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- Tasks: Lead the design and development of real-time data pipelines and infrastructure.
- Company: Join TogetherWeTech, an innovative iGaming scale-up transforming its tech landscape.
- Benefits: Enjoy a 10% bonus, private health insurance, and personal development training budget.
- Why this job: Be the first Lead Data Engineer and make a significant impact in a dynamic environment.
- Qualifications: Experience with real-time data pipelines, distributed streaming platforms, and strong programming skills required.
- Other info: Work hybrid, with three days onsite in London and enjoy quarterly rewards and annual trips.
The predicted salary is between 72000 - 84000 £ per year.
We are hiring a Lead Data Engineer for our exciting iGaming scale-up. As a Lead Data Engineer, you'll be an integral hire in the company's transition to bringing all its tech in-house. This means becoming their first-ever Lead Data Engineer, designing and building robust, scalable, and high-performance real-time data.
Key Benefits:
- 10% Bonus
- Private Health Insurance
- Personal development training budget
- Quarterly rewards
- Annual trips for company conferences
Key Requirements & Responsibilities:
- Design, develop, and optimise real-time data pipelines and infrastructure.
- Build efficient data models for real-time analytics.
- Proven experience in managing real-time data pipelines across multiple initiatives.
- Expertise in distributed streaming platforms (Kafka, Spark Streaming, Flink).
- Experience with GCP (preferred), AWS, or Azure for real-time data ingestion and storage.
- Strong programming skills in Python, Java, or Scala.
- Proficiency in SQL, NoSQL, and time-series databases.
- Knowledge of orchestration tools (Apache Airflow, Kubernetes).
If you are a passionate and experienced Senior Data Engineer seeking a Lead role, or a Lead Data Engineer aiming to make an impact like in a previous position, we would love to hear from you!
Lead Data Engineer employer: TogetherWeTech
Contact Detail:
TogetherWeTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network with professionals in the iGaming and data engineering sectors. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge during interviews.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as Kafka, Spark Streaming, and GCP. Consider building a small project or contributing to open-source projects that utilise these tools to showcase your hands-on experience.
✨Tip Number 3
Prepare to discuss your previous experiences managing real-time data pipelines. Be ready to share specific examples of challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and leadership potential.
✨Tip Number 4
Research TogetherWeTech and their current projects. Understanding their business model and how they leverage data can help you tailor your discussions during interviews, showing that you're genuinely interested in contributing to their success.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, especially with real-time data pipelines and distributed streaming platforms like Kafka or Spark Streaming. Use keywords from the job description to catch their attention.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the company's goals. Mention specific projects where you've designed or optimised data pipelines, showcasing your leadership potential.
Showcase Technical Skills: Clearly outline your technical expertise in programming languages such as Python, Java, or Scala, and your experience with cloud platforms like GCP, AWS, or Azure. Provide examples of how you've used these skills in previous roles.
Highlight Leadership Experience: If you have experience leading teams or projects, make sure to include this in your application. Discuss how you've managed initiatives and contributed to team success, as this role requires strong leadership capabilities.
How to prepare for a job interview at TogetherWeTech
✨Showcase Your Technical Skills
As a Lead Data Engineer, you'll need to demonstrate your expertise in real-time data pipelines and distributed streaming platforms. Be prepared to discuss specific projects where you've used technologies like Kafka, Spark Streaming, or Flink, and how you optimised data models for analytics.
✨Understand the Company’s Tech Stack
Familiarise yourself with TogetherWeTech's tech stack, especially their use of GCP, AWS, or Azure. Showing that you understand their infrastructure will not only impress them but also help you articulate how you can contribute to their transition to in-house tech.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-time data management. Think about challenges you've faced in previous roles and how you overcame them, particularly in managing multiple initiatives simultaneously.
✨Highlight Leadership Experience
Since this is a Lead role, be ready to discuss your leadership experience. Share examples of how you've guided teams, mentored junior engineers, or led projects to success, emphasising your ability to drive results and foster collaboration.
