At a Glance
- Tasks: Lead architectural decisions and enhance our data streaming platform using your tech expertise.
- Company: Join a leading tech and data company at the forefront of innovation.
- Benefits: Enjoy a hybrid working model and a vibrant office in central London.
- Why this job: Be part of a dynamic team that values your passion for technology and engineering excellence.
- Qualifications: Strong Data Engineering experience and familiarity with streaming technologies like Kafka required.
- Other info: This is a permanent role with opportunities to influence company-wide standards.
The predicted salary is between 54000 - 84000 Β£ per year.
A leading tech & data company are looking for a Staff Engineer within their Data Engineering function to provide architectural expertise and guidance on overall solutions to be delivered. You will be working on operational excellence and supporting the extensive data platform and also the bespoke streaming platform. This is a permanent role based in central London with a hybrid working model.
As a Staff Engineer, you will assume a key position providing architectural expertise and guidance that enables the vision of the overall solution to be delivered. You will use your knowledge of the architectural configuration of your product area to influence decisions about what tools and technologies will enhance our service offering.
This is a technical role, your enthusiasm for exploring new technology and tools will be valued in this team along with your desire to guide others. You will have a deep understanding of the services in your area of the business and how you contribute to the customer success and positive commercial outcomes. You will ensure that we maintain our standards of engineering excellence, both within your business area and as part of a community of engineering, contributing to company wide standards, processes, and tools.
Experience required:
- Strong experience in Data Engineering
- Creates alignment across teams in their domain ensuring that best practice and architectural decisions are well understood within the domain.
- Capable of setting short to medium term strategies for our services and products, creating designs and roadmaps to communicate and plan change over time in a domainβs estate.
- Is able to align key stakeholders with these strategies.
- Provides direction, advice, and guidance on the approach to delivering services and products.
- Collaborates with and guides other engineers in assessing and evaluating new technologies within the domain.
- Reduces complexity within our software, processes, and tools.
- Advocate of engineering excellence within the domain, contributes to technological wide engineering standards, processes and tools.
- Contributes to the assessment and adoption of standards, processes and tools across the whole of the organisation.
- Provides technical input into planning and business case definitions.
- Takes a risk-based approach to decision making, guides other engineers in taking the same approach, makes sure that our risk controls are considered when delivering software.
- Understands the regulatory framework in which the company operates and how it applies to their role and other engineering roles.
- Experience with streaming technologies like Kafka is required.
Staff Data Engineer - Streaming employer: Claremont Consulting
Contact Detail:
Claremont Consulting Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Staff Data Engineer - Streaming
β¨Tip Number 1
Familiarise yourself with Kafka and other streaming technologies. Join online forums or communities where data engineers discuss their experiences and challenges with these tools. This will not only enhance your knowledge but also help you connect with potential colleagues.
β¨Tip Number 2
Showcase your architectural expertise by engaging in discussions about best practices in data engineering. Attend meetups or webinars focused on data architecture to learn from industry leaders and share your insights, which can make you stand out during the interview process.
β¨Tip Number 3
Network with current employees at StudySmarter or similar companies. Use platforms like LinkedIn to reach out and ask about their experiences. This can provide you with insider knowledge about the company culture and expectations for the Staff Data Engineer role.
β¨Tip Number 4
Prepare to discuss your experience in reducing complexity within software and processes. Think of specific examples where you've successfully simplified systems or improved efficiency, as this aligns with the company's focus on operational excellence.
We think you need these skills to ace Staff Data Engineer - Streaming
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, particularly with streaming technologies like Kafka. Use specific examples of projects where you've provided architectural expertise and guidance.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for exploring new technologies and your desire to guide others. Mention how your skills align with the company's vision and how you can contribute to their engineering excellence.
Showcase Relevant Experience: When detailing your work history, focus on your ability to create alignment across teams and set strategies for services and products. Highlight any experience you have in reducing complexity within software and processes.
Prepare for Technical Questions: Be ready to discuss your understanding of the regulatory framework relevant to the role and how it applies to engineering. Prepare to explain your approach to risk-based decision making and how you've guided others in this area.
How to prepare for a job interview at Claremont Consulting
β¨Showcase Your Technical Expertise
Be prepared to discuss your experience with data engineering and streaming technologies, particularly Kafka. Highlight specific projects where you've implemented these technologies and the impact they had on the overall architecture.
β¨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Be ready to explain how you approach problem-solving, including any frameworks or methodologies you use to reduce complexity in software and processes.
β¨Align with Company Values
Research the company's mission and values. During the interview, express how your personal values align with theirs, especially regarding engineering excellence and collaboration across teams.
β¨Prepare for Stakeholder Engagement
Since the role involves aligning key stakeholders with strategies, be ready to discuss your experience in stakeholder management. Share examples of how you've successfully communicated complex technical concepts to non-technical audiences.