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Fundment on cord

Fundment

Lead Data Engineer

London, UK
Finance · FinTech
A modern adviser platform - because great financial advice deserves great execution.
Active
a week ago
Responds to
N/A
Responds in
N/A
Requests
None yet. Be the first one!

Skills & Experience

Job roles: Data Engineer
Experience level: Lead
Tech stack/tooling used: SQL, Python, BigQuery, dbt, Looker, Docker, Terraform, Machine Learning, GCP
Core skills considered: SQL, Python, BigQuery, dbt, Looker
Other skills considered: Docker, Terraform, Machine Learning, GCP

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 (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Fundment is a fast-growing wealth infrastructure company, building on our cutting-edge digital investment system to transform the £3 trillion UK wealth management market. We are passionate about revolutionising the investment experience for financial advisers and their clients by combining our innovative proprietary technology with exceptional customer service. As we scale, we are growing our multi-disciplinary Data, Analytics&AI function to unlock the full potential of our data assets.

About the Role

This is a high-impact hands-on leadership role with the opportunity to design and build Fundment’s data and analytics infrastructure from the ground up. Reporting to our Head of Data&Analytics, you will create the data foundations that allow us to deliver data-driven insights, automated systems and AI-powered products to drive business growth and enhance operational efficiency.

Key Responsibilities

Data Platform Architecture & Strategy:

  • Lead the implementation of a robust, scalable, and secure data platform architecture on Google Cloud Platform (GCP).
  • Define and enforce technical standards, design patterns, and best practices for data ingestion, processing, storage, and consumption.
  • Ensure our data infrastructure follows best practices across data governance, cataloguing, quality and lineage.
  • Ensure the data platform adheres to all regulatory requirements (e.g., FCA, GDPR) and implement appropriate access control mechanisms.

Data Ingestion and Processing:

  • Design and deliver complex data pipelines for both batch and real-time streaming data processing from both internal and external data sources.
  • Build and optimise our query and transform capabilities across both structured and unstructured data.
  • Define and implement a unified data and metrics framework to ensure consistent definitions and understanding of KPIs across the organization.

Data/ML Operations:

  • Establish and lead the design of CI/CD processes and tooling for data pipelines, enabling scalable, automated, and high-quality delivery across environments.
  • Implement data observability and data quality monitoring to ensure our data is continually able to support our operations and drive business growth.
  • Design and build end-to-end MLOps pipelines for continuous improvement in model performance.
  • Ensure that all data components are provisioned and controlled through Infrastructure As Code (IaC).
  • Monitor, analyze, and optimise the cost efficiency of our GCP data plant.

Team Leadership & Mentorship:

  • Build our data engineering capability and recruit other data engineers of the highest calibre.
  • Provide technical guidance, mentorship, and code reviews to our multi-disciplinary team of analysts, data scientists and engineers.
  • Translate requirements into technical specifications and project plans, overseeing execution from conception to production.
  • Collaborate with cross-functional teams across the company to help both technical and non-technical users leverage our data, analytics and AI capabilities in an optimal and secure way.

Required Skills/Experience

  • Experience: Proven experience (7+ years) in data engineering.
  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Technical skills:
  • Advanced proficiency in SQL and Python for data manipulation and analysis
  • Experience in Google data infrastructure, including DataPlex, DataCatalog and BigQuery
  • Experience in Google data processing, including DataStream, DataFlow, Cloud Composer
  • Experience building and maintaining data transformation layers using dbt.
  • Strong experience with data visualization tools, (e.g. Looker)
  • Experience with data observability and monitoring
  • Experience with containerization technologies including CloudRun and Docker.
  • Experienced with Infrastructure as Code (e.g. Terraform)
  • Experience with MLOps Pipelines
  • Communication: Excellent written and verbal communication, presentation and interpersonal skills

Preferred Skills/Experience

  • Experience in a startup or high-growth environment.
  • Knowledge of data privacy and AI regulation, preferably within financial services.
  • Familiarity with real-time data processing and streaming analytics.
  • Experience in GCP Vertex AI platform, including Vertex AI Pipelines, Model Registry, and Vertex AI Endpoints.
  • Experience building the infrastructure that facilitates deployment and production tuning of ML models and AI systems (including LLMs).
  • GCP Professional Data Engineer or Professional Machine Learning Engineer certifications.

Why join us?

Become part of our flexible, dynamic and supportive work environment, where our innovative team values your ideas and collaboration drives our success together. Make an impact from day one and challenge yourself to continually improve, raise standards and see how your work can contribute to future goals.

We are happy to consider any reasonable adjustments that applicants may need during the recruitment process.

Company Benefits

  • Be part of a modern, inclusive, high-trust engineering culture
  • Take ownership and ship code that directly improves client outcomes
  • Work with a smart, friendly team that values balance, growth, and support
  • Pension 6% employer contribution, minimum 2% employee contribution.
  • BUPA Private Health Insurance – fully paid for by the company, for you and your immediate family.
  • Medicash Cashplan – fully paid for by the company, for you and your immediate family.
  • Travel insurance – fully paid for by the company, for you and your immediate family.
  • Life Assurance – 4 x base salary.
  • Employee Assistance Programme
  • 28 days annual leave plus bank holidays.
  • Paid compassionate leave – up to 5 days per year.
  • Enhanced paternity/maternity/adoption leave
  • Jury service – 10 days at full pay.
  • Hybrid working arrangements – 3 days per week in the Fitzrovia office.
  • Coaching&Counselling sessions
  • Training Budget
  • Annual pay review
  • Annual training budget

Interview Process

TBC

Skills of candidates in conversation

Python
SQL
AWS
GCP
ETL
Emma on cord
Head of People
Active a week ago
Fundment are no longer hiring for this position.

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Photos people at Starling BankPhotos people at Starling BankPhotos people at Starling BankPhotos people at Starling BankPhotos people at Starling Bank
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
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