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- Tasks: Lead the design of analytics-ready data models and mentor your team.
- Company: Join a growing analytics engineering function in a dynamic environment.
- Benefits: Competitive salary up to £78,000, remote work options, and professional growth.
- Other info: Be part of a major Lakehouse transformation with excellent career opportunities.
- Why this job: Shape the future of data analytics and make a real impact.
- Qualifications: Strong experience in SQL, PySpark, and data modelling.
The predicted salary is between 78000 - 78000 £ per year.
This is a high impact Senior Analytics Engineer role within a growing analytics engineering function, sitting at the heart of a major Lakehouse transformation. You will play a key role in shaping how trusted, analytics ready data is modelled and served across a complex organisation, while also providing technical leadership and mentoring within the team.
ROLES AND RESPONSIBILITIES:
- Lead the design and delivery of curated, analytics ready data models within a Lakehouse environment
- Own dimensional and semantic modelling to enable consistent, trusted reporting across the business
- Build and maintain complex SQL and PySpark transformation pipelines using Databricks
- Drive data quality, testing, reliability and performance across the curated or gold data layer
- Work closely with data engineers, BI teams and business stakeholders to translate complex requirements into scalable datasets
- Provide technical leadership through design reviews, mentoring and setting analytics engineering standards
- Contribute to CI/CD and modern engineering best practices across the data platform
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience as an Analytics Engineer within a modern data platform or Lakehouse architecture
- Expert level SQL and strong hands on PySpark capability
- Proven experience designing and owning dimensional data models for analytics and reporting
- Experience working with Databricks, including pipelines and governed data environments
- Solid understanding of engineering best practices, including testing, version control and deployment
- Confidence mentoring others and taking ownership of technical direction
APPLY BELOW!
Senior Analytics Engineer - 12 month FTC in London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - 12 month FTC in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Analytics Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best SQL and PySpark projects. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data modelling and transformation pipeline knowledge. Be ready to discuss how you've driven data quality and performance in past roles, as this is key for the position.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance of being noticed by our hiring team.
We think you need these skills to ace Senior Analytics Engineer - 12 month FTC in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in SQL, PySpark, and any relevant projects you've worked on that align with our Lakehouse transformation.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Senior Analytics Engineer role. Share specific examples of how you've led data modelling projects or mentored others in your previous roles.
Showcase Your Technical Skills: Don’t shy away from detailing your technical prowess! Include any relevant certifications or projects that demonstrate your experience with Databricks and modern data platforms. We love seeing hands-on experience!
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. Plus, it’s super easy!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Models
Make sure you brush up on your knowledge of dimensional and semantic modelling. Be ready to discuss how you've designed and owned data models in the past, especially in a Lakehouse environment. This will show that you understand the core responsibilities of the role.
✨Showcase Your SQL and PySpark Skills
Prepare to demonstrate your expertise in SQL and PySpark during the interview. You might be asked to solve a problem or explain how you've built transformation pipelines using Databricks. Practising some coding challenges can help you feel more confident.
✨Discuss Collaboration and Leadership
Since this role involves working closely with data engineers and BI teams, think of examples where you've successfully collaborated on projects. Highlight any experience you have in mentoring others or leading design reviews, as this will showcase your technical leadership skills.
✨Understand CI/CD and Best Practices
Familiarise yourself with continuous integration and deployment practices, as well as modern engineering standards. Be prepared to discuss how you've implemented these in previous roles, as it demonstrates your commitment to quality and efficiency in analytics engineering.