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- Tasks: Design and build data models while transforming data using DBT and Snowflake.
- Company: Join a popular telecoms company expanding into exciting 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: Empower teams with data-driven insights in a remote working environment.
- Qualifications: Experience in SQL/Python and data modelling techniques required.
The predicted salary is between 75000 - 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:
- Ability and experience interacting with key stakeholders
- Data modelling techniques - e.g. DataVault, Kimball etc.
- Strong experience in SQL/Python
- 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.
Senior Analytics Engineer (dbt & snowflake) in Cardiff employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer (dbt & snowflake) in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the telecoms industry or those already working at the company. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data modelling and transformation projects. This will give potential employers a taste of what you can do with their rich data set.
✨Tip Number 3
Be ready for technical interviews! Brush up on your SQL and Python skills, and be prepared to discuss data modelling techniques like DataVault and Kimball. We want to see how you think and solve problems!
✨Tip Number 4
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) in Cardiff
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data modelling techniques and any relevant projects you've worked on, especially with SQL, Python, and DBT.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Senior Analytics Engineer role. Share specific examples of how you've designed data models or supported ELT pipelines in the past.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! We want to see your experience with Snowflake and DBT clearly laid out. If you have any certifications or notable projects, include those too!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Data Modelling Techniques
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 this will show your depth of knowledge and practical experience.
✨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 or explain how you've used these languages in data transformation tasks, so have some examples ready!
✨Understand ELT Pipelines
Familiarise yourself with ELT pipelines and be prepared to discuss your experience in implementing and maintaining them. This is crucial for the role, and showing that you can handle this aspect will set you apart from other candidates.
✨Engage with Stakeholders
Highlight your ability to interact with key stakeholders. Prepare examples of how you've empowered teams to make data-driven decisions, as this will demonstrate your collaborative approach and understanding of the business impact of analytics.