At a Glance
- Tasks: Design and implement big data solutions while collaborating with clients and tech teams.
- Company: Join Keyrus, a dynamic global consultancy with a youthful spirit.
- Benefits: Competitive salary, pension options, flexible working, and ongoing training.
- Other info: Enjoy a vibrant team culture and clear career progression opportunities.
- Why this job: Be at the forefront of big data technology and make a real impact.
- Qualifications: Experience in big data technologies and strong communication skills required.
The predicted salary is between 70000 - 90000 £ per year.
Company Description: Created in 1996, listed on Euronext's Eurolist, with consolidated revenues of €286.7m in 2019 and with more than 3,200 employees in 19 countries, the Keyrus Group offers the performance, solidity and know-how of a large professional services organization, whilst preserving the agility of a young company.
We are looking for senior solutions architects with experience in big data ecosystem to work in a customer facing capacity. Our customers, who are on their journey to become a data-driven organisation often leverage Hadoop as a part of the overall architecture. As an architect, you will be the link between business, big data developers & data scientists. You will be able to interact with various stakeholders to understand their requirements and create an evolving solution architecture for customer’s analytics platform in a consultative manner. There is a real emphasis on professional delivery as you will be working closely with stakeholders providing excellent delivery of service. Whilst working for a forward thinking company you are expected to have a real desire to learn and adapt to new technologies.
Some key technologies you can look forward to working with:
- Hadoop ecosystem e.g. Cloudera, Hortonworks, Apache Spark etc.
- NoSQL technologies e.g. Cassandra, HBase, MongoDB etc.
- AWS Cloud Ecosystem
Qualifications:
- Proven experience in consultative technical sales or professional services with a proven record of success.
- Commercial solution architecture experience in Big Data technologies e.g. Spark, Hadoop, EMR, MapR etc.
- Strong verbal and written communications skills are a must, as well as the ability to lead effectively across internal and external organizations and virtual teams.
- Deep understanding of MPP & NoSQL databases.
- Hands on experience of working in Linux including Kerberos, Multihoming, DNS etc.
- Able to work on large scale and complex projects for customers in a variety of industries and UK wide.
- Flexible to travel to the client site (Typically 2-4 days a week, remaining days remote).
Why Keyrus UK?
- We’re a fast growing, dynamic business.
- Our offices are based across the globe so there are opportunities to work internationally.
- Even though we have offices worldwide, you also have the option of staying put and working with our localised client list.
- Our team is not just talented, they’re also experienced.
- We invest in our staff with ongoing investment training and personal development opportunities.
- Our structured career path allows you to know exactly what you can expect from your future with the company and the possibilities you have ahead of you also.
- The social side of Keyrus UK really is great and we’re a bunch of like-minded people who enjoy each other’s company and who learn from each other daily.
- We keep at the forefront of technology and hold regular technology knowledge sharing forums where our clients and our employees are able to learn about new and future developments.
- Working with our clients gives you exposure to the big business enterprise world.
- Working for a niche consultancy allows you the flexibility and excitement of being at the heart of a very special business.
- Contractual benefits include a very competitive salary offering with pension options and good holiday scheme.
- Entrepreneurial spirit is encouraged and you’re given the chance to contribute to developments.
- Permanent applications only.
Big Data Architect in London employer: Keyrus
Keyrus UK is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. As a Forward-Deployed AI Architect, you will have access to competitive benefits and significant opportunities for professional growth, allowing you to make a meaningful impact on clients' AI challenges while working alongside talented data engineers and governance experts.
StudySmarter Expert Advice🤫
We think this is how you could land Big Data Architect in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Keyrus!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Big Data Architect at Keyrus.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Keyrus.
✨Apply Directly through Our Website
When you find a suitable opening like Big Data Architect at Keyrus, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Big Data Architect in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Keyrus, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Keyrus. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Keyrus
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Keyrus!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
