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- Tasks: Transform raw data into actionable insights and lead a dynamic data engineering team.
- Company: Exciting entertainment sector company based in vibrant Central London.
- Benefits: Competitive salary, bonus scheme, flexible remote work, and inclusive culture.
- Why this job: Join a growing team to shape the future of data science and machine learning.
- Qualifications: Expertise in SQL, Python, and cloud data platforms; leadership skills preferred.
- Other info: Great career growth opportunities in a supportive and diverse environment.
The predicted salary is between 80000 - 90000 £ per year.
Senior Data Engineer required to join an expanding team for this exciting growth opportunity within the entertainment sector. Our client is embarking on a journey to bring data science and machine learning to the heart of how they get most from their customer data. The role aims to improve revenue, customer satisfaction, retention and acquisition by delivering actionable insight from customer data. With a new cloud-based data platform being built that will collate transactional and behavioural data, the data engineering team will play a pivotal role working with the wider data team and collaborating with a range of business areas. Our client can offer a vibrant and rewarding work environment based in the heart of Central London, and flexibility to work from home (2 or 3 days per week) if required.
Key responsibilities for the post include:
- Convert raw data into usable information for analytics and business decision-making across business functions.
- Maximising value derived from data and enable data platform users to self-serve their data and insight needs. This will involve collaboration across technical and business teams to create assets that can be used and understood.
- Build data systems and pipelines.
- Evaluate business needs and objectives. Recommend solutions and be responsible for detailed design.
- Technical leadership of other data engineers, e.g., early career data engineers.
- Monitor the operation of production systems, e.g., ensure delta updates for the DW are complete prior to users accessing the refreshed data.
- Conduct complex data analysis and report on results.
- Prepare data for decision support (reports, dashboards etc), for integration with other systems.
- Enhance and monitor data quality, including publication of a data catalogue.
- Identify opportunities for data acquisition.
- Develop analytical tools and programs.
Key skills and experience
Essential:
- Expert SQL and Python skills.
- Track record of delivery of Cloud data platforms.
- Input to a product manager’s expression of business requirements (normally through use cases) and an architect’s high-level design.
- Write low level designs (based on requirements and high-level design) – including the physical data design - and work with the team to develop and deploy code.
- Problem-solving and communication skills.
- Very strong engineering skills working with data scientists and data engineers.
- Experience of manipulating and optimising the use of data from disparate sources.
Desirable:
- AWS, FiveTran, DBT and Snowflake experience.
- Team / Technical Leadership / Management.
- Degree in Computer Science or a similar field.
- Certifications in AWS, Snowflake, or other equivalent technologies.
Our client can offer a salary in the region of £80,000 - £90,000 (dependent on experience) plus an attractive benefits package that includes a bonus scheme. They’re also committed to being a great employer that recognises and will accommodate talented people with diverse needs and provide opportunities for all regardless of background.
Senior Data Engineer in London employer: Vadis People
Contact Detail:
Vadis People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving SQL and Python. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for common interview questions but also be ready to discuss specific technical challenges you've faced. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your SQL and Python skills, and any experience with cloud data platforms. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our exciting journey in the entertainment sector. Let us know why you're the perfect fit for our team.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include examples that demonstrate your problem-solving skills and technical leadership. We love seeing how you've turned raw data into actionable insights.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Vadis People
✨Know Your Data Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've converted raw data into actionable insights, as this will show your practical experience and understanding of the role.
✨Showcase Your Cloud Experience
Since the role involves working with cloud data platforms, be prepared to talk about your experience with AWS, FiveTran, DBT, or Snowflake. Highlight any projects where you've built data systems or pipelines, as this will demonstrate your technical expertise.
✨Collaboration is Key
This position requires collaboration across technical and business teams. Think of examples where you've successfully worked with others to achieve a common goal, especially in terms of enhancing data quality or developing analytical tools.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Prepare to discuss challenges you've faced in previous roles, particularly those involving data manipulation or optimisation, and how you overcame them. This will showcase your critical thinking and engineering skills.
