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- Tasks: Build scalable ELT/ETL pipelines and optimise data models using cloud technologies.
- Company: Leading analytics firm in the UK with a supportive culture.
- Benefits: Opportunities for professional growth and a collaborative work environment.
- Why this job: Make a genuine impact with data and shape the data strategy.
- Qualifications: 2+ years of experience in data engineering and strong data quality skills.
- Other info: Join a dynamic team focused on innovation and excellence.
The predicted salary is between 28800 - 43200 £ per year.
A leading analytics firm in the UK is seeking a Data Engineer with 2+ years of experience to join their team. The successful candidate will help shape the data strategy and build scalable ELT/ETL pipelines using cloud technologies.
Responsibilities include:
- Optimizing data models
- Ensuring data quality
The role offers significant opportunities for professional growth in a supportive environment. If you’re looking to make a genuine impact with data, this could be the right opportunity for you.
Data Engineer: Build Scalable Pipelines & Insights in Bury employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines & Insights in Bury
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially those in data roles. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving scalable pipelines or cloud technologies. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the technical interview! Brush up on your ELT/ETL knowledge and be ready to discuss how you've optimised data models in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines & Insights in Bury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ELT/ETL pipelines and cloud technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our data strategy. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data quality or model optimisation. We’re looking for candidates who can think critically and creatively, so let us know how you’ve made an impact in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Tools
Make sure you’re familiar with the cloud technologies and tools mentioned in the job description. Brush up on your knowledge of ELT/ETL processes and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've optimised data models or ensured data quality in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Data Strategy
Research the analytics firm and their approach to data strategy. Be prepared to discuss how you can contribute to shaping their data initiatives and what innovative ideas you might bring to the table.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, growth opportunities, and the company’s future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
