At a Glance
- Tasks: Lead the design and delivery of innovative data solutions for Barclays' cloud-based platform.
- Company: Join Barclays, a leader in financial services, committed to innovation and transformation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting opportunity to shape the future of data engineering in a collaborative team.
- Why this job: Be at the forefront of transforming data capabilities in a dynamic environment.
- Qualifications: Expertise in Python, SQL, and AWS; experience with CI/CD and DevOps practices.
The predicted salary is between 80000 - 100000 £ per year.
hackajob is collaborating with Barclays to connect them with exceptional professionals for this role. 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 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 employer: hackajob
Barclays is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront of our mission. As a Data Engineering Lead in Knutsford, you will benefit from extensive professional development opportunities, competitive remuneration, and a commitment to work-life balance, all while contributing to transformative projects that shape the future of data solutions in a cloud-native environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Barclays. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with recruiters or during interviews, make sure to highlight your hands-on experience with Python, SQL, and AWS. Share specific examples of how you've built scalable data pipelines or implemented DevOps practices.
✨Prepare for Technical Challenges
Brush up on your technical skills and be ready for coding challenges or case studies. Practice building data solutions or optimising pipelines, so you can demonstrate your expertise in real-time during the interview process.
✨Apply Through Our Website
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at Barclays.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineering Lead role. Highlight your hands-on expertise in Python, PySpark, SQL, and Databricks, as well as any experience with AWS solutions. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about leading data solutions and how you can contribute to our migration to a cloud-based Enterprise Data Platform. Keep it engaging and relevant to the role.
Showcase Your Projects:If you've worked on any relevant projects, make sure to showcase them in your application. Whether it's building scalable data pipelines or implementing CI/CD practices, we love seeing real-world examples of your work!
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 the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at hackajob
✨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 tools, but you can actually use them effectively.
✨Showcase Your Cloud Knowledge
Since this role involves migrating to a cloud-based Enterprise Data Platform, be prepared to talk about your experience with AWS solutions. Highlight any projects where you focused on performance tuning, monitoring, and data quality. This will demonstrate your ability to handle the technical challenges of the role.
✨Emphasise DevOps Practices
Discuss your experience with CI/CD and DevOps practices, especially around data platforms. Mention any specific tools like GitLab that you've used for automated testing and deployment pipelines. This shows that you understand the importance of operational resilience and can contribute to building reliable data products.
✨Understand the Bigger Picture
Be ready to talk about Enterprise Data Platform concepts and how they relate to business needs. Show that you can think strategically about data consumption patterns and operability. This will help interviewers see that you’re not just a techie, but also someone who understands the impact of data on the organisation.
