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- Tasks: Lead data engineering projects and provide architectural guidance for innovative solutions.
- Company: Join a leading tech and data company in the heart of London.
- Benefits: Enjoy a hybrid working model and competitive perks.
- Why this job: Be part of a dynamic team driving impactful data solutions and exploring new technologies.
- Qualifications: Strong experience in Data Engineering and familiarity with streaming technologies like Kafka.
- Other info: This is a permanent role with opportunities for professional growth.
The predicted salary is between 48000 - 84000 £ 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.
Role: The data engineering team manages and works on multiple streams and projects that have a high impact and importance for the business. This role will sit within the Core Data Platform (CDP) team, which is split into two teams, our Platform team that focuses on operational excellence and supporting our extensive data platform and our Streaming team that supports our bespoke streaming platform. 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 domain’s 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 advantageous.
Staff Engineer - Data Engineering employer: Claremont Consulting
Contact Detail:
Claremont Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer - Data Engineering
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in data engineering, especially streaming technologies like Kafka. This knowledge will not only help you during interviews but also demonstrate your enthusiasm for the role.
✨Tip Number 2
Network with current employees or professionals in the data engineering field. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your experience in creating alignment across teams and your approach to setting strategies for services and products. Be ready to share specific examples that highlight your leadership and architectural expertise.
✨Tip Number 4
Showcase your understanding of regulatory frameworks relevant to data engineering. Being able to articulate how these regulations impact your work will set you apart as a candidate who is not only technically proficient but also aware of compliance issues.
We think you need these skills to ace Staff Engineer - Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Engineering, particularly any architectural expertise and guidance you've provided in previous roles. Use specific examples that demonstrate your ability to manage multiple projects and your understanding of streaming technologies like Kafka.
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 job description, particularly your experience in creating strategies and roadmaps for services and products. Mention your commitment to engineering excellence and collaboration.
Showcase Relevant Projects: If you have worked on significant projects related to data platforms or streaming technologies, be sure to include these in your application. Describe your role, the challenges faced, and the outcomes achieved to illustrate your impact and expertise.
Highlight Soft Skills: Don't forget to mention your soft skills, such as collaboration, communication, and leadership. These are crucial for a Staff Engineer role, especially when it comes to aligning stakeholders and guiding other engineers in adopting best practices.
How to prepare for a job interview at Claremont Consulting
✨Showcase Your Technical Expertise
As a Staff Engineer in Data Engineering, it's crucial to demonstrate your deep understanding of data architecture and engineering principles. Be prepared to discuss specific technologies you've worked with, especially streaming technologies like Kafka, and how they can enhance the company's service offerings.
✨Align with Company Goals
Understand the company's vision and how the Data Engineering team contributes to it. During the interview, articulate how your experience aligns with their goals, particularly in operational excellence and supporting extensive data platforms.
✨Emphasise Collaboration Skills
This role requires collaboration across teams. Highlight your experience in guiding and mentoring other engineers, and provide examples of how you've successfully aligned stakeholders with architectural strategies in previous projects.
✨Prepare for Problem-Solving Scenarios
Expect technical questions that assess your problem-solving abilities. Be ready to discuss how you approach complexity in software and processes, and share examples of how you've implemented best practices and reduced complexity in past roles.
