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- Tasks: Transform raw data into actionable insights for business decisions and enhance data quality.
- Company: Join a vibrant entertainment company in Central London focused on data science and machine learning.
- Benefits: Enjoy a competitive salary, flexible working options, and an attractive benefits package including bonuses.
- Why this job: Be part of a growing team that values innovation and collaboration in a dynamic work environment.
- Qualifications: Expertise in SQL and Python, with experience in cloud data platforms and strong problem-solving skills.
- Other info: Diversity is celebrated here; all backgrounds are encouraged to apply.
The predicted salary is between 64000 - 72000 £ 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:- Convert raw data into usable information for analytics and business decision-making across business functions.
- Maximise value derived from data and enable data platform users to self-serve their data and insight needs.
- 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.
- 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 employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering, especially around cloud platforms like AWS, Snowflake, and tools like DBT. This knowledge will not only help you during interviews but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the entertainment sector or those already working at StudySmarter. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully built data systems or pipelines. Be ready to explain your problem-solving approach and how you collaborated with both technical and business teams to achieve results.
✨Tip Number 4
Showcase your leadership skills by discussing any experience you have in mentoring or guiding junior data engineers. Highlighting your ability to lead a team can set you apart, especially since this role involves technical leadership.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and cloud data platforms. Emphasise any relevant projects or roles that demonstrate your ability to convert raw data into actionable insights.
Craft a Compelling Cover Letter: In your cover letter, explain why you're excited about the role and how your skills align with the company's goals in the entertainment sector. Mention your experience in collaborating with technical and business teams.
Showcase Technical Skills: Be specific about your technical skills in your application. If you have experience with AWS, FiveTran, DBT, or Snowflake, make sure to include these details as they are desirable for the position.
Highlight Leadership Experience: If you have experience leading teams or mentoring early career data engineers, be sure to mention this in your application. It shows that you can take on technical leadership responsibilities.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Technical Skills
Make sure to highlight your expert SQL and Python skills during the interview. Be prepared to discuss specific projects where you've successfully built data systems or pipelines, as this will demonstrate your hands-on experience and technical prowess.
✨Understand the Business Context
Familiarise yourself with the entertainment sector and how data science can drive customer satisfaction and revenue. Being able to articulate how your work can impact business decisions will show that you understand the bigger picture and are aligned with the company's goals.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of examples where you've tackled complex data challenges or optimised data usage from disparate sources. This will help illustrate your analytical thinking and technical leadership skills.
✨Demonstrate Collaboration Skills
Since the role involves working closely with both technical and business teams, be ready to discuss your experience in collaborative environments. Share examples of how you've effectively communicated with data scientists and other stakeholders to deliver actionable insights.
