At a Glance
- Tasks: Transform and manage data to build a cutting-edge customer data platform.
- Company: Join a leading telecoms company revolutionising the industry with flexibility.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Be part of a dynamic team making impactful changes in data analytics.
- Qualifications: 3+ years experience in SQL, Python, and cloud technologies.
The predicted salary is between 60000 - 75000 € per year.
Salary: £60,000 - £75,000 (dependent on experience)
Insight into the Company:
This organisation is a large telecoms organisation that is looking to change the industry through their flexible approach! As an Analytics Engineer on their team, you will work to build the customer data platform.
The ideal candidate will be a team-player, working in a team of 10, working with and supporting different data workstreams. You will have strong communication skills to work within the team and also with stakeholders. The role will involve improving existing models to ensure they are efficient and scaled.
Role and Responsibilities:
- You will ingest and transform data in Snowflake using DBT
- You will support the building of the data warehouse in Snowflake
- You will work to sustain and implement existing ELT pipelines
Skills and Experience:
Essential to have 3+ years experience in:
- SQL
- Python
- DBT
- Cloud techs such as Snowflake, BigQuery or Databricks
- Dimensional Modelling such as Kimball
Desirable to have experience with:
- CI/CD pipelines
- Kafka; real-time streaming
- Snowflake as a data warehouse
Interview Process:
There are 4 stages to the process:
- A 30 minute discussion about experience
- An hour take home exercise
- A technical interview with the Data Director and Analytics Engineer
(197397) Analytics Engineer in Manchester employer: LinkedIn
As a leading telecoms organisation, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our Analytics Engineers enjoy competitive salaries, flexible working arrangements, and ample opportunities for professional growth within a supportive team environment. Join us in revolutionising the industry while benefiting from our commitment to employee development and a forward-thinking approach to technology.
StudySmarter Expert Advice🤫
We think this is how you could land (197397) Analytics Engineer in Manchester
✨Tip Number 1
Get to know the company inside out! Research their projects, values, and culture. This will help you tailor your conversations during interviews and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice makes perfect! Prepare for the technical interview by brushing up on your SQL, Python, and DBT skills. Work through some sample problems or projects to showcase your expertise and confidence.
✨Tip Number 3
Don’t underestimate the power of networking! Connect with current employees on LinkedIn or attend industry events. This can give you insider tips and potentially a referral, which can really boost your chances.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace (197397) Analytics Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Python, and DBT. We want to see how your skills align with the role of Analytics Engineer, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our team. Remember, we love a good story, so share your journey in data analytics!
Showcase Teamwork Skills:Since we’re all about collaboration, make sure to mention any experiences where you’ve worked effectively in a team. Highlight your communication skills and how you’ve supported others in achieving common goals.
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 a few clicks and you’re done!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and DBT skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to data ingestion and transformation.
✨Showcase Your Team Spirit
Since this role involves working closely with a team of 10, highlight your experience in collaborative projects. Share examples of how you've supported colleagues or worked with stakeholders to achieve common goals.
✨Prepare for Technical Questions
Expect technical questions during the interview, especially from the Data Director. Review key concepts related to Snowflake, ELT pipelines, and dimensional modelling. Practising coding problems can also help you feel more confident.
✨Ace the Take-Home Exercise
The take-home exercise is a crucial part of the process. Make sure you allocate enough time to complete it thoroughly. Focus on clarity and efficiency in your solutions, and don't hesitate to document your thought process.
