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- Tasks: Lead the design and optimisation of a real-time data platform.
- Company: Join a high-growth digital business focused on engineering and data innovation.
- Benefits: Enjoy hybrid working, private healthcare, and regular team socials.
- Why this job: Shape a new function with cutting-edge technology and make a strategic impact.
- Qualifications: Experience with streaming data platforms and proficiency in Python, Java, or Scala required.
- Other info: Opportunity for ongoing training and development in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
We are working with a high-growth digital business that’s investing heavily in its internal engineering and data function. As they continue scaling their operations across multiple markets, they’re looking to bring on an experienced Lead Data Engineer to help shape a brand-new, real-time data platform.
About the Role
This is a hands-on individual contributor role with significant strategic impact. You’ll be responsible for architecting, building, and optimising real-time data infrastructure, collaborating closely with engineering, product, and analytics teams to ensure seamless data flow across the organisation. You’ll own the full data lifecycle—from ingestion to transformation and delivery—leveraging modern cloud and streaming technologies.
Responsibilities
- Design and build scalable, low-latency real-time data pipelines
- Integrate diverse data sources and ensure data accuracy and integrity
- Develop and maintain data models optimised for real-time querying
- Build fault-tolerant ingestion processes and ensure high availability
- Implement logging, monitoring, and alerting for infrastructure health
- Partner with cross-functional teams to deliver robust data solutions
What You’ll Bring
- Strong hands-on experience building streaming data platforms
- Deep understanding of tools like Kafka, Flink, Spark Streaming, etc.
- Proficiency in Python, Java, or Scala
- Cloud experience with AWS, GCP, or Azure
- Familiarity with orchestration tools like Airflow, Kubernetes
- Collaborative, solutions-focused mindset and a willingness to lead from the front
What’s on Offer
- Competitive base salary + quarterly bonus
- Hybrid working with a central London HQ
- Private healthcare
- Regular team socials, lunch clubs, and international company offsites
- Ongoing investment in training and development
- Opportunity to shape a new function and work on greenfield tech
Lead Data Engineer employer: Atarus
Contact Detail:
Atarus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kafka, Flink, and Spark Streaming. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your suitability for the role.
✨Tip Number 2
Showcase your collaborative skills by preparing examples of past projects where you worked closely with cross-functional teams. This will highlight your ability to partner effectively with engineering, product, and analytics teams, which is crucial for this position.
✨Tip Number 3
Research the company’s current data infrastructure and any recent developments in their technology stack. This knowledge can help you ask insightful questions during the interview, showing your genuine interest in shaping their new real-time data platform.
✨Tip Number 4
Prepare to discuss your approach to building fault-tolerant ingestion processes and ensuring high availability. Having a clear strategy or examples ready will demonstrate your expertise and readiness to take on the responsibilities outlined in the job description.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with real-time data platforms and relevant technologies like Kafka, Flink, and Spark Streaming. Use specific examples to demonstrate your hands-on experience and the impact you've made in previous roles.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the responsibilities outlined in the job description, particularly your experience in building scalable data pipelines and collaborating with cross-functional teams.
Showcase Relevant Projects: If you have worked on projects that involved cloud technologies or orchestration tools like Airflow and Kubernetes, be sure to include these in your application. Highlight your contributions and the outcomes of these projects to demonstrate your expertise.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that your formatting is consistent. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Atarus
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with streaming data platforms and the specific tools mentioned in the job description, such as Kafka, Flink, and Spark Streaming. Consider bringing examples of past projects where you successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your ability to design scalable, low-latency data pipelines. Think through potential challenges you might encounter and how you would address them, showcasing your collaborative and solutions-focused mindset.
✨Understand the Company’s Vision
Research the company’s growth trajectory and their investment in data engineering. Be ready to discuss how your role as a Lead Data Engineer can contribute to their strategic goals, particularly in shaping a new real-time data platform.
✨Prepare for Cultural Fit Questions
Since the role involves collaboration with various teams, be ready to discuss your experiences working cross-functionally. Highlight instances where you led initiatives or contributed to team success, demonstrating your willingness to lead from the front.
