At a Glance
- Tasks: Design scalable data pipelines and develop strategies for data standardization.
- Company: Join Barclays, a leading financial services provider in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and strategic decision-making.
- Why this job: Make an impact in the financial sector with cutting-edge data technologies.
- Qualifications: Experience in financial services and proficiency in Python, SQL, and AWS.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is partnering with Barclays to find a Data Strategy Engineer for their Cross Markets team in London. The successful candidate will design scalable data pipelines using AWS services and develop strategies for data standardization across applications.
This role requires experience in financial services and proficiency in data analytics, machine learning, and collaboration with stakeholders to drive strategic decisions. Strong knowledge of Python, SQL, and AWS technologies is essential to thrive in this position.
Data Strategy Engineer - Scalable Pipelines & Insights employer: hackajob
Barclays is an exceptional employer that fosters a dynamic work culture in the heart of London, offering employees the chance to engage in innovative projects within the financial services sector. With a strong emphasis on professional development and collaboration, employees benefit from extensive growth opportunities and access to cutting-edge technologies, making it an ideal environment for those looking to make a meaningful impact in data strategy and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Strategy Engineer - Scalable Pipelines & Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those who work with data. A friendly chat can open doors and give you insights that might just land you that Data Strategy Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with AWS, Python, and SQL. Include projects where you've designed scalable data pipelines or worked on data standardization – this will make you stand out!
✨Tip Number 3
Prepare for interviews by brushing up on your machine learning knowledge and how it applies to data strategy. Be ready to discuss how you've collaborated with stakeholders in the past to drive strategic decisions.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources to help you ace your application and connect with top companies like Barclays. Let’s get you that job!
We think you need these skills to ace Data Strategy Engineer - Scalable Pipelines & Insights
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Strategy Engineer role. Highlight your experience with AWS, Python, and SQL, and don’t forget to mention any relevant projects or achievements in financial services.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data strategy and how your skills align with the job. Be sure to mention your experience with data analytics and machine learning.
Showcase Collaboration Skills:Since this role involves working with stakeholders, make sure to highlight your collaboration skills. Share examples of how you've successfully worked with others to drive strategic decisions in your previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you one step closer to joining our team!
How to prepare for a job interview at hackajob
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Python, SQL, and AWS technologies. Be ready to discuss how you've used these tools in past projects, especially in the context of designing scalable data pipelines.
✨Understand Financial Services
Since this role is within the financial services sector, it’s crucial to familiarise yourself with industry-specific challenges and trends. Think about how your experience can contribute to Barclays' goals and be prepared to share relevant examples.
✨Showcase Your Analytical Skills
Prepare to demonstrate your proficiency in data analytics and machine learning. You might be asked to solve a problem or analyse a dataset during the interview, so practice explaining your thought process clearly and concisely.
✨Collaboration is Key
This role involves working closely with stakeholders, so be ready to discuss your experience in collaboration. Share examples of how you've successfully worked with teams to drive strategic decisions and how you handle differing opinions.
