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- Tasks: Join a remote team to design data models and support ELT pipelines.
- Company: A leading telecoms company expanding into new markets with a tech-driven approach.
- Benefits: Earn up to £65,000 plus fantastic extra benefits.
- Why this job: Work with rich data sets and empower teams to make data-driven decisions.
- Qualifications: Strong SQL/Python skills and experience with Snowflake or DBT required.
- Other info: This role is primarily remote, offering flexibility and work-life balance.
The predicted salary is between 48000 - 72000 £ per year.
ANALYTICS ENGINEER £60,000-£65,000 + BENEFITS PIMARILY REMOTE An opportunity to join a popular telecoms company expanding into new markets! THE COMPANY: Over the past few years, this telecoms company has expanded and focused on a product technology led approach. With a rich data set, they have lots of data to work with and are keen to bring in an Analytics Engineer to help with data modelling and transformation. THE ROLE: A remote working 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 teams YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will have the following skills and experience: Ability and experience interacting with key stakeholders 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 £65,000 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. …
Analytics Engineer employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Familiarize yourself with the specific data tools mentioned in the job description, like Snowflake and DBT. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight your experience in building data models and working with ELT pipelines during your conversations. Be ready to discuss specific examples where you've successfully implemented these processes in previous roles.
✨Tip Number 3
Prepare to demonstrate your ability to communicate effectively with stakeholders. Think of instances where you've translated complex data insights into actionable strategies for non-technical teams.
✨Tip Number 4
Stay updated on the latest trends in data analytics and cloud technologies. Showing that you're proactive about learning and adapting can impress potential employers and show your commitment to the field.
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data transformation tools like DBT. Emphasize any relevant projects or roles that demonstrate your ability to design and build data models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with their needs, particularly in data modeling and working with cloud technologies like Snowflake.
Showcase Your Technical Skills: Include specific examples of your experience with ELT pipelines and data ingestion processes. Highlight any successful projects where you empowered teams to make data-driven decisions.
Follow Application Instructions: Ensure you send your application via the specified link and address it to Molly Bird. Double-check that your documents are formatted correctly and free of errors before submission.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and data transformation tools like DBT. Bring examples of past projects where you designed data models or built ELT pipelines to demonstrate your expertise.
✨Understand the Company’s Data Needs
Research the telecoms company and its recent expansions. Understand their product technology approach and think about how your skills can help them leverage their rich data set effectively.
✨Prepare for Stakeholder Interaction
Since the role involves interacting with key stakeholders, practice articulating your ideas clearly and concisely. Be ready to discuss how you’ve successfully collaborated with teams in the past to drive data-driven decisions.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy, the tools they use, and how the Analytics Engineer role fits into their overall goals. This shows your genuine interest and helps you assess if the company is the right fit for you.
