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- Tasks: Design and build data models, support ELT pipelines, and empower teams with data insights.
- Company: Join a popular telecoms company expanding into new markets.
- Benefits: Competitive salary up to £75,000 plus fantastic extra benefits.
- Other info: Great opportunity for career growth in a dynamic industry.
- Why this job: Make an impact with rich data sets in a remote working environment.
- Qualifications: Experience in data modelling, SQL/Python, and cloud tech like Snowflake.
The predicted salary is between 70000 - 75000 £ per year.
An opportunity to join a popular telecoms company expanding into new markets!
THE COMPANY: Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.
THE ROLE: A remote working Senior Analytics Engineer will need to:
- Design and build data models
- Support implementation and maintenance of ELT pipelines
- Ingest data into Snowflake
- Transform data using DBT
- Empower teams to make data driven decisions
YOUR SKILLS AND EXPERIENCE: A successful Senior Analytics Engineer will have the following skills and experience:
- Ability and experience interacting with key stakeholders
- Data modelling techniques - e.g. DataVault, Kimball etc.
- Strong experience in SQL/Python
- Data Cloud Tech experience - e.g. Snowflake/BigQuery/Databricks
- Data transformation experience using DBT
THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £75,000. On top of the salary there are some fantastic extra benefits.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Senior Analytics Engineer (dbt & snowflake) employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer (dbt & snowflake)
✨Tip Number 1
Network like a pro! Reach out to your connections in the telecoms industry or related fields. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and transformations. This is your chance to demonstrate your expertise in SQL, Python, and DBT to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your data modelling techniques. Be ready to discuss your experience with DataVault and Kimball methods, as well as how you’ve tackled real-world data challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Analytics Engineer (dbt & snowflake)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data modelling and transformation. We want to see how your skills in SQL, Python, and tools like Snowflake and DBT shine through!
Showcase Your Projects: Include specific examples of projects where you've designed data models or built ELT pipelines. This helps us understand your hands-on experience and how you can empower teams with data.
Engage with Stakeholders: Mention any experience you have interacting with key stakeholders. We love to see how you’ve collaborated with others to drive data-driven decisions in your previous roles.
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 this exciting opportunity.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Models
Make sure you brush up on data modelling techniques like DataVault and Kimball. Be ready to discuss how you've applied these in your previous roles, as the company will want to see your practical experience in designing and building data models.
✨Showcase Your Technical Skills
Prepare to demonstrate your strong SQL and Python skills. You might be asked to solve a problem or explain how you've used these languages in data transformation tasks, especially with tools like DBT and Snowflake.
✨Engage with Stakeholders
Since interacting with key stakeholders is crucial, think of examples where you've successfully communicated complex data insights. This will show that you can empower teams to make data-driven decisions, which is a big part of the role.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and future projects. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.