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- Tasks: Design and deliver scalable data pipelines using modern technologies.
- Company: Join a high-impact programme focused on real-time data solutions.
- Benefits: Competitive salary up to £110,000 plus benefits and remote work.
- Why this job: Make a real impact on mission-critical systems with cutting-edge tech.
- Qualifications: Strong Java experience and familiarity with streaming technologies required.
- Other info: Opportunity for continuous improvement and career growth in a dynamic environment.
The predicted salary is between 110000 - 110000 £ per year.
We are looking for a hands-on Lead Data Platform Engineer to join a high-impact programme delivering scalable, real-time data solutions. This role offers the opportunity to work on complex, mission-critical systems using modern technologies across streaming, cloud, and distributed data platforms.
The Role
As a Lead Data Platform Engineer, you will design and deliver batch and real-time data pipelines that are highly available, low latency, and scalable. You will collaborate with cross-functional teams to shape solutions, influence architecture, and ensure data is transformed into reliable, consumable outputs.
Key Responsibilities
- Design, build, and deploy data pipelines and backend services
- Work with real-time streaming technologies and event-driven architectures
- Champion engineering best practices including TDD, CI/CD, and clean code
- Collaborate with architects, analysts, and testers in Agile/BDD environments
- Take ownership of services in production, ensuring performance and reliability
- Drive continuous improvement across data platform capabilities
- Contribute to solution design, estimation, and delivery planning
Required Experience
- Strong production Java experience
- Experience with Kafka, Kinesis, or similar streaming technologies
- Hands-on experience with Spark, Flink, Kafka Streams, or similar
- Experience with Spring Boot and/or Python
- Strong experience with AWS (including Lambda and S3)
- Experience integrating with PostgreSQL, Redis, or similar
- Solid understanding of data pipelines and data modelling
- Passion for clean, testable, and maintainable code
- Experience working in Agile and/or DevOps environments
Desirable Skills
- Experience with Elasticsearch, OpenSearch, or Solr
- Familiarity with Terraform, Ansible, or Packer
- Experience with CI/CD tools such as Jenkins or Drone
If you are interested, please apply or get in touch to discuss further.
Lead Engineer employer: Digital Skills ltd
Contact Detail:
Digital Skills ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data pipelines and real-time solutions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions, especially around Java, AWS, and streaming technologies. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to join our team and make an impact.
We think you need these skills to ace Lead Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Platform Engineer role. Highlight your experience with Java, streaming technologies, and AWS. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share examples of data pipelines or systems you've built. We’re keen to see your hands-on experience and how you’ve tackled challenges in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Digital Skills ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Java, Kafka, and AWS. Brush up on your knowledge of data pipelines and real-time streaming technologies, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when talking about designing scalable data solutions or improving system performance.
✨Emphasise Collaboration
Since this role involves working with cross-functional teams, be ready to share examples of how you’ve successfully collaborated with architects, analysts, and testers. Highlight your experience in Agile environments and how you’ve contributed to team success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data platform, their engineering practices, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.