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Abtrace on cord

Abtrace

Data Engineer

8 Hermitage St, London W2 1BE, UK
HealthTech · Software Development
The System of Action for Healthcare - Automating Complex Clinical Workflows with Software
Active
2 days ago
Responds to
65% of requests
Responds in
3 days
Requests
More than 10
Conversations
1 started

Skills & Experience

Job roles: Data Engineer, Back End, Big Data Engineer
Experience level: Mid, Senior
Core skills considered: Python, SQL, AWS
Other skills considered: Data Architecture, Data Warehousing

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

Abtrace is solving one of the most complex, impactful problems in healthcare for a generation. The company is at an inflection point. Intelligent analysis underpins everything Abtrace does and is key to driving improvements for patients and healthcare workers.


Abtrace

The NHS is under immense pressure. Primary care teams deliver more care for a larger, longer-living population with limited time and workforce capacity. Improving health outcomes at scale requires healthcare to be more proactive, preventative, and operationally efficient. We must automate wherever possible, and thoughtfully digitise the rest.

Abtrace supports over 500 primary care practices across the UK, serving 6 million people. We automate the delivery of measurements, vaccinations, blood tests, reviews, and other routine care. We improve healthcare outcomes, reduce operational burden, and create better experiences for both staff and patients.

Healthcare professionals deserve software that is reliable, safe, modern, thoughtful, and well designed. Deep analytics and robust data infrastructure are the bedrock of that work – it's how we understand what's working, where opportunities to improve care are, and how we get better.


Role Overview

We're hiring our first dedicated Data Engineer to build the foundation our analytics and product teams depend on. Today, our data flows through a mix of warehouse tables and external sources that have evolved alongside the business. As we scale to support more practices and more sophisticated analysis, we need someone to shape this into a clean, centralised, well-governed platform - reliable, easy to build on, and trusted across the company.

This is a senior individual-contributor role. You'll be hands-on day to day – writing pipelines, models, and infrastructure – while owning the architectural direction as we build the foundations of our data platform. Ideally you've watched data infrastructure outgrow its early foundations before, and you know what good looks like on the other side.

Key Responsibilities

  • Design, build, and maintain data pipelines that ingest from a variety of sources – third-party APIs, operational databases, and file-based exports – primarily in Python on AWS.
  • Own and evolve our data warehouse architecture and shape where it goes next – assessing and moving toward a cleaner, centralised warehouse or lakehouse that's well-structured, reliable, and managed as code.
  • Build a fast, safe path from "new data needed" to "available to analysts and the business." Our current release flow is reliable but slow; you'll streamline testing, releases, and the overall experience of adding and changing models.
  • Implement transformation tooling so analytics logic is version-controlled, tested, and reviewable. We use dbt and intend to keep building around it.
  • Make it easy and safe for engineers, analysts, and product teams to access the data they need, with appropriate controls and auditability in place.
  • Establish monitoring, alerting, and data quality checks across critical pipelines.
  • Partner with analytics, engineering, and product teams to make their work faster, safer, and more reliable – including code review, mentorship on engineering practices, and improving developer experience.
  • Contribute to our data security and compliance posture in line with healthcare regulatory standards (ISO 27001, GDPR).
  • Help define our longer-term data platform strategy as the team grows.

What we're looking for

  • Solid experience as a data engineer or backend engineer working on production data systems.
  • Strong SQL and strong Python for data work, including with large or distributed datasets.
  • Experience designing and operating data pipelines in production – ingestion, transformation, orchestration.
  • Experience with cloud data platforms, ideally AWS. Hands-on experience choosing and standing up a warehouse or lakehouse (e.g., Redshift, Snowflake, Databricks, BigQuery, or comparable) is highly valued.
  • Familiarity with modern transformation and orchestration tooling – dbt, plus orchestration such as Airflow, Dagster, Step Functions, or equivalent.
  • Infrastructure-as-code experience (e.g., Terraform/CloudFormation/CDK) and a habit of managing data infrastructure the same way.
  • You've worked somewhere that grew quickly and felt first-hand how data systems built for an earlier stage start to creak – and you know how to rebuild them without bringing the business to a halt.
  • Comfort working in a small team where you'll make architectural decisions, not just execute them.
  • Clear communication – you'll work with engineers, analysts, and clinical/operational stakeholders.

Nice to Have

  • Experience in healthcare or other regulated industries (ISO 27001, GDPR, HIPAA).
  • Experience with data governance at scale: classification, masking, fine-grained (row/column-level) access control, and audited access patterns.
  • Experience being an early data engineer at a startup.
  • Background in data quality, observability, or platform engineering.

Benefits

    • Competitive compensation
    • Opportunity to make a meaningful impact on healthcare outcomes
    • Collaborative, inclusive culture focused on learning and innovation
    • Ongoing professional development in emerging data technologies
    • Flexible working with a commitment to work-life balance

Company Benefits

  • Private Pension
  • Share Options scheme
  • Generous sick and maternity/paternity leave
  • As much freedom and independence as you earn, and a chance to grow rapidly as the company does.
  • Flexi and hybrid working
  • Company's office in Paddington - easy commute and comfortable surroundings
  • We’ll equip you with laptop and any necessary gear.
  • Motivated, highly functioning, multi-disciplinary team

Interview Process

  1. 30 minute initial chat
  2. 60 minute technical deep dive
  3. 60 minute systems design discussion
  4. Final in-person interview with founders

Skills of candidates in conversation

AWS
Python
SQL
PostgreSQL
Data Modeling
I
Product Analytics Lead
Active 2 days ago
Data Engineer at Abtrace
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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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