At a Glance
- Tasks: Design and build a cloud-native AWS data platform for a major data transformation project.
- Company: Brio Digital, working with a leading UK organisation on innovative data solutions.
- Benefits: Competitive daily rate of £650, remote work, and potential for contract extension.
- Other info: Opportunity to work on a greenfield MVP with significant career growth potential.
- Why this job: Join a dynamic team and lead the technical delivery of a groundbreaking project.
- Qualifications: Experience with AWS data platforms, Python, and serverless architectures required.
The predicted salary is between 60000 - 80000 £ per year.
Brio Digital are working with a major UK organisation embarking on a strategic data transformation project to modernise a business-critical operational platform. The project focuses on replacing manual, spreadsheet-driven processes with a scalable, cloud-native solution that will automate high-volume invoicing and operational workflows used across the business. This is a greenfield MVP with the potential to expand into a much larger programme of work.
You'll join a cross-functional delivery team alongside Solution Architects, Technical Analysts, Project Managers, and Data specialists, taking ownership of the platform's technical design and engineering.
Principal Data Engineer Responsibilities:- Design and build a cloud-native AWS data platform
- Lead technical delivery of the MVP
- Build scalable serverless data pipelines and APIs
- Design secure, resilient event-driven architectures
- Collaborate with Architecture, Platform, Security and Data teams
- Implement IaC, CI/CD and monitoring
Liaising with other teams is a key part of this position, so solid communication skills are a must.
Data Engineer Key Skills Required:- Enterprise AWS data platform experience
- Python
- Serverless AWS
- Event-driven architecture
- Terraform or CloudFormation
- CI/CD and enterprise security
AWS: Lambda, Step Functions, DynamoDB, S3, EventBridge, SNS, SQS, API Gateway, IAM, Glue, Redshift, Lake Formation, CloudWatch
Contract: £650/day | Outside IR35 | Initial 3 months
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer in Leeds
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
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We think you need these skills to ace Principal Data Engineer in Leeds
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Principal Data Engineer at Brio Digital, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Brio Digital.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Brio Digital
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
