At a Glance
- Tasks: Shape data strategy and lead high-profile projects on AWS.
- Company: Award-winning tech company focused on secure data solutions.
- Benefits: Competitive salary, 25 days holiday, medical insurance, and training allowance.
- Other info: Diverse culture that values openness and equal opportunities for all.
- Why this job: Make a real impact in a dynamic environment with cutting-edge technology.
- Qualifications: Minimum 6 years experience in data architecture and team mentoring.
The predicted salary is between 70000 - 90000 £ per year.
Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations.
We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise.
Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations.
In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first.
In 2020 Aker Systems was recognised as a One to Watch on the Sunday Times Tech Track.
The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories.
Due to the nature of the work and the customers, you must hold enhanced DV Security Clearance.
As a Lead Data Architect, with a minimum of 6 years of experience, you will play a role in shaping data strategy and ensuring the success of our clients complex, critical high-profile projects.
You will support the design and implementation of secure, scalable, and resilient data architectures on AWS and other cloud platforms, while also serving as a mentor to a team of skilled data professionals.
Duties We help our colleagues and take pride in successfully achieving difficult tasks.
We run towards problems and help to solve them.
In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more.
Equal Opportunities Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics.
We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.
Lead Aws Data Architect employer: Aker Systems Limited
Aker Systems is an exceptional employer that prioritises a collaborative and inclusive work culture, making it a great place for professionals to thrive. With a strong focus on employee growth, we offer opportunities for mentorship and skill development while working on cutting-edge cloud-based data solutions. Located in a vibrant tech hub, our team enjoys a competitive salary, generous holiday allowance, and the chance to be part of award-winning projects that shape the future of enterprise data management.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Aws Data Architect
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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 Aker Systems Limited.
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We think you need these skills to ace Lead Aws Data Architect
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!
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Craft a Tailored Cover Letter:For a full-time role at Aker Systems Limited, 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 Aker Systems Limited. 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 Aker Systems Limited
✨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!
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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 Aker Systems Limited!
✨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.
