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- Tasks: Transform raw data into clean datasets and optimise large-scale data processing.
- Company: Join a renowned British telecoms organisation with a strong reputation.
- Benefits: Enjoy flexible working options and a supportive work environment.
- Why this job: Make an impact by bridging engineering and analytics in a dynamic role.
- Qualifications: Experience as an Analytics Engineer or Data Engineer with strong analytical skills.
- Other info: Opportunity to work with cutting-edge technologies and grow your career.
The predicted salary is between 36000 - 60000 £ per year.
Working for a renowned British telecoms organisation.
We are seeking 2x Analytics Engineers to join our team at a leading telecoms organisation. This role focuses on transforming raw data into clean, analytics-ready datasets and bridging the gap between engineering and analytics by dealing with data transformations and processes feeding end-user outputs. You will work on data transformation processes feeding end-user outputs, optimisation, ensuring accuracy, scalability, and improving performance and resource usage for large-scale data processing.
What you'll need to succeed:
- Experience working as an Analytics Engineer or similar role – working as a Data Engineer now from a background as an Analyst with a strong analytical mindset.
- Proven experience in complex data process migration projects.
- Hands-on experience working with large-scale data environments.
- Solid experience working with Python.
- Spark optimisation experience.
- Experience extracting and manipulating data with SQL.
- Strong experience with Microsoft Azure cloud-based platform.
- Expertise in setting up and managing data pipelines.
- Familiarity with dbt or similar data transformation tools.
- Knowledge of orchestration and optimisation techniques for data workflows.
- Good familiarity with Tableau – dashboard creation.
- Demonstrated ability in developing, testing, and deploying complex data models and methodologies.
- Some experience with Terraform would be nice to have.
What you'll get in return:
Flexible working options available.
Analytics Engineer (Telecoms) x2 in London employer: hays-gcj-v4-pd-online
Contact Detail:
hays-gcj-v4-pd-online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer (Telecoms) x2 in London
✨Tip Number 1
Network like a pro! Reach out to people in the telecoms industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Analytics Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data transformation projects and any dashboards you've built with Tableau. We want to see your hands-on experience in action, so make sure it’s easy for potential employers to find.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with Azure and data pipelines. We recommend practising common interview questions related to data engineering and analytics to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly. Don’t miss out on this opportunity!
We think you need these skills to ace Analytics Engineer (Telecoms) x2 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with data transformation, Python, and SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your ability to handle large-scale data environments. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how your background aligns with our needs. We appreciate straightforward communication!
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 see what you bring to the table!
How to prepare for a job interview at hays-gcj-v4-pd-online
✨Know Your Data Inside Out
Make sure you’re well-versed in the data transformation processes relevant to the role. Brush up on your experience with Python, SQL, and any tools like dbt that you’ve used. Being able to discuss specific projects where you’ve optimised data workflows will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex data migration projects you've worked on. Think of examples where you faced challenges and how you overcame them. This will demonstrate your analytical mindset and ability to bridge engineering and analytics effectively.
✨Familiarise Yourself with the Company’s Tech Stack
Research the technologies used by the telecoms organisation. If they use Microsoft Azure or have specific data orchestration tools, be ready to talk about your experience with these. Showing that you understand their environment can set you apart from other candidates.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their data pipeline management or how they approach scalability and performance optimisation. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
