At a Glance
- Tasks: Design and optimise data pipelines for social video analytics.
- Company: Join Fremantle, a leading entertainment company with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Be part of a dynamic team in a fast-paced environment.
- Why this job: Make an impact by delivering insights that drive content performance.
- Qualifications: Experience in data engineering and familiarity with Google BigQuery and dbt.
The predicted salary is between 60750 - 74250 £ per year.
Fremantle is seeking a strong mid-level Data Engineer to join our Social Video data team in the UK.
You will design, build and optimise data pipelines that integrate performance, advertising, platform, audience and content data from multiple sources into Fremantle’s central data environment.
You will own the You Tube and Meta data pipelines, using Google Big Query, dbt and Microsoft Fabric to deliver accurate, timely data for dashboards, monetisation insights and viewing metrics.
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Data Engineer - Social Video Analytics & Pipelines employer: Bertelsmann-Jobs
DK is an excellent employer that fosters a collaborative and inclusive work culture, making it an ideal place for aspiring finance professionals. With a strong focus on employee growth, you will have access to ongoing training and development opportunities while working in the vibrant city of London, known for its dynamic business environment. The hybrid role allows for flexibility, ensuring a healthy work-life balance as you contribute to meaningful financial insights that drive the company's success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Social Video Analytics & Pipelines
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We think you need these skills to ace Data Engineer - Social Video Analytics & Pipelines
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 Bertelsmann-Jobs, 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 Bertelsmann-Jobs. 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 Bertelsmann-Jobs
✨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!
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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 Bertelsmann-Jobs!
✨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.
