At a Glance
- Tasks: Design and build robust data pipelines for AWS cloud storage and processing.
- Company: Dynamic tech company in Central London with a hybrid working model.
- Benefits: Competitive salary, generous pension plan, and flexible work schedule.
- Other info: Office attendance only two days a week, excellent career growth opportunities.
- Why this job: Join an ambitious team and shape the future of data-driven decision-making.
- Qualifications: Experience in data architecture and familiarity with modern Dev/DataOps culture.
The predicted salary is between 70000 - 80000 £ per year.
Salary: £70,000 - 80,000 per year
I am looking for a talented Data Architect or Senior Data Engineer who is ready to transition into a Data Architect role. You should have solid experience in designing and building robust data pipelines that integrate both internal and external raw data sources into AWS cloud-based storage and processing platforms. You will need to demonstrate proficiency in defining and designing scalable, future‑ready solutions that provide strong and flexible data architecture supportive of business needs. Additionally, experience in developing and executing migration plans for legacy data into Snowflake is essential, ensuring a smooth and efficient transition. Familiarity with a modern Dev/DataOps culture is also required.
Responsibilities:
- In this hands‑on role, you will report directly to the Head of Data Engineering and Data Platforms.
- You will be part of an ambitious Data Engineering team tasked with designing and building robust, scalable foundations to drive data‑driven decision‑making using the latest technology.
- Your responsibilities will include overseeing the construction of data pipelines, ensuring data integrity and security, and collaborating closely with cross‑functional teams to enhance data architecture.
Technologies:
- AWS
- Architect
- Cloud Security
- Snowflake
- Fivetran
- Power BI
- SQL
- dbt
This position is based in Central London with a hybrid working model, requiring office attendance only two days per week. We are offering a competitive salary ranging from £75,000 to £80,000, commensurate with experience, along with an attractive benefits package that includes a generous pension plan. If you believe you are a perfect fit for this opportunity, I encourage you to apply. I look forward to discussing your CV, career ambitions, and this exciting opportunity with you in greater detail.
Data Architect employer: Sivara GmbH
Join a forward-thinking company that values innovation and collaboration, where as a Data Architect in Central London, you will thrive in a dynamic work culture that promotes professional growth and development. With a hybrid working model, competitive salary, and an attractive benefits package including a generous pension plan, this role offers the perfect balance of flexibility and support for your career ambitions. Be part of an ambitious Data Engineering team dedicated to driving data-driven decision-making using cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect
✨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 Sivara GmbH!
✨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 Data Architect at Sivara GmbH.
✨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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Sivara GmbH, 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 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!
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
