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- Tasks: Design and build data models, support ELT pipelines, and transform data using DBT.
- Company: Join a popular telecoms company expanding into new markets.
- Benefits: Salary up to £75,000 plus fantastic extra benefits.
- Other info: Empower teams to make data-driven decisions in a dynamic environment.
- Why this job: Make a real impact with rich data sets in a remote role.
- Qualifications: Experience in SQL/Python, data modelling, 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) in Cardiff 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) in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got a portfolio or any projects that highlight your data modelling and transformation prowess, make sure to share them during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for the technical interview! Brush up on SQL, Python, and DBT. Practising common data engineering problems can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
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 is tailored to the Senior Analytics Engineer role. Highlight your experience with data modelling, ELT pipelines, and tools like Snowflake and DBT. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed data models or transformed data using DBT. This gives us a clear picture of your hands-on experience and how you can empower teams with data-driven insights.
Engage with Stakeholders: Mention any experience you have interacting with key stakeholders. We value communication skills, so sharing examples of how you've collaborated with others will definitely catch our eye!
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 the role. We can't wait to see what you bring to the table!
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 this will show your depth of knowledge and practical experience.
✨Showcase Your Technical Skills
Prepare to demonstrate your SQL and Python skills during the interview. You might be asked to solve a problem or explain how you've used these languages in data transformation and ELT pipelines, so have some examples ready.
✨Engage with Stakeholders
Since interacting with key stakeholders is crucial for this role, think of instances where you've successfully communicated complex data insights. This will highlight your ability to empower teams and make data-driven decisions.
✨Familiarise Yourself with Snowflake and DBT
As you'll be working with Snowflake and DBT, ensure you're comfortable discussing your experience with these tools. If possible, prepare a mini-case study of a project where you ingested and transformed data using these technologies.