At a Glance
- Tasks: Lead a team to deliver innovative data solutions and manage exciting projects.
- Company: Join a forward-thinking organisation committed to data excellence.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: We value diversity and encourage all backgrounds to apply.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Degree in IT or related field; experience with SQL, cloud platforms, and data visualisation tools.
The predicted salary is between 55000 - 65000 £ per year.
Qualifications and Experience
- Degree in Computer Science, IT, or a related field, or a combination of education and relevant experience.
- Proficiency in query languages, e.g. SQL, Java, Hive, R.
- Experience with data management technologies such as ETL tools and data integration platforms.
- Experience with data visualisation tools such as PowerBI and Qlik.
- Relevant certification in data architecture or related domains.
- Proven experience as a Data Architect, Data Engineer, or a related role with a strong emphasis on data architecture design and implementation using modern data engineering tools and technologies.
- Hands-on experience with cloud-based data platforms and services (e.g., Azure, AWS), including familiarity with cloud-based data storage and big data technologies.
- Experience working in the public sector.
- In-depth knowledge of modern data practices, platforms, services, and the interface with cloud technologies, as well as data modelling techniques.
- Strong knowledge of data security, data privacy and regulatory compliance standards (e.g., GDPR, CCPA) and their implications for data architecture.
- Good understanding of the working practices of a Police Force.
Responsibilities
- Lead a team delivering data solutions, products or services.
- Manage projects.
- Apply excellent analytical and problem-solving skills to translate complex requirements into practical, scalable solutions.
- Connect disparate data sets to build useful analytics.
- Plan, coordinate and prioritise workload for self and team.
- Produce good-quality documentation and reports, and present information to stakeholders of varied levels.
Equal Opportunity and Inclusive Hiring
We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Data Architect in Lincoln employer: Onyx-Conseil
As a Data Architect with us, you will thrive in a dynamic and inclusive work environment that values innovation and collaboration. Our commitment to employee growth is reflected in our comprehensive training programmes and opportunities for advancement within the public sector, ensuring that you can develop your skills while contributing to meaningful projects that impact the community. Located in a vibrant area, we offer a supportive culture that prioritises work-life balance and encourages diverse perspectives, making us an excellent employer for those seeking a rewarding career in data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Lincoln
✨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 Onyx-Conseil!
✨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 Onyx-Conseil.
✨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 Onyx-Conseil.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at Onyx-Conseil, 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 in Lincoln
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 Onyx-Conseil, 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 Onyx-Conseil. 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 Onyx-Conseil
✨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 Onyx-Conseil!
✨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.
