招聘
Benefits & Perks
•Healthcare
•Pension
•Equity
•Flexible Hours
•Parental Leave
•Gym
•Healthcare
•Equity
•Flexible Hours
•Parental Leave
•Gym
Required Skills
Python
Shell scripting
AWS
Control-M
ETL
ELT
Snowflake
Apache Airflow
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire
- Lead Site Reliability Engineer
- Data Ops
About this role
We are seeking a Lead Site Reliability Engineer (Data Ops) to lead the charge on ensuring the health, reliability, and security of our critical data pipelines.
This is a senior, hands on technical role for an expert who is comfortable with mission-critical batch data pipelines in a cloud environment, integrating with
numerous real-time data sources.
You will be responsible for managing highly sensitive and critical data streams and driving strategic initiatives to minimize incidents, optimize performance, and build a resilient hybrid data environment. Your focus will be on proactive problem-solving, automation, and continuous improvement, transforming our operational processes from reactive to resilient.
What you’ll do
- Production Support & Reliability: Act as the subject matter expert and technical lead for resolving the most complex, high-impact incidents affecting data pipelines. Manage multiple stakeholders for critical events. Perform in-depth root cause analysis to prevent recurrence, focusing on data pipelines, scheduling platforms such as Control-M and AWS-related services.
- Data Security & Governance: Ensure the integrity and security of highly sensitive and critical data throughout the entire pipeline. Implement and enforce security best practices, including managing encryption at rest and in transit, access controls, and compliance.
- Automation & Tooling: Develop and implement automation for common operational tasks to reduce manual toil. Focus on building tools and monitoring solutions that provide visibility into the end-to-end health of pipelines.
- Performance Optimization: Proactively analyse and tune the performance of batch schedules and AWS resource utilization. Identify and implement optimizations to improve efficiency and reduce operational costs.
- Collaboration & Leadership: Act as a technical leader and mentor for both onsite and offshore team members. Ensure seamless collaboration, clear communication, and consistent operational standards across a distributed team. Contribute to the long-term technical strategy for data operations including modernization efforts.
What we’re looking for
- Demonstrable hands-on experience in a production support, site reliability, or data operations role within a large-scale data environment.
- Experience with data distribution platforms (e.g. Ab Initio & Spark centric solutions like AWS Glue & EMR), including deep understanding of ETL/ELT workflows & integration into data platforms like Snowflake.
- Extensive experience with scheduling platforms such as Control-M, including complex scheduling, dependencies, and managing a large batch environment.
- Working knowledge of IBM Sterling File Gateway or similar file transfer (MFT) solutions would be beneficial (e.g. AWS Transfer Family).
- Deep knowledge of AWS and its data-related services, including knowledge of open-source, cloud-first data-pipeline orchestration capabilities like Apache Airflow.
- Proficiency in Shell scripting & Python for automation and system administration.
- Proven ability to manage highly sensitive and critical data pipelines, with a strong understanding of security and compliance requirements.
- Demonstrated experience working effectively with both onsite and offshore teams, ensuring seamless operational handoffs and knowledge sharing.
- Excellent communication skills, with the ability to articulate complex technical issues to both technical teams and business stakeholders.
- Experience with DevOps or DataOps principles and practices is essential.
Where and how you'll work
This is a permanent position and is based in our Nottingham office.
We have a hybrid working model which gives you flexibility to work from our offices and from home.
We’re big on collaboration and connection, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays.
What’s in it for you
- Bring us all this and you’ll be rewarded with a role contributing to the product roadmap for an organisation committed to transformation
- We’re continuing our journey into the public cloud and have problems of scale, security, availability and performance for you to help solve
- We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers)
- Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave
- Open-plan workspaces and facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant and dedicated development resources.
What you should know about how we recruit
We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer
benefits that attract people at all ages and stages.
We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and up Reach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few:
- REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies
- Out Front – to provide LGBTQ+ support for all associates
- Mind Your Mind – signposting support and promoting positive mental wellbeing for all
- Women in Tech – promoting an inclusive environment in tech
- EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry
- Enabled - focused on supporting associates with disabilities and neurodiversity.
Capital One is committed to diversity in the workplace.
If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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About Capital One
Reviews
3.2
6 reviews
Work Life Balance
2.2
Compensation
3.8
Culture
1.8
Career
2.5
Management
1.5
25%
Recommend to a Friend
Pros
Competitive compensation packages
High base salaries for roles
Performance bonuses available
Cons
Stack ranking system affecting job security
Poor interview process and communication
Mandatory office requirements
Salary Ranges
84 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$81,250
total / year
Base
$32,500
Stock
$40,625
Bonus
$8,125
$56,875
$105,625
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 40%
Neutral 60%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment (CodeSignal)
3
Recruiter Phone Screen
4
Technical Interview
5
Behavioral Interview
6
Power Day/Super Day
7
Final Round/Offer
Common Questions
Coding/Algorithm
Data Analysis
Behavioral/STAR
Technical Knowledge
System Design
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