Quilter on cord

Quilter

Lead Data Engineer

External position
Hiring internally for Quilter?
Software Development · Semiconductors
Advice. Investments. Wealth Management.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Engineer
Experience level: Lead
Core skills considered: Data Pipelines, Databricks, Azure, Spark
Other skills considered: Python, SQL, CI/CD

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

This role accelerates Quilter's data strategy by providing deep, technical leadership across one or more data domains; defining engineering standards, and delivering robust, scalable and secure solutions.

The Lead Data Engineer plays a pivotal role in enabling business value through the design, development, and continuous improvement of data products and platforms that support actionable insights across the organisation.

Working closely with engineers, architects, analysts, platform teams, and business stakeholders, the Lead Data Engineer is responsible for translating business requirements into robust technical solutions while driving engineering best practices and fostering a culture of technical excellence. The role requires deep technical expertise, strong problem-solving capabilities, and the ability to influence and guide both technical and non-technical stakeholders.


Technical Leadership & Domain Ownership

  • Provide technical leadership for one or more data domains, acting as the primary engineering authority and subject matter expert.
  • Define, champion, and evolve data engineering standards, patterns, and best practices to ensure robust, efficient, secure, and maintainable solutions.
  • Lead solution design activities and guide the implementation of scalable data pipelines, data products, and platform capabilities.
  • Review code, architecture, and engineering approaches to ensure consistency, quality, and alignment with strategic objectives.
  • Remain hands-on when required, supporting the resolution of complex technical challenges and critical delivery issues.

Engineering Delivery

  • Lead the technical delivery of key initiatives and ensure solutions are delivered to a high standard, meeting business requirements and engineering principles.
  • Translate business and product requirements into detailed technical designs and implementation plans.
  • Collaborate with Data Engineering Managers, Product Owners, Architects, and stakeholders to prioritise and deliver work effectively.
  • Drive adoption of modern engineering practices including automation, testing, CI/CD, source control, observability, and infrastructure-as-code.
  • Contribute to roadmap planning by identifying technical opportunities, risks, dependencies, and improvement initiatives.

Mentoring & Capability Development

  • Provide coaching, mentoring, and technical guidance to data engineers across the team.
  • Support the development of engineering capability through knowledge sharing, technical reviews, pair programming, and communities of practice.
  • Promote a collaborative and inclusive engineering culture focused on quality, learning, and continuous improvement.
  • Act as a role model for engineering excellence and professional standards.

Cross-Functional Collaboration

  • Partner with product managers, analysts, data scientists, platform teams, and business stakeholders to understand requirements and deliver valuable outcomes.
  • Work closely with architecture, platform, and governance teams to ensure solutions align with enterprise standards and strategic direction.
  • Communicate technical concepts clearly to both technical and non-technical audiences.
  • Influence decision-making by providing expert technical advice and recommendations.

Operational Excellence

  • Promote operational stability, reliability, and performance of data products and pipelines through monitoring, alerting, automation, and incident management practices.
  • Champion high standards of data quality, security, governance, and regulatory compliance.
  • Identify and implement opportunities to improve platform efficiency, engineering productivity, and service resilience.
  • Support root cause analysis and continuous improvement activities to enhance operational performance and service reliability.

Qualifications

  • Degree in a technical discipline (e.g. computer science, engineering, maths, physics) or evidence of equivalent practical experience

Knowledge

  • Proven experience as a senior or lead data engineer within a complex enterprise environment, delivering large-scale data solutions.
  • Strong hands-on experience designing, developing, and supporting data platforms and pipelines using Databricks within Azure.
  • Experience implementing both batch and real-time data processing solutions, including event-driven and streaming architectures.
  • Demonstrable experience leading the technical design and delivery of data products and platform capabilities across one or more business domains.
  • Experience implementing and promoting data quality frameworks, service level objectives (SLOs), data contracts, and observability tooling.
  • Strong understanding of data governance principles, including data lineage, metadata management, cataloguing, security, and access controls.
  • Experience ensuring compliance with regulatory and organisational requirements, including GDPR, data retention, and information security controls.
  • Proven ability to define technical standards, engineering patterns, and best practices and drive their adoption across engineering teams.
  • Experience mentoring and coaching engineers, conducting code reviews, and promoting engineering excellence.
  • Strong experience designing and implementing data models across multiple architectural layers, including Kimball dimensional modelling and Data Vault methodologies.
  • Experience working within Agile delivery teams and collaborating with architects, product owners, analysts, and business stakeholders to deliver business outcomes.

Skills

  • Strong technical leadership skills with the ability to influence engineering direction and drive best practices across teams.
  • Strategic thinker with a curious mindset, strong analytical capability, and a passion for continuous improvement.
  • Excellent problem-solving skills with the ability to resolve complex technical challenges and make sound engineering decisions.
  • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
  • Databricks: Delta Lake, Unity Catalog, Workflows, Asset Bundles, Notebooks, Compute Management, Delta Live Tables, Spark Declarative Pipelines and platform optimisation.
  • Microsoft Fabric: Lakehouse, Data Warehouse, Real-Time Intelligence, Semantic Models, and Fabric administration concepts.
  • Azure: ADLS Gen2, Azure Data Factory, Key Vault, Functions, Azure Monitor, and broader Azure data services.
  • Spark: Deep understanding of Spark internals, distributed computing principles, optimisation techniques and features, performance tuning.
  • Languages: Advanced Python and SQL development skills; Scala experience beneficial.
  • CI/CD & DevOps: Azure DevOps, Git-based development workflows, Infrastructure as Code, automated testing, and deployment automation.
  • Orchestration: Databricks Workflows, Azure Data Factory, Fabric pipelines, and other enterprise scheduling and orchestration frameworks.
  • Data Architecture & Modelling: Strong knowledge of Kimball, Data Vault, medallion architecture, and modern lakehouse design patterns.
  • Data Governance & Security: Experience implementing secure-by-design data solutions, platform governance controls, and operational monitoring practices.

Desired Attributes

  • Passionate about engineering excellence and continuous learning.
  • Acts as a trusted technical advisor and subject matter expert within their domain.
  • Proactively identifies opportunities to improve platform capability, performance, reliability, and security.
  • Collaborative and supportive team player who enjoys mentoring others and sharing knowledge.
  • Takes ownership and accountability for technical outcomes while maintaining a pragmatic delivery-focused approach.

Company Benefits

  • Holiday: 26 days
  • Quilter Incentive Scheme: All employees are eligible to participate in our incentive scheme, based on the company's performance and their contribution to it
  • Pension Scheme: 10% non-contributory company pension scheme that can be boosted through personal contributions
  • Private Medical Insurance: Single cover as standard, cover can be increased at your own cost
  • Life Assurance: 4x your salary, cover can be increased at your own cost
  • Income Protection: 75% of salary payable after 26 weeks of absence
  • In addition to our core benefits we offer a range of flexible benefits that you can choose from and pay for conveniently via a salary deduction.
Lead Data Engineer at Quilter
Position posted a week ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
Message Alex Yeates at Starling Bank
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