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- Tasks: Lead the development of data models and integrate complex business requirements.
- 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 professional growth in analytics engineering.
- Why this job: Join a collaborative team and make an impact on data quality and engineering excellence.
- Qualifications: Experience with Databricks, SQL, and PySpark; 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and transformation pipelines. This is your chance to shine and demonstrate your expertise in SQL and PySpark.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics engineering questions. Think about how you can discuss your experience with Databricks and mentoring others in a collaborative environment.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it makes it easier for us to find your application.
We think you need these skills to ace Senior Analytics Engineer: Lakehouse Lead & Data Modeller in London
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 efficient data models and transformation pipelines.
Be a Team Player: Since we value collaboration, share examples of how you've mentored others or worked within a team. This will show us that you can thrive in our supportive environment.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Analytics Engineer role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in SQL and PySpark, as these are key to the role. Brush up on your Databricks knowledge too, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Mentoring Skills
Since the role involves mentoring, think of examples where you've guided others or contributed to a team’s growth. Be prepared to share how you foster collaboration and support your colleagues.
✨Understand Business Requirements
Get familiar with how to translate complex business needs into data models. Prepare to discuss specific instances where you’ve successfully integrated business requirements into your work.
✨Emphasise Engineering Excellence
Highlight your commitment to data quality and engineering best practices. Bring examples of how you’ve ensured high standards in your previous roles, and be ready to discuss your approach to maintaining these standards.