At a Glance
- Tasks: Lead data engineering projects and provide architectural expertise for innovative solutions.
- Company: Join a leading tech and data company in central London with a hybrid work model.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact on high-stakes projects while exploring cutting-edge technologies.
- Qualifications: Strong experience in Data Engineering and a passion for guiding teams.
- Other info: Collaborative environment with a focus on engineering excellence and career advancement.
The predicted salary is between 48000 - 72000 £ 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.
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 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 in City of London employer: Claremont Consulting
Contact Detail:
Claremont Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer - Data Engineering in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your data engineering projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common data engineering questions and practice your answers. Don’t forget to brush up on your knowledge of streaming technologies like Kafka, as it could come up!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. It shows initiative and helps us get to know you better right from the start.
We think you need these skills to ace Staff Engineer - Data Engineering in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Staff Engineer role. Highlight your data engineering expertise and any relevant projects you've worked on, especially those involving streaming technologies like Kafka.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our Core Data Platform team. Share specific examples of how you've provided architectural guidance in past roles.
Showcase Your Technical Skills: Don’t shy away from listing your technical skills! We want to see your proficiency in tools and technologies relevant to data engineering. Be clear about your experience with operational excellence and any strategies you've implemented.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Claremont Consulting
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering knowledge, especially around architectural configurations and streaming technologies like Kafka. Be ready to discuss how you've used these in past projects and how they can enhance the company's service offerings.
✨Showcase Your Collaboration Skills
This role involves working closely with other teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you aligned stakeholders or guided other engineers, as this will demonstrate your ability to create alignment across teams.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of best practices in data engineering. Think about how you would approach reducing complexity in software and processes, and be ready to explain your thought process clearly.
✨Emphasise Your Passion for New Technologies
The company values enthusiasm for exploring new tools and technologies. Share your experiences with adopting new tech and how it has positively impacted your work. This will show that you're not just a fit for the role but also someone who can drive innovation within the team.