a vibrant city, we offer unique advantages such as flexible working arrangements and a focus on work-life balance, making it a rewarding place for those looking to make a meaningful impact in user engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Data Lake & Ingestion Architect
✨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 Preply!
✨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 Senior Data Engineer: Data Lake & Ingestion Architect at Preply.
✨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 Preply.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer: Data Lake & Ingestion Architect at Preply, 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 Senior Data Engineer: Data Lake & Ingestion Architect
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 Preply, 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 Preply. 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 Preply
✨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 Preply!
✨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.
