At a Glance
- Tasks: Lead the design and delivery of innovative data solutions for a cloud-based platform.
- Company: Join Barclays, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Work in a collaborative team that values creativity and strategic thinking.
- Why this job: Be at the forefront of transforming data capabilities in a dynamic environment.
- Qualifications: Expertise in Python, SQL, and AWS; experience in data engineering and DevOps.
The predicted salary is between 70000 - 90000 £ per year.
Join us as an Engineering Lead – Enterprise Data Platform for Barclays Customer, Comms and Mar Tech team, where you will play a pivotal role in leading the technical design and delivery of data solutions supporting the migration to a cloud-based Enterprise Data Platform (EDP). You will be responsible for shaping how Customer, Comms and MarTech data is provisioned and configured in the Data Lab environments, integrated and consumed, enabling scalable, secure, and efficient data capabilities across the organisation. This role sits at the heart of a strategic transformation to replace legacy data warehouses and platforms with a modern cloud-native EDP.
You will lead engineering solution design, define new data architecture patterns including orchestration and scheduling, and ensure seamless integration with downstream systems while maintaining high standards of data quality, security, and operational resilience. The role will include:
- Leading the design and build of scalable data pipelines and integrations on AWS
- Driving the migration of customer and MarTech datasets from legacy platforms to the EDP
- Establishing robust DevOps and DataOps practices to ensure production-ready, reliable, and high-performing data products
To be successful as an EDP Customer Engineering Lead, you should have:
- Strong hands-on expertise in Python, PySpark, SQL, and Databricks, with the ability to build and optimise scalable data pipelines and analytics-ready datasets
- Experience implementing CI/CD and DevOps practices for data platforms, including GitLab workflows, automated testing, deployment pipelines, and environment management
- Proven experience delivering AWS solutions including cloud infrastructure with a focus on performance tuning, monitoring, data quality, security, and cost optimisation
Some other highly valued skills may include:
- Understanding of Enterprise Data Platform concepts, including data products, domains, and consumption patterns with a focus on operability and production readiness
- Awareness of data security practices, particularly in handling sensitive data using governed and automated approaches
- Experience with file-based integration patterns, including managing constraints around file formats, splitting, and downstream system limitations
You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based in Knutsford.
Data Engineering Lead in Knutsford employer: 慨正橡扯
At Barclays, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Engineering Lead in Knutsford, you will benefit from our commitment to employee growth through continuous learning opportunities and a supportive environment that encourages professional development. Join us to be part of a strategic transformation, where your contributions will directly impact the future of data solutions in a modern cloud-native setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead in Knutsford
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local tech events. You never know who might be looking for someone with your skills, and a personal connection can make all the difference.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving Python, SQL, or AWS. Having tangible examples of your work can really set you apart from the crowd.
✨Ace the Interview
Prepare for those interviews by brushing up on your technical skills and understanding the company’s data strategy. Be ready to discuss how you would tackle real-world problems they face, especially around cloud migration and data quality.
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that role! We love seeing candidates who are proactive and engaged with our platform. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Data Engineering Lead in Knutsford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Engineering Lead. Highlight your experience with Python, SQL, and AWS, and don’t forget to mention any hands-on projects that showcase your skills in building scalable data pipelines.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background aligns with the transformation to a cloud-based Enterprise Data Platform. Be specific about your achievements in similar projects.
Showcase Your Technical Skills:In your application, be sure to highlight your expertise in CI/CD and DevOps practices. Mention any relevant tools you've used, like GitLab or Databricks, and provide examples of how you've implemented these in past roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you brush up on your Python, PySpark, SQL, and Databricks skills. Be ready to discuss how you've built and optimised scalable data pipelines in the past. Having specific examples of your work will show that you’re not just familiar with the tech, but that you can actually apply it.
✨Understand the Cloud Landscape
Since this role involves migrating to a cloud-based Enterprise Data Platform, it’s crucial to understand AWS solutions. Familiarise yourself with performance tuning, monitoring, and security practices. Being able to talk about your experience with CI/CD and DevOps practices will definitely give you an edge.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous projects, especially around data quality and integration. Think about how you’ve tackled issues related to file formats or system limitations. This will demonstrate your ability to think strategically and adapt to changing environments.
✨Be Ready for Scenario-Based Questions
Expect questions that assess your understanding of Enterprise Data Platform concepts and your approach to risk and controls. Practise articulating your thought process in scenarios where you had to make decisions about data architecture or operational resilience. This will highlight your business acumen and strategic thinking.
