Wise on cord

Wise

Senior Data Engineer II

External position
London, UK
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FinTech · Payments
Formerly TransferWise. Still building the world's most international account.
Active
over 6 months ago
Posted
a month ago
Checked
cord regularly checks that external positions are still open
2 hours ago

Skills & Experience

Job roles: Data Engineer
Experience level: Senior
Core skills considered: Python, Big Data, Kafka, Airflow, dbt
Other skills considered: Data Architecture, Data Pipelines, Data Modeling, Data Warehousing, Data Migration

Logistics

Base salary: £85K - £145K
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

We're looking for a seasoned, senior Data Engineer with a strong software engineering background to join our Scalable Growth team within the Global Product Tribe. In this role, you'll report directly to the Scalable Growth Engineering Lead while embedding day-to-day with the Marketing Platform team. You will serve as the technical authority on data architecture, bridging the gap between platform engineering and analytics engineering. You'll bring maturity, resilience, and scalability to our data infrastructure-building and shaping systems that handle high-volume streaming and batch data to fuel our global marketing engine. If you thrive in an environment where you can scope complex problem spaces, mentor engineers in data best practices, and directly impact how Wise attracts millions of customers globally, this is the role for you.

Scalable Growth is dedicated to building enabling technology that helps Wise acquire customers at the lowest possible cost. Within this space, the Marketing Platform team owns the data pipelines, internal tools, and integrations with third-party vendors (e.g., Meta, Google) that power our acquisition channels. As our dedicated data lead, you'll work cross-functionally with engineers, product managers, digital analytics leads, and marketing stakeholders (Paid, Organic, CRM) to transform our marketing data infrastructure into a true platform product.


What you will do

  • Drive Data Architecture & Resilience: Audit, map out, and elevate our current data pipelines and streaming architectures. Establish best practices for monitoring, reliability, and scale across our data ecosystem (using Python, dbt, Airflow, Kafka, and Trino/Iceberg).
  • Build the Unified Customer View: Productionize PoCs into scalable Airflow/dbt data workflows to lay the groundwork for our Customer Data Platform (CDP) datasets.
  • Bridge Engineering & Analytics: Partner with analytics leads to define clear boundaries and standards for data ingestion, cleansing, and transformation-bringing a strong analytics engineering mindset (specifically via dbt) to raw data landing.
  • Own MarTech Infrastructure: Work alongside Engineering Leads to bring technology ownership of MarTech systems (e.g., Braze, HighTouch reverse ETL) in-house, building end-to-end solutions rather than isolated data plumbing.
  • Technical Scoping & Discovery: Take ownership of broad, ambiguous problem spaces. Uncover hidden challenges, propose robust architectural designs, and execute your own roadmap.
  • Coach & Mentor: Elevate the data capabilities of software engineers in the squad through code reviews, architectural guidance, and hands-on mentoring.

Qualifications

We are fully aware that it is uncommon for a candidate to have all skills required, and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more, we do want to hear from you!

  • Python & Big Data Expertise: Advanced proficiency in Python and proven experience architecting, deploying, and maintaining Big Data and streaming/batch pipelines (e.g., Kafka Streams, Event Streaming, Trino, Iceberg).
  • dbt & Airflow Proficiency: Hands-on experience using dbt for scalable data transformations and Airflow for workflow orchestration.
  • Data Architecture Mastery: A strong background in designing scalable, fault-tolerant data architectures, implementing data quality frameworks, and establishing production best practices.
  • Product & Discovery Mindset: Ability to take a vague problem statement, independently uncover the requirements, scope project milestones, and drive solutions end-to-end.
  • Cross-functional Stakeholder Management: Excellent communication skills with the ability to bridge tech, marketing, and analytics, turning marketing needs into crisp engineering roadmaps.

Nice to have

  • Experience with MarTech tooling or reverse ETL setups (e.g., HighTouch, Braze, vendor API integrations).
  • Familiarity with modern AI/ML data integration practices.
  • Background in fintech or fast-scaling tech platform environments.

Company Benefits

  • Stock Options
  • Private Pension
  • Hybrid WFH Model
  • Paid Sabbatical after 4 years
  • 90 day global remote working
  • Annual Development Budget
Senior Data Engineer II at Wise
Position posted a month 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
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