At a Glance
- Tasks: Transform and model data using advanced analytics techniques and tools.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on cutting-edge technology.
- Why this job: Make an impact by optimising data workflows and contributing to exciting projects.
- Qualifications: 3+ years in analytics or data engineering with strong SQL skills.
The predicted salary is between 55000 - 70000 £ per year.
3+ years of experience in analytics or data engineering, with a strong emphasis on data transformation and modelling using dbt.
Advanced proficiency in SQL, including complex query development, performance tuning, and data modelling.
Solid understanding of ELT methodologies, with experience building scalable and high-quality data models in cloud data warehouses such as BigQuery.
Experience applying software engineering best practices to data workflows, including version control (Git), CI/CD pipelines, and reusable code frameworks.
Hands-on experience with workflow orchestration tools such as Airflow or Composer, along with strong exposure to cloud platforms, particularly GCP.
Senior Analytics - Engineer in London employer: Mpower Plus UK Ltd
Join a forward-thinking company that values innovation and collaboration, where as a Senior Analytics Engineer, you will thrive in a dynamic work culture that encourages continuous learning and professional growth. With access to cutting-edge technology and a commitment to employee development, you'll be part of a team that not only values your expertise but also supports your career aspirations in a vibrant location known for its tech-driven environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics - Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics and data engineering space. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data transformation and modelling projects. Use platforms like GitHub to share your code and demonstrate your SQL prowess. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your ELT methodologies and be ready to discuss your experience with tools like dbt and Airflow. Practise explaining complex concepts in simple terms – it shows you really understand your stuff.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace Senior Analytics - Engineer in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 3+ years of experience in analytics or data engineering. We want to see how you've tackled data transformation and modelling, especially using dbt. Don't hold back on those impressive projects!
SQL Skills are Key:Since advanced proficiency in SQL is a must, showcase your skills with complex queries and performance tuning. We love seeing examples of how you've optimised data models, so include any relevant achievements in your application.
Talk About ELT Methodologies:We’re keen on your understanding of ELT methodologies. Share your experiences building scalable data models in cloud data warehouses like BigQuery. This will help us see how you can contribute to our team right away!
Best Practices Matter:Don’t forget to mention your familiarity with software engineering best practices! If you've worked with version control (Git), CI/CD pipelines, or workflow orchestration tools like Airflow, let us know. It shows you're ready to hit the ground running!
How to prepare for a job interview at Mpower Plus UK Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in data transformation and modelling, especially using dbt. Brush up on your SQL skills, focusing on complex queries and performance tuning, as these will likely come up during the interview.
✨Showcase Your ELT Expertise
Be prepared to discuss your experience with ELT methodologies. Have examples ready of how you've built scalable data models in cloud data warehouses like BigQuery, as this will demonstrate your hands-on experience.
✨Highlight Software Engineering Practices
Talk about how you apply software engineering best practices to your data workflows. Mention your familiarity with version control systems like Git, CI/CD pipelines, and reusable code frameworks to show you’re not just a data expert but also a software-savvy engineer.
✨Familiarity with Workflow Orchestration Tools
If you’ve worked with tools like Airflow or Composer, make sure to highlight that experience. Discuss how you’ve used these tools in past projects, particularly in relation to GCP, to illustrate your ability to manage complex data workflows.
