At a Glance
- Tasks: Design scalable data pipelines and develop strategies for data standardization.
- Company: Join Barclays' innovative Cross Markets team in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on strategic decision-making.
- Why this job: Make a real impact in financial services 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 in London 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, employees benefit from extensive growth opportunities and collaborative environments that encourage creativity and strategic thinking. The company's commitment to leveraging cutting-edge technology, such as AWS, ensures that team members are at the forefront of industry advancements while enjoying a supportive and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Strategy Engineer - Scalable Pipelines & Insights in London
✨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. We all love a good visual, so include projects that highlight your ability to design scalable data pipelines and standardise data across applications.
✨Tip Number 3
Prepare for the interview by brushing up on your machine learning knowledge and how it applies to data strategy. We want you to be ready to discuss how you can drive strategic decisions with data analytics, so practice articulating your thoughts clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you to join our team at Barclays.
We think you need these skills to ace Data Strategy Engineer - Scalable Pipelines & Insights in London
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 to know you better!
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and AWS skills. Be ready to discuss specific projects where you've used these technologies, especially in the context of designing scalable data pipelines. The more examples you can provide, the better!
✨Understand Financial Services
Since this role is within the financial services sector, it’s crucial to have a solid grasp of industry trends and challenges. Research Barclays and their Cross Markets team to understand how they operate and what data strategies they might be focusing on.
✨Prepare for Stakeholder Collaboration Questions
Expect questions about how you've worked with stakeholders in the past. Think of examples where you’ve driven strategic decisions through data insights. Highlight your communication skills and how you ensure everyone is on the same page.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies during the interview. Practice articulating your thought process when faced with data-related challenges, especially those that require innovative solutions using machine learning or data standardisation.
