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- Tasks: Join a dynamic team to build and enhance our customer data platform.
- Company: Be part of a leading telecoms company revolutionizing the industry with flexibility.
- Benefits: Enjoy fully remote work with a competitive salary and a collaborative environment.
- Why this job: Make an impact by improving data models and working with innovative technologies.
- Qualifications: 4+ years in SQL, Python, DBT, and cloud tech like Snowflake or BigQuery required.
- Other info: Engage in a structured interview process to showcase your skills and fit.
The predicted salary is between 60000 - 67000 £ per year.
Role: Senior Product Analytics Engineer FULLY REMOTE (1x month in Uxbridge)
Salary: £60,000 – £67,000 (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 4+ years experience in:
SQL
Python
DBT
Cloud techs such as Snowflake, BigQuery or Databricks
Product Analytics
Experience working with data product teams
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
# One hour culture fit interview
BI Engineer - FULLY REMOTE employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI Engineer - FULLY REMOTE
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like Snowflake and DBT. Having hands-on experience or projects that showcase your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Prepare to discuss your previous experiences with product analytics in detail. Think of specific examples where you improved data models or worked closely with data product teams, as this will demonstrate your relevant expertise.
✨Tip Number 3
Since communication is key for this role, practice articulating your thoughts clearly and concisely. You might be asked to explain complex technical concepts during the interviews, so being able to communicate effectively with both technical and non-technical stakeholders is crucial.
✨Tip Number 4
Research the company’s approach to flexibility and innovation in the telecoms industry. Being knowledgeable about their mission and values will help you align your answers during the culture fit interview, showing that you are a great match for their team.
We think you need these skills to ace BI Engineer - FULLY REMOTE
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Product Analytics Engineer position. Highlight the key responsibilities and required skills, such as experience with SQL, Python, and DBT, to tailor your application accordingly.
Tailor Your CV: Customize your CV to reflect your relevant experience in analytics engineering, particularly focusing on your work with data platforms like Snowflake and your familiarity with product analytics. Use specific examples that demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the telecom industry and your ability to work collaboratively in a team. Mention how your background aligns with the company's flexible approach and your enthusiasm for improving data models.
Prepare for Interviews: Anticipate the interview stages by preparing for both technical questions and discussions about your experience. Be ready to explain your previous projects involving ELT pipelines and cloud technologies, and think of examples that demonstrate your communication skills with stakeholders.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, and DBT during the interview. Be prepared to discuss specific projects where you've used these technologies, especially in relation to data ingestion and transformation.
✨Demonstrate Team Collaboration
Since the role involves working closely with a team of 10, emphasize your ability to collaborate effectively. Share examples of how you've supported different data workstreams and communicated with stakeholders in previous roles.
✨Prepare for the Take-Home Exercise
The take-home exercise is a crucial part of the interview process. Make sure to allocate enough time to complete it thoroughly. Focus on demonstrating your analytical skills and your ability to build efficient models.
✨Cultural Fit Matters
During the culture fit interview, be yourself! Research the company's values and think about how they align with your own. Be ready to discuss what makes you a good fit for their flexible and innovative approach.
