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For Companies At a Glance
- Tasks: Join a dynamic team to build and enhance customer data platforms.
- Company: Be part of a leading telecoms company revolutionizing the industry with flexibility.
- Benefits: Enjoy fully remote work with monthly travel expenses covered.
- Why this job: Make an impact by improving data models in a collaborative environment.
- Qualifications: 4+ years in SQL, Python, DBT, and cloud technologies like Snowflake.
- Other info: Engage in a structured interview process to showcase your skills.
The predicted salary is between 60000 - 70000 ÂŁ per year.
Senior Analytics Engineer
Hillingdon – Once a month in office
Up to ÂŁ75,000
Company Overview
Join a fast-growing telecom startup backed by a major industry player. This company is on a mission to revolutionise the mobile industry by prioritising value, flexibility, and mutuality. With an abundance of rich data sets, this is an exciting opportunity for data professionals who thrive on working with large and complex data systems.
This mobile network is known for its unique community-led model, where members help each other with support and even contribute ideas for new features!
The Opportunity
The Data Engineering function is responsible for constructing analytics pipelines and supporting operations across different teams. Currently, they are developing a new metrics catalog within an analytical database, aiming to fully automate the process to integrate seamlessly into regular operations.
In this day to day, you will:
- Designing and developing high-quality data pipelines using DBT and Python.
- Migrating reports from SQL Server to Snowflake.
- Understanding and modeling data points to implement efficient solutions in Snowflake.
- Supporting the build-out of the data warehouse.
- Implementing CI/CD pipelines for streamlined deployment processes.
What You Will Bring
We\’re looking for someone who loves working with data and enjoys solving complex problems.
Must-Haves:
- Solid experience in data modeling (think Data Vault, Kimball, or similar approaches).
- Extensive experience working as a Data Engineer or Analytics Engineer.
- Strong skills in DBT and SQL – you’ll be using these every day!
- Hands-on experience with cloud data warehouses like Snowflake, GCP, Redshift, or BigQuery.
Nice-to-Haves:
- Familiarity with CI/CD pipelines – if you’ve set up automated deployments, even better.
- Understanding of attribution models – knowing how to track and optimise performance is a plus.
- Some exposure to Kafka for real-time streaming – if you’ve worked with it, that’s a great bonus!
Why Join?
This is a fantastic opportunity to be part of an innovative telecom company that values data-driven decision-making and cutting-edge technology. If you are passionate about analytics engineering and want to work with rich datasets in a collaborative environment, this could be the perfect role for you!
- Eco-Friendly Efforts! 🌍 – The company promotes sustainability by encouraging customers to buy refurbished phones and recycle old devices through its phone recycling program.
- Award-Winning Network! 🏆 – This mobile provider has won multiple awards for customer satisfaction and value, often beating big-name competitors in mobile network rankings.
- Powered by a Major Network! 📡 – While operating independently, this provider runs on a well-established network, ensuring solid coverage across the UK.
Senior Analytics Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨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 in product analytics during the interview. Think of specific examples where you improved data models or worked with cross-functional teams, as this will demonstrate your ability to contribute effectively.
✨Tip Number 3
Since communication is key for this role, practice articulating complex technical concepts in a simple way. This will help you during the culture fit interview, where they’ll assess how well you can collaborate with team members and stakeholders.
✨Tip Number 4
Research the company’s approach to flexibility and innovation in the telecoms industry. Being able to align your values with theirs and showing genuine interest in their mission can make a positive impression during your interviews.
We think you need these skills to ace Senior Analytics Engineer
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 emphasize your relevant experience in analytics engineering, particularly your work with data platforms like Snowflake and your proficiency in the required technologies. 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 understanding of the company's mission. Mention how your background aligns with their goals and how you can contribute to building their customer data platform.
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, especially those involving ELT pipelines and product analytics, and think about how you can demonstrate your team-player attitude.
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 building efficient ELT pipelines and working with Snowflake. This will help you feel more confident and perform better.
✨Communicate Effectively
Strong communication skills are essential for this role. Be ready to explain your thought process clearly during the technical interview and how you collaborate with team members and stakeholders in previous roles.
✨Understand the Company Culture
Research the company's flexible approach and values before the culture fit interview. Think about how your personal values align with theirs and be ready to share examples of how you've contributed to a positive team environment in the past.
