Atom Learning on cord

Atom Learning

Data Engineer

External position
Remote anywhere
Hiring internally for Atom Learning?
E-Learning
Online learning platform that combines high quality, teacher-made content with sophisticated technology to keep students on their optimal learning paths
Active
over 6 months ago
Posted
4 days ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Engineer
Experience level: Mid, Senior
Core skills considered: Python, SQL, Data Pipelines, Data Modeling, Cloud Computing
Other skills considered: Big Data, Airflow, dbt, Data Warehousing, Data Architecture

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: Remote
Work from: Anywhere
Working Timezones: (UTC) London +/- 2 hours
Visa sponsorship: Not available

Job Description

We're looking for a Data Engineer to help shape the data platform behind some of our most important products.

Data at Atom isn't simply a reporting or support function. It powers customer-facing products that predict real-world exam outcomes, personalise what children learn next and help teachers understand where to focus their time and attention.

On our busiest days, more than a million new question responses flow through the platform. You'll be one of our go-to specialists for data engineering, taking ownership of how that data is collected, moved, transformed, modelled and made available across Atom.

Your impact will come in two ways. You'll contribute directly to data-powered product features, such as predicted grades, adaptive learning and exam outcome probabilities, while also helping other engineers and teams use data effectively. That might mean solving the data problem behind a new customer feature, helping an engineer navigate an unfamiliar part of the data platform, or creating tooling and patterns that make trusted data easier for everyone to use.

You'll work closely with engineers, product managