At a Glance
- Tasks: Lead the design and delivery of cloud-based data solutions for a major enterprise.
- Company: Join Barclays, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on code quality and knowledge sharing.
- Why this job: Shape the future of data capabilities and make a real impact in a dynamic environment.
- Qualifications: Strong skills in Python, SQL, and AWS; experience in DevOps practices is a plus.
The predicted salary is between 70000 - 90000 € per year.
Lead the technical design and delivery of data solutions supporting the migration to a cloud‑based Enterprise Data Platform (EDP). Shape how data is provisioned, configured, integrated, and consumed to enable scalable, secure, and efficient data capabilities across the organisation.
Responsibilities
- Lead engineering solution design, define new data architecture patterns, including orchestration and scheduling, and ensure seamless integration with downstream systems.
- Drive the design and build of scalable data pipelines and integrations on AWS.
- Migrate customer and MarTech datasets from legacy platforms to the EDP.
- Establish robust DevOps and DataOps practices to ensure production‑ready, reliable and high‑performing data products.
- Maintain high standards of data quality, security and operational resilience.
- Collaborate with product managers, designers and other engineers to define requirements and ensure alignment with business objectives.
- Promote a culture of code quality and knowledge sharing through code reviews and unit testing practices.
Required Qualifications
- Strong hands‑on expertise in Python, PySpark, SQL and Databricks for building and optimising 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 with a focus on performance tuning, monitoring, data quality, security and cost optimisation.
Highly Valued Skills
- 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.
Location: Knutsford.
Engineering Lead - Enterprise Data Platform in Knutsford employer: hackajob
Barclays is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Engineering Lead role in Knutsford. Employees benefit from a strong focus on professional development, with opportunities to lead cutting-edge projects in cloud-based data solutions while enjoying a supportive environment that prioritises code quality and knowledge sharing. The company's commitment to operational resilience and data security ensures that team members are at the forefront of industry standards, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Lead - Enterprise Data Platform in Knutsford
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Barclays or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role focuses on AWS and data pipelines, make sure you can confidently discuss your experience with Python, PySpark, and SQL. We want you to shine!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to share examples of how you've tackled challenges in previous projects, especially around data quality and security. This will demonstrate your fit for the Engineering Lead role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Engineering Lead - Enterprise Data Platform in Knutsford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Engineering Lead. Highlight your experience with Python, AWS, and data pipelines, and don’t forget to mention any relevant projects that showcase your skills in building scalable data solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the Enterprise Data Platform and how your background aligns with the responsibilities listed in the job description. Be genuine and let your personality come through!
Showcase Your Technical Skills:When detailing your experience, focus on your hands-on expertise with tools like PySpark and Databricks. Mention specific examples of how you've implemented CI/CD practices or optimised data pipelines, as this will resonate well with us at StudySmarter.
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 during the process. Plus, we love seeing applications come in through our platform!
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 can hit the ground running.
✨Showcase Your DevOps Knowledge
Since this role involves implementing CI/CD and DevOps practices, be prepared to talk about your experience with GitLab workflows and automated testing. Share any challenges you've faced and how you overcame them to demonstrate your problem-solving skills.
✨Understand the Bigger Picture
Familiarise yourself with Enterprise Data Platform concepts and be ready to discuss how they relate to the role. Think about how data products and consumption patterns impact business objectives, and be prepared to share your insights on ensuring production readiness.
✨Emphasise Collaboration Skills
This position requires working closely with product managers, designers, and other engineers. Be ready to provide examples of how you've collaborated in the past, especially in promoting code quality and knowledge sharing through practices like code reviews and unit testing.
