At a Glance
- Tasks: Lead data architecture initiatives and drive technology projects in a dynamic defence environment.
- Company: Join Edgewing, a pioneering company shaping the future of global defence.
- Benefits: Permanent contract, performance bonuses, annual welfare benefits, and ongoing training opportunities.
- Other info: Inclusive culture focused on well-being, diversity, and professional growth.
- Why this job: Make a lasting impact on global defence while working with cutting-edge technology.
- Qualifications: 5+ years in data architecture, strong SQL skills, and experience in agile environments.
The predicted salary is between 72000 - 88000 £ per year.
By joining Edgewing, you will have a unique opportunity to help shape the company from the ground up - setting the foundations for generations to come, influencing how we work, and helping us build something world-class together.
At Edgewing, we’re united by a shared purpose to drive what’s next in defence.
Uniting UK, Italian, and Japanese expertise to shape the future of global defence.
With trust at the heart of everything we do, we empower our people to dare to go beyond, bring their best as one, and leave a mark that matters on a truly global mission, making a lasting impact through work that truly matters.
- Role Description
- We’re looking for a
Data Architect to lead and drive the successful delivery of complex data and technology initiatives within a highly regulated environment.
This is a hands-on role at the heart of our agile delivery teams, ensuring that work progresses efficiently, risks are managed effectively, and stakeholders remain aligned throughout the lifecycle of a project or product.
You’ll be working closely with functional and value stream leads to align data architecture with programme and business objectives.
Working with cross-functional stakeholders, especially product owners and engineers, to clearly define scope, objectives, and deliverables, ensuring alignment across teams to break down silos and deliver on both cloud and on-prem environments.
Projects may span from building robust API integrations to deploying data pipelines or enabling system-wide digital transformation initiatives.
We're seeking someone with over 5 years of relevant experience in delivery or programme management within a technology/data-led setting, who is confident facilitating agile ways of working and can bridge the gap between technical execution and business value.
Key Accountabilities
Accountabilities include (but are not limited to)
- Align the allocated business unit(s) overall data architecture with business objectives and Digital Information strategies.
- Work with ACWE delivery teams to ensure data management policies are considered and implemented during System Development Lifecycle phases.
- Work with other Data Architects to design the overall information/data architecture for the enterprise optimizing data flow and data storage to align with business goals and strategies.
- Design and manage data modelling and Data Dictionaries for the allocated business unit(s).
Additionally, work with Data Custodians to ensure data consistency and accuracy using database management systems and ETL tools.
- Design data integration from multiple data sources using ETL and other tools, and oversee interfaces between systems across business units to maintain data integrity.
- Design and maintain Data Models to ensure data consistency and accuracy.
- Meet with relevant stakeholders to determine project requirements and details
- Communicate Information Architecture design clearly and succinctly to different stakeholders across the business
- Identify key areas of enhancement and improvement in information architecture designs.
- Design prototypes for informational architecture flows.
- Collaborating with other Enterprise Architecture Disciplines (Business, Applications and Technology)
- Enhancing existing information architectures to be more interactive and digitally friendly.
- Updating wider team members on information architecture design principles and developments.
- Fostering and mentoring team members.
- Stay up-to-date with the latest technology trends and apply them to the organization's data architecture.
Skills and Experience
- Data modelling (conceptual, logical, physical models)
- Database design (relational and No SQL)
- Hands-on data warehousing (star/snowflake schemas) experience
- SQL & advanced query optimisation
- API design and data integration
- Master Data Management
Engagement, recognition of talent, and care for our people’s well-being and safety are the cornerstones of our corporate culture.
Every day, we are committed to fostering an inclusive and stimulating work environment, actively promoting the principles of inclusion, equity, and diversity.
What do we offer?
- The applicable collective labour agreement is the Italian National Collective Labour Agreement (CCNL) for the Private Metalworking Industry and Plant Installation Sector;
- Permanent contract with Italy as the base location
- the role includes a secondment of at least two years to Reading, the headquarters of the Joint Venture (JV)
- Performance bonus linked to business results;
- Annual welfare benefits worth €250;
- Ongoing training and professional development opportunities, covering both technical and soft skills;
- Well-being initiatives: we place great importance on the economic, physical, social, and psychological well-being of our people, offering solutions tailored to their needs.
The Company reserves the right to determine the employment grade and compensation package based on objective criteria identified during the selection process, taking into account the selected candidate’s seniority, experience, and the requirements of the role, in compliance with the principles of fairness, transparency, and equal opportunities established by applicable laws and regulations.
How does the selection process work?
Following the application review process, the CVs that best match the required qualifications will be shortlisted.
Selected candidates will first take part in an introductory interview with the Human Resources team to assess motivation and soft skills, followed by a technical interview with the hiring team.
At the end of the selection process, all candidates will receive feedback, regardless of the outcome.
#J-18808-Ljbffr
EDGEWING - Data Architect in Reading employer: Leonardo
Leonardo in Southampton is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among engineers. With a strong focus on employee growth, you will have the opportunity to develop your skills in cutting-edge technology while working on impactful defence and commercial projects. The Agile framework and emphasis on cross-platform development create a stimulating environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land EDGEWING - Data Architect in Reading
✨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 Leonardo!
✨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 EDGEWING - Data Architect at Leonardo.
✨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 Leonardo.
✨Apply Directly through Our Website
When you find a suitable opening like EDGEWING - Data Architect at Leonardo, 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 EDGEWING - Data Architect in Reading
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 Leonardo, 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 Leonardo. 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 Leonardo
✨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 Leonardo!
✨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.