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- Tasks: Lead data centralisation and analytics using an innovative ETL-driven platform.
- Company: Established industry player with a passion for data engineering.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data-driven decision-making in diverse sectors.
- Qualifications: Strong SQL skills and experience with cloud technologies.
- Other info: Join a rapidly growing team dedicated to impactful data solutions.
The predicted salary is between 48000 - 72000 £ per year.
An established industry player is seeking a Senior Data Consultant to drive data centralization and analytics using an innovative ETL-driven platform. This role focuses on building scalable data infrastructures and delivering actionable insights across diverse sectors, including B2B SaaS and retail. With a strong emphasis on financial data, you will leverage your SQL expertise and cloud technologies to enable clients to make informed decisions. Join a rapidly growing team passionate about data engineering and analytics, and play a key role in shaping the future of data-driven decision-making.
Senior Data Consultant: Analytics Engineering Lead in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Consultant: Analytics Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to connections in the data engineering and analytics space. Attend industry meetups or webinars to meet potential employers and showcase your passion for data.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your SQL expertise and any projects you've worked on. This is your chance to demonstrate how you can drive data centralization and deliver actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on cloud technologies and ETL processes. Be ready to discuss how you've built scalable data infrastructures in the past and how you can apply that experience to the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Consultant: Analytics Engineering Lead in London
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used it to drive data centralization and deliver insights in your previous roles.
Tailor Your Experience: When writing your application, focus on your experience with scalable data infrastructures and analytics. We’re looking for specific examples that demonstrate your impact in B2B SaaS or retail sectors.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and make your achievements easy to understand.
Apply Through Our Website: Don’t forget to apply 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 SQL Inside Out
As a Senior Data Consultant, your SQL skills will be under the spotlight. Brush up on complex queries, joins, and data manipulation techniques. Be ready to discuss how you've used SQL in past projects to drive insights and support decision-making.
✨Familiarise Yourself with ETL Processes
Since the role involves an innovative ETL-driven platform, make sure you understand the fundamentals of ETL processes. Prepare to share examples of how you've implemented ETL solutions in previous roles and the impact they had on data centralisation.
✨Showcase Your Cloud Technology Knowledge
Cloud technologies are key in this position. Familiarise yourself with the specific cloud platforms mentioned in the job description. Be prepared to discuss how you've leveraged these technologies to build scalable data infrastructures and deliver actionable insights.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in data engineering and analytics, and how you overcame them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
