At a Glance
- Tasks: Lead data strategies and implement robust data platforms for public sector organisations.
- Company: Join Made Tech, a forward-thinking tech consultancy focused on the public sector.
- Benefits: Enjoy 30 days of leave, flexible working, and a supportive wellbeing programme.
- Other info: Remote work options and excellent career growth opportunities await you.
- Why this job: Make a real difference by empowering public sector teams with data-driven insights.
- Qualifications: Experience in data engineering, cloud services, and agile methodologies is essential.
The predicted salary is between 60000 - 80000 £ per year.
As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data‑led, by equipping them with robust data platforms. You’ll join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You’ll help implement efficient data pipelines and storage.
Key Responsibilities
- Define, shape and perfect data strategies in central and local government.
- Help public sector teams understand the value of their data, and make the most of it.
- Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP.
- Contribute to recruitment efforts and take on line management responsibilities.
Skills, Knowledge & Expertise
- Proficiency in Git (including GitHub Actions) and ability to explain branch strategy benefits.
- Strong experience in IaC and guidance on deploying infrastructure into different environments.
- Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop.
- Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes).
- Ability to create data pipelines in a cloud environment and integrate error handling.
- Understand how to create reusable libraries to encourage uniformity across multiple data pipelines.
- Document and present end‑to‑end diagrams to explain a data processing system on a cloud environment.
- Knowledge of diagramming notations such as C4, UML, etc.
- Enthusiasm for learning and self‑development.
- Experience with agile delivery‑lead projects and applying agile practices such as Scrum, XP, Kanban.
- Own the cloud infrastructure underpinning data systems through a DevOps approach.
- Design and implement efficient data transformation processes at scale, both in batch and streaming.
- Skill in delivering data platforms as a Data Engineer.
- Knowledge of SOLID, DRY and TDD principles and practical implementation.
- Commercial mindset to grow accounts organically with senior stakeholders.
- Improve resilience in projects by checking for software vulnerabilities and implementing appropriate testing strategies (unit, integration, data quality).
- Guide on implementing a robust DevOps approach in a data project.
- Discuss tools needed such as DataOps in areas such as orchestration, data integration and data analytics.
Desirable Experience
- Working at a technology consultancy.
- Using Docker and virtual environments in development and CI/CD.
- Collaborating with senior stakeholders to gather requirements and maintain engagement.
- Using pair programming or mob programming techniques.
- Productionising machine learning models with data scientists.
- Working knowledge of statistics.
- Working with multidisciplinary digital and technology teams.
- Working within the public sector.
Benefits
- 30 days of paid annual leave.
- Flexible parental leave options.
- Remote working available part‑time for all staff.
- Paid counselling and financial/legal advice.
- Pension plan with 7% employer match.
- Optional social and wellbeing calendar of events.
- Smart Tech scheme, Cycle to work scheme, and individual benefits allowance (Health care cash plan or pension plan).
SC (Security Check) clearance is required for all successful candidates. Eligibility requires 5 years UK residency and 5 years employment history (or full‑time education). Ideally no more than 30 consecutive days spent outside the UK in the last five years. If at any point it is apparent that you may not be eligible for SC, we will not be able to progress your application.
Senior Data Platform Architect - Public Sector in Swansea employer: 慨正橡扯
At Made Tech, we pride ourselves on being an exceptional employer, particularly for those in the Senior Data Platform Architect role within the public sector. Our commitment to employee growth is evident through our supportive work culture, which encourages continuous learning and collaboration, alongside a comprehensive benefits package that includes 30 days of paid annual leave and flexible working options. Join us in making a meaningful impact while enjoying a healthy work-life balance and the opportunity to shape data strategies that empower public sector organisations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Architect - Public Sector in Swansea
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Made Tech. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data platforms and cloud services. This is your chance to demonstrate how you've tackled challenges similar to those at Made Tech.
✨Tip Number 3
Get ready for the interview! Research common questions for data architects and practice your responses. Be ready to discuss your experience with Git, IaC, and data pipelines in detail—this is your moment to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Platform Architect - Public Sector in Swansea
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight how your skills align with the role. We want to see how you can help public sector organisations become data-led, so don’t hold back on showcasing your relevant experience!
Show Off Your Technical Skills:Since this role is all about data platforms, be sure to mention your proficiency in Git, IaC, and any cloud services like AWS or Azure. We love seeing candidates who can demonstrate their technical prowess, so include specific examples of your work!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and enthusiasm for the role!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at 慨正橡扯
✨Know Your Data Inside Out
Make sure you’re well-versed in the data strategies relevant to public sector organisations. Brush up on your knowledge of data types, cloud services like AWS, Azure, and GCP, and be ready to discuss how you can help teams leverage their data effectively.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Git, IaC, and data pipeline creation. Bring examples of your past work, especially any experience with Apache Spark or Databricks, and be ready to explain your approach to deploying infrastructure and handling errors.
✨Communicate Clearly
You’ll need to present complex ideas simply, so practice explaining end-to-end data processing systems and diagramming notations like C4 or UML. This will show that you can be a trusted advisor and communicate effectively with both technical and non-technical stakeholders.
✨Emphasise Your Agile Experience
Highlight your experience with agile methodologies such as Scrum or Kanban. Be ready to discuss how you've applied these practices in previous projects, particularly in a data context, and how they can improve project resilience and team collaboration.