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- Tasks: Join a dynamic team to build and enhance customer data platforms using cutting-edge tech.
- Company: Be part of a leading telecoms company revolutionizing the industry with flexibility and innovation.
- Benefits: Enjoy fully remote work with occasional meet-ups, competitive salary, and a collaborative culture.
- Why this job: Make an impact in product analytics while working with a supportive team and modern tools.
- Qualifications: 4+ years in SQL, Python, DBT, and cloud technologies like Snowflake or BigQuery required.
- Other info: Engage in a structured interview process to showcase your skills and fit for the team.
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
AWS Engineer - Remote Working employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Engineer - Remote Working
✨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 during the interview process.
✨Tip Number 2
Prepare to discuss your previous experiences with product analytics and how you've contributed to data product teams. Be ready to share specific examples of how your work has impacted business decisions or improved processes.
✨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 to non-technical stakeholders, so being able to simplify your explanations will be beneficial.
✨Tip Number 4
Research the company’s approach to flexible working and their vision for changing the telecoms industry. Showing that you understand their mission and values can help you connect with the interviewers and demonstrate your enthusiasm for the role.
We think you need these skills to ace AWS Engineer - Remote Working
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.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 4+ years of experience in analytics, particularly with cloud technologies like Snowflake or BigQuery. Provide specific examples of projects where you ingested and transformed data or improved existing models.
Showcase Communication Skills: Since strong communication skills are essential for this role, include examples in your application that demonstrate your ability to work collaboratively within a team and effectively communicate with stakeholders.
Prepare for the Interview Stages: Familiarize yourself with the interview process outlined in the job description. Prepare for each stage by practicing common interview questions, especially those related to technical skills and cultural fit.
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.
✨Prepare for the Take-Home Exercise
The take-home exercise is a crucial part of the interview process. Practice similar exercises beforehand, focusing on data modeling and analytics. This will help you demonstrate your problem-solving skills effectively.
✨Communicate Clearly
Strong communication skills are essential for this role. During the interviews, ensure you articulate your thoughts clearly, especially when discussing how you’ve collaborated with data product teams and stakeholders in the past.
✨Understand the Company Culture
Research the company's values and culture before the culture fit interview. Be ready to discuss how your personal values align with theirs and provide examples of how you've contributed to a positive team environment in previous roles.
