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- Tasks: Lead the development of data models and create efficient transformation pipelines.
- Company: Harnham, a growing analytics firm in Greater London.
- Benefits: Hybrid work model, competitive salary, and opportunities for mentorship.
- Other info: Dynamic role with a focus on engineering excellence.
- Why this job: Join a collaborative team and make a real impact on data quality.
- Qualifications: Experience with SQL, PySpark, and Databricks; mentoring skills preferred.
The predicted salary is between 60000 - 80000 £ per year.
Harnham in Greater London is seeking an Analytics Engineer for a hybrid role in its expanding Analytics Engineering function. You will lead the development of high-quality data models and oversee the integration of complex business requirements into efficient transformation pipelines, primarily in SQL and PySpark.
The ideal candidate will have significant experience with Databricks and a focus on mentoring within a collaborative team environment that values engineering excellence and data quality.
Senior Analytics Engineer: Lakehouse Lead & Data Modeller employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer: Lakehouse Lead & Data Modeller
✨Tip Number 1
Network like a pro! Reach out to current employees at Harnham or in similar roles on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data models and transformation pipelines. We want to see how you tackle complex business requirements, especially with SQL and PySpark.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Databricks knowledge and SQL queries. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Analytics Engineer: Lakehouse Lead & Data Modeller
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, PySpark, and Databricks in your application. We want to see how you've used these tools to create data models and transformation pipelines in the past.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior Analytics Engineer role. We love seeing how you align with our values and the job description.
Share Your Mentoring Experience: Since we value collaboration and mentoring, include examples of how you've supported others in your team. This shows us you're not just a tech whiz but also a great team player!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in SQL, PySpark, and Databricks. Brush up on your technical skills and be ready to discuss how you've used these tools in past projects. Prepare to explain your thought process when developing data models and transformation pipelines.
✨Showcase Your Mentoring Skills
Since the role involves mentoring, think of examples where you've guided others or contributed to a collaborative team environment. Be prepared to share how you fostered engineering excellence and improved data quality within your team.
✨Understand the Business Context
Research Harnham and its analytics function. Understand their business model and how your role as an Analytics Engineer fits into their goals. This will help you articulate how you can add value and integrate complex business requirements effectively.
✨Prepare Questions That Matter
Have insightful questions ready for your interviewers. Ask about their current challenges in analytics engineering or how they measure success in data modelling. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.