Photos people at PlentificPhotos people at PlentificPhotos people at PlentificPhotos people at PlentificPhotos people at PlentificPhotos people at Plentific
Plentific on cord

Plentific

Head of Data Engineering

London, UK
PropertyTech
Simpler, smarter property repair, maintenance and management.
The company is no longer hiring for this position.

Skills & Experience

Job roles: Data Engineer, Head of Data, Data Architect
Experience level: Lead, Leadership
Core skills considered: Python, AWS, Pandas, Snowflake, Terraform

Logistics

Base salary: £90K - £125K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

The Role

We are looking for a Tech Lead - Data Engineering to serve as the primary architect and owner of our data platform. Reporting to the Head of Engineering, you will own the end-to-end technical direction of our data ecosystem and act as the most senior individual contributor in this domain.

This role sits at the intersection of data engineering and system design. You will define how data is ingested, modelled, stored, transformed, and exposed across the company, with an emphasis on robust pipelines, clear data contracts, and reliable operation at scale.

We are looking for someone who goes beyond building pipelines and focuses on designing durable, well-architected data systems. The large volumes of transactional data we generate form the foundation for machine learning and other AI-driven solutions that we are actively building and evolving. Your focus will be on designing and evolving data systems that are reliable, maintainable, and fit for long-term use, applying strong software engineering principles to how data is structured, integrated, and operated at scale.


Responsibilities

  • Own the Data Platform: Take end-to-end ownership of the data platform, including ingestion, storage, transformation, and exposure layers. This includes setting technical direction and being accountable for system reliability, performance, and cost.
  • System Architecture: Lead the design of distributed data systems, ensuring clean integration between backend services, external APIs, event streams, and data storage layers.
  • ML-powered Product Enablement: Work closely with product and engineering teams to design and lead data foundations for machine-learning-powered product features, ensuring data quality, traceability, and production readiness.
  • Data Modelling&Strategy: Act as the lead architect for data models and contracts. Design schemas for both structured and unstructured data, balancing flexibility, performance, and long-term maintainability.
  • Engineering Standards&Artefacts: Set and uphold engineering standards across the data domain. Produce and maintain architecture diagrams, design documents, and Architecture Decision Records (ADRs). Champion best practices including version control, CI/CD, modular design, backwards compatibility, and automated testing.
  • Pipeline&ETL/ELT Design: Architect and implement high-scale, fault-tolerant data pipelines. Make deliberate trade-offs around latency, freshness, cost, and complexity, selecting fit-for-purpose tools rather than defaulting to trends.
  • Hands-on Delivery: Spend a significant portion of your time building and maintaining core pipelines, schemas, and services in production. This is a hands-on role with direct responsibility for critical systems.
  • Technical Leadership: Define the technical roadmap for data, perform deep code reviews, and mentor engineers on system design, SQL, and Python.
  • Workflow Automation: Design and implement automated workflows (using tools such as n8n or custom Python services) to bridge operational gaps and reduce manual processes.
  • Governance&Security: Design enterprise-grade governance frameworks covering access control, data lineage, observability, and data integrity.
  • Production Ownership: Be accountable for production incidents, data quality issues, and cost regressions within the data platform.
  • ML-powered Product Enablement: Work closely with product and engineering teams to design and lead data foundations for machine-learning-powered product features, ensuring data quality, traceability, and production readiness.


