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- Tasks: Build and maintain scalable data pipelines for cutting-edge fintech solutions.
- Company: Leading fintech company in Greater London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of banking with your data expertise.
- Qualifications: 5+ years in data engineering, strong SQL and Python skills, AWS and Databricks knowledge.
The predicted salary is between 48000 - 72000 £ per year.
A leading fintech company in Greater London is seeking a Data Engineer to develop and maintain scalable data pipelines, ensuring quality and availability for analytics.
The ideal candidate has over 5 years of relevant experience, with expertise in SQL and Python, and is familiar with AWS services and Databricks.
This hybrid position offers the chance to contribute to innovative banking solutions and requires a Bachelor's Degree or sufficient relevant experience.
Senior Analytics Engineer: DataOps & Cloud Pipelines employer: Pismo
Contact Detail:
Pismo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer: DataOps & Cloud Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with data pipelines. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. This is your chance to demonstrate your expertise in building scalable data pipelines and using AWS services.
✨Tip Number 3
Prepare for interviews by brushing up on common DataOps questions. We recommend practising how you’d explain your experience with Databricks and cloud technologies—confidence is key!
✨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 Analytics Engineer: DataOps & Cloud Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and any relevant AWS services. We want to see how your skills align with the role of a Senior Analytics Engineer, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Let us know what excites you about working in fintech!
Showcase Your Projects: If you've worked on any cool data pipelines or analytics projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve Databricks or similar tools.
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 Pismo
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to data pipelines and analytics.
✨Familiarise Yourself with AWS and Databricks
Since the role involves working with AWS services and Databricks, take some time to review their functionalities. Prepare to explain how you've leveraged these tools in past projects to enhance data quality and availability.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach common challenges in DataOps and cloud pipelines, and articulate your thought process clearly.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This shows your genuine interest and helps you assess if the company is the right fit for you.