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For Companies At a Glance
- Tasks: Optimise data pipelines and collaborate with teams to deliver impactful analytics solutions.
- Company: Leading recruitment firm known for innovation and teamwork.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Take ownership of data solutions and make a real difference in a dynamic environment.
- Qualifications: Strong SQL and Python skills, experience with ETL/ELT, and proficiency in BI tools.
- Other info: Join a vibrant team and enhance your career in analytics engineering.
The predicted salary is between 43200 - 72000 £ per year.
A leading recruitment firm is seeking a Senior Analytics Engineer in London for a hybrid role. The position blends data analysis and engineering, involving the optimization of data pipelines and collaboration with cross-functional teams.
Candidates should possess strong SQL and Python skills, experience with ETL/ELT pipelines, and proficiency in BI tools like Power BI. This role is ideal for professionals who enjoy end-to-end ownership of data solutions and have experience in product-centric environments.
Senior Analytics Engineer - Hybrid London Data Pipelines employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - Hybrid London Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Senior Analytics Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and analytics projects. This is your chance to demonstrate your SQL and Python prowess, as well as your experience with BI tools like Power BI.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to ETL/ELT processes and be ready to discuss how you've optimised data solutions in past roles. We want you to shine when it comes to demonstrating your end-to-end ownership of data.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for the Senior Analytics Engineer position. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Senior Analytics Engineer - Hybrid London Data Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in real-world scenarios, especially when it comes to optimising data pipelines.
Tailor Your Experience: When you’re writing your application, tailor it to reflect your experience with ETL/ELT processes and BI tools like Power BI. We love seeing how your background aligns with the role!
Collaboration is Key: Don’t forget to mention any experience you have working with cross-functional teams. We value collaboration, so share examples of how you’ve worked with others to achieve data solutions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Data Pipelines
Make sure you brush up on your knowledge of data pipelines, especially ETL/ELT processes. Be ready to discuss how you've optimised these in past roles and share specific examples of challenges you've faced and how you overcame them.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your SQL and Python expertise during the interview. You might be asked to solve a problem on the spot, so practice common queries and coding challenges beforehand to show off your skills confidently.
✨Familiarise Yourself with BI Tools
Since proficiency in BI tools like Power BI is crucial, take some time to explore recent features or updates. Be ready to discuss how you've used these tools to derive insights from data and how they can benefit the team.
✨Emphasise Collaboration
This role involves working with cross-functional teams, so highlight your experience in collaborative projects. Share examples of how you've effectively communicated with different stakeholders and contributed to successful outcomes.