Experience and Qualifications

  • Architectural Mindset: Proven experience as a Tech Lead, Principal Engineer, or System Architect designing and owning complex, distributed systems.
  • Strong Software Engineering Foundations: A software-engineer-first mindset with deep experience in Python and production-grade engineering practices. Experience with libraries such as Pandas or Polars is expected, but architectural thinking matters more than specific tools.
  • Machine Learning Exposure: Hands-on experience working with machine learning systems and tooling (e.g. Hugging Face, feature stores, model inference pipelines, or similar), with an emphasis on enabling ML in production rather than research experimentation.
  • Database & Storage Expertise: Advanced SQL skills and hands-on experience with modern cloud data warehouses (e.g. Snowflake or equivalent), alongside solutions for unstructured or semi-structured data.
  • ETL/ELT & Orchestration: Experience designing and operating modern data pipelines using tools such as dbt, Airflow, or equivalent orchestration and transformation frameworks.
  • Engineering Rigor: Deep experience with Git-based workflows, CI/CD pipelines, automated testing, and maintaining long-lived systems in production.
  • Engineering Judgement: Demonstrated ability to make and defend trade-offs—when to model data, when not to ingest data, and how to balance correctness, performance, and cost.
  • Analytical Depth: Ability to interrogate and analyse data directly to validate system behaviour and ensure high levels of data quality.


Desirable

  • Experience with Analytics-as-Code platforms such as Looker/LookML.
  • Experience building internal platforms that enable, rather than directly deliver, BI and reporting.
  • Experience with automation platforms such as n8n for connecting operational systems.
  • Experience designing systems for multimodal data (text, images, video, documents).

Company Benefits

  • Pension
  • Choice of laptop
  • Flexible working (fully remote)
  • Referral scheme
  • Home office budget

Interview Process

  • 20 minute call with Talent
  • 90-minute long technical interview
  • 45-minute long call with CTO and Director of Engineering

Skills of candidates in conversation

Management
Software Architecture
Cloud Computing
Artificial Intelligence
Agile
Tom Miller on cord
Active now
Talent
Active now
Plentific are no longer hiring for this position.

Talk directly
to who's hiring

cord intros you to the companies worth joining, from seed to enterprise.

Everything you need to find work

Surface every relevant position, direct message the people hiring and manage all your applications in one place.

Get started

Every position in one place

We index the web for open positions that might be relevant to you and bring them all in one place.

Positions you might like split into tabs based on their type

Direct messaging

No more CV blackholes. Message people hiring directly and see their activity live on cord.

A sent message to a hiring manager
A board of positions in different stages

Application management

Manage all your applications and interviews in one place.

Advanced insights

Know your worth and see how you compare with other applicants.

Visualisation of a profile match score for a position and score comparison with other applicants

Direct.
Transparent.
Human.

On cord you can message people hiring directly, see when they were last active, how responsive they are and access transparent information that you wouldn't be able to find anywhere else.

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
Alex Yeates on cord
Message Alex Yeates at Starling Bank
Typically responds in an hour

What people are saying

2,000+

users joining every week

Oliver on cord

Oliver

Software Engineering Consultant
It's really easy to use, has a solid selection of jobs, and makes it helpful to direct message companies. The platform seems to offer a good range of opportunities while keeping the process simple and convenient.
November, 2025
David on cord

David

Lead Software Engineer
The platform allows you to create a professional CV, making the setup process simple and polished. The internal chat also provides an easy way to directly contact hiring companies, which makes communication much more efficient.
November, 2025
40,000+

open positions

Nicolae on cord

Nicolae

Senior Full Stack Developer
It is a great platform if you are looking for a job. It makes the search process straight forward and gives you access to solid opportunities.
November, 2025
3 million+

messages exchanged so far

Nicolae on cord

Nicolae

Senior Full Stack Developer
It is a great platform if you are looking for a job. It makes the search process straight forward and gives you access to solid opportunities.
November, 2025
84.4%

response rate from companies

Aarambha on cord

Aarambha

Associate Software Engineer
Absolutely amazing idea, the ability to see which recruiters are active makes finding opportunities very quick. There is a form of transparency built into the website that lacks in any other job searching platform.
August, 2025
Adam on cord

Adam

Senior Engineer
cord was great. Clean UI, easy to browse, and the data feature made it a breeze to quickly check whether my profile would match up well with a particular role. The messaging system made it easy to approach companies but also filter out unwanted requests.
August, 2025
4.6

score on Trustpilot

Talk directly to the people that matter

Join the hundred of thousands of people using cord to find work

Get started
 on cord
 on cord
 on cord
 on cord
 on cord
+448 joined last week
Moved to your Not right positions