Distinguished Engineer (Director) - Data Engineering
Distinguished Engineer (Director) - Data Engineering

Distinguished Engineer (Director) - Data Engineering

London Full-Time 72000 - 100000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead innovation in data engineering, driving solutions for complex challenges.
  • Company: Join Capital One UK, a leader in creating cloud-based data ecosystems.
  • Benefits: Enjoy hybrid work, competitive salary, and perks like gym access and wellness rooms.
  • Why this job: Shape the future of financial services while mentoring the next generation of tech talent.
  • Qualifications: Significant experience in software development, data, ML, and AI is essential.
  • Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.

The predicted salary is between 72000 - 100000 £ per year.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire

Distinguished Engineer (Director) – Data Engineering

Distinguished Engineers are Director-level individual contributors (IC) who strive to be diverse in thought so we visualize the problem space. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

Distinguished Engineers are:

  • Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices.
  • Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates.
  • Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities.
  • Communicators, working across technology and business teams, bringing together the right senior stakeholders and fostering collaboration to drive decision making that helps solve some of our most complex technical challenges.
  • Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community.

About the team:

It’s an exciting time at Capital One UK! We’re on a mission to create our next generation, cloud-based data ecosystem, to unlock the power of data, increase financial inclusion and deliver transformative, real-time, intelligent experiences to our customers. Capital One’s Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications and ML driven models that help our customers.

As a Distinguished Data Engineer, you will be a highly experienced technical leader, accountable for driving innovation and engineering excellence through data solutions across the Data team and wider Engineering organization. With core accountability for the technical vision of our data ecosystem, servicing an organization of over 400+ Engineers and ~200 Analysts (including Data Scientists, Data Analysts and Business Analysts), the role requires deep Data Technology experience, including working experience of ML and GenAI.

You will also play a wider role as one of the most senior leaders in our vibrant Technology organization, fostering a culture of curiosity and innovation. Come and help us shape the future of financial services in the Cloud.

You are…

  • Recognized as a leading expert in Data Technology, including ML and AI, with deep understanding of industry trends and how they can be leveraged by the business to inform our strategic direction.
  • A technology expert with deep expertise in Streaming Data, Event Driven Architectures, Data LakeHouse (inc. Data Products, ELT, Distributed Data Processing, Snowflake), Data Governance, Python, Spark, Java, AWS Cloud technologies (e.g. Serverless, DynamoDB etc…) and working experience of ML and GenAI.
  • Proficient in software development principles, patterns, and practices. Able to drive the adoption of modern software engineering methodologies and tools, ensuring consistency and quality across teams.
  • An effortless communicator across tech, architecture, product and other senior stakeholders, both within the UK and across the wider Enterprise.
  • An inspirational leader, coach and mentor for a broad engineering group.
  • Able to set and deliver a strategy for the data ecosystem in partnership with our product team.
  • Experienced in the full life cycle of software delivery, including operational ownership (SRE).
  • Able to shape the adoption of modern Data Technology and support the evolution of a Data driven culture, across a scaled, cross functional organization.

What you’ll do:

  • Serve as an authoritative engineering expert across functional and non-functional requirements, and a problem solver to our engineering teams across Data Engineering.
  • Be a role model for engineers at all levels looking to grow in the Individual Contributor career track.
  • Articulate and evangelize a bold technical vision, develop and execute our Data, ML and AI technology strategy.
  • Be an advocate for modern technologies and patterns, sharing customer and engineering benefits to gain buy-in (working closely with leaders, other SMEs, and engineers).
  • Champion a culture of engineering excellence, continuous improvement, and being well managed, using opportunities to reuse and innersource solutions where possible.
  • Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team.
  • Part of your role can be actively hands-on, building POC’s, investing in key data capabilities, or pairing/teaching other engineers, decomposing complex problems into practical and operational solutions.
  • As a naturally curious leader, stay abreast of advances in Data, ML and AI technologies.
  • Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent.
  • Operate as a trusted advisor across Data Engineering, helping to shape use cases and implementation in a unified manner.
  • Build strong relationships across the UK and into the Enterprise to influence and drive adoption of best practices.
  • Ensure the data ecosystem remains scalable, resilient, and delivers a best-in-class customer experience.
  • Exhibit a deep understanding of security best practices, compliance requirements, and emerging threats. Ensures the development and operation of secure and compliant systems, influencing security standards and practices across multiple teams.
  • Design and implement comprehensive observability solutions across the data ecosystem that provide deep insight into the behavior, performance, and health of complex distributed systems.

Basic Qualifications:

We do not have a checklist of qualifications you must have, but this is a senior role and we are seeking applicants with significant experience in software development / architecture / Data / ML and AI, with specific experience in platform focused data ecosystems.

Where and how you’ll work

This is a permanent position based in either our Nottingham or London offices. 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 Nottingham or London office 3 days a week on Tuesdays, Wednesdays and Thursdays.

What’s in it for you

  • Bring us all this – and you’ll be well rewarded with a role contributing to the roadmap of an organization committed to transformation.
  • 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 accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café.

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 organizations including the Women in Finance and Race At Work Charters, Stonewall and upReach 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.
  • OutFront – 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.

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Distinguished Engineer (Director) - Data Engineering employer: Capital One

At Capital One, we pride ourselves on being an exceptional employer, particularly for our Distinguished Engineer (Director) - Data Engineering role based in Nottingham. Our vibrant work culture fosters innovation and collaboration, providing ample opportunities for professional growth through our Capital One University training programs. With a commitment to diversity and inclusion, along with outstanding benefits such as a fully-serviced gym and flexible working arrangements, we empower our employees to thrive both personally and professionally.
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Contact Detail:

Capital One Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Distinguished Engineer (Director) - Data Engineering

✨Tip Number 1

Make sure to showcase your deep technical expertise in Data Technology, ML, and AI during networking opportunities. Engage with professionals in the field through meetups or online forums to discuss industry trends and innovations.

✨Tip Number 2

Demonstrate your leadership skills by sharing your experiences in mentoring and coaching others. Highlight any instances where you've successfully driven innovation or improved engineering practices within a team.

✨Tip Number 3

Foster relationships with key stakeholders in technology and business. Being able to communicate effectively across different teams will be crucial, so practice articulating complex technical concepts in a way that resonates with non-technical audiences.

✨Tip Number 4

Stay updated on the latest advancements in Data, ML, and AI technologies. Attend relevant conferences or webinars to not only learn but also to network with other experts in the field, which can open doors for collaboration and opportunities.

We think you need these skills to ace Distinguished Engineer (Director) - Data Engineering

Deep expertise in Data Technology, including ML and AI
Experience with Streaming Data and Event Driven Architectures
Proficiency in Data LakeHouse concepts and technologies (e.g., Snowflake)
Strong knowledge of Data Governance practices
Advanced programming skills in Python, Spark, and Java
Familiarity with AWS Cloud technologies (e.g., Serverless, DynamoDB)
Understanding of software development principles and methodologies
Ability to drive adoption of modern engineering practices
Excellent communication skills across technical and business teams
Leadership and mentoring capabilities for engineering teams
Experience in the full software delivery lifecycle, including SRE
Capability to develop and execute technology strategies
Knowledge of security best practices and compliance requirements
Experience in designing observability solutions for distributed systems
Ability to foster a culture of innovation and continuous improvement

Some tips for your application 🫡

Highlight Your Expertise: Make sure to emphasize your deep technical expertise in Data Technology, ML, and AI. Use specific examples from your past experiences that showcase your knowledge of industry trends and how you've leveraged them to drive business outcomes.

Showcase Leadership Skills: As a Distinguished Engineer, you will be expected to lead and mentor others. Include instances where you've successfully coached teams or individuals, and describe how you've fostered a culture of innovation and collaboration.

Communicate Clearly: Since effective communication is key for this role, ensure your application reflects your ability to articulate complex ideas simply. Use clear and concise language, and structure your application to highlight your communication skills across technical and non-technical audiences.

Align with Company Values: Research Capital One's mission and values, and align your application to reflect how your personal values and professional goals resonate with theirs. Mention any experience you have with diversity and inclusion initiatives, as they are important to the company.

How to prepare for a job interview at Capital One

✨Showcase Your Technical Expertise

As a Distinguished Engineer, it's crucial to demonstrate your deep understanding of Data Technology, ML, and AI. Be prepared to discuss specific projects where you've applied these technologies and how they contributed to business outcomes.

✨Communicate Effectively

You will need to articulate complex technical concepts clearly to both technical and non-technical stakeholders. Practice explaining your past work in a way that highlights its impact on the organization and aligns with business needs.

✨Emphasize Leadership and Mentorship

Highlight your experience as a mentor and leader within engineering teams. Share examples of how you've fostered a culture of innovation and collaboration, and how you've helped others grow in their careers.

✨Stay Current with Industry Trends

Demonstrate your curiosity and commitment to staying updated on the latest advancements in Data, ML, and AI technologies. Discuss recent trends or innovations that you believe could benefit the organization and how you would implement them.

Distinguished Engineer (Director) - Data Engineering
Capital One
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  • Distinguished Engineer (Director) - Data Engineering

    London
    Full-Time
    72000 - 100000 £ / year (est.)

    Application deadline: 2027-02-27

  • C

    Capital One

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