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- Tasks: Engage in data modelling, coding improvements, and explore new datasets to drive insights.
- Company: Join a forward-thinking analytics team in a hybrid work environment.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration.
- Why this job: Make an impact by optimising data processes and contributing to the analytics community.
- Qualifications: Strong SQL skills and experience with GCP and DBT are essential.
The predicted salary is between 45000 - 55000 £ per year.
Location: Reading/Paddington (Hybrid 2 days a week)
Skill Set: GCP, BigQuery, SQL, DBT
Candidate must have very strong SQL experience support with DBT for data modelling and transformation.
- AE Community Engagement: Proactively shares knowledge, mentors others, and contributes to the wider analytics community.
- Coding Maintenance & Improvements: Identifies and implements opportunities to refactor and improve the existing codebase for better performance, readability, and efficiency.
- Coding Standards: Champions and enforces coding standards, ensuring the entire team produces consistent, high-quality, and well-documented code.
- Communication: Effectively communicates complex technical concepts to both technical and non-technical audiences.
- Critical Thinking: Goes beyond the immediate request to understand the underlying business problem and challenges assumptions.
- Data Exploration: Independently explores new datasets to validate quality, understand their structure, and identify potential uses.
- Data Modelling Techniques and Architecture: Designs and implements robust, scalable, and efficient data models and architectures.
- Development Lifecycle: Understands and follows the full software development lifecycle, including requirements gathering, development, testing, and deployment.
- Environment Configuration: Understands the development and production environments, and the configs within them, on the analytics platform.
- Impact Awareness: Understands the downstream impact of their work on other teams, systems, and business processes.
- Independent Working: Can take a high-level objective and break it down into smaller tasks, working autonomously to deliver the outcome.
- Industry Knowledge and Best Practice: Stays up-to-date with the latest trends, tools, and best practices in the data industry.
- Optimisation: Identifies and resolves performance bottlenecks in queries and data models.
- Quality Control & PII: Implements robust data quality testing and ensures the security and privacy of sensitive data.
- Resolving Issues: Independently and effectively troubleshoots and resolves complex technical issues.
- SQL Skills: Demonstrates advanced SQL skills, including complex joins, window functions, and performance tuning.
- Scheduling of Transformations: Manages and optimizes the scheduling and orchestration of data transformation jobs.
- Source Control: Uses Git and source control effectively for collaboration, versioning, and code management.
- Technical Debt: Identifies and prioritizes the reduction of technical debt in the analytics codebase.
Analytical Engineer employer: Ubique Systems
Contact Detail:
Ubique Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytical Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your SQL and GCP skills—show them! Create a portfolio of projects or contributions to open-source work. This gives potential employers a real taste of what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for those interviews by practising common questions and scenarios related to data modelling and analytics. Be ready to explain your thought process and how you tackle problems—this is where your critical thinking skills shine!
✨Apply Through Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us; it’s the best way to get noticed and land that dream job as an Analytical Engineer!
We think you need these skills to ace Analytical Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytical Engineer role. Highlight your experience with GCP, BigQuery, SQL, and DBT. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific projects where you've demonstrated your SQL prowess and data modelling techniques. We love seeing real examples of your work that show off your coding standards and critical thinking.
Be Clear and Concise: When writing your cover letter or application, keep it clear and to the point. We appreciate straightforward communication, especially when explaining complex technical concepts.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Ubique Systems
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex joins, window functions, and performance tuning. Practising real-world scenarios can help you articulate your thought process when solving SQL-related problems.
✨Show Off Your GCP Knowledge
Since the role requires strong GCP experience, familiarise yourself with its features and how they relate to data modelling and transformation. Be ready to share examples of how you've used GCP in past projects, especially with BigQuery and DBT.
✨Communicate Clearly
You’ll need to explain complex technical concepts to both technical and non-technical audiences. Practice simplifying your explanations and think of examples where you’ve successfully communicated intricate ideas in a straightforward manner.
✨Demonstrate Critical Thinking
Prepare to discuss how you approach problem-solving beyond just the immediate request. Think about times when you identified underlying business issues and how you tackled them. This will show your potential employer that you can think critically and strategically.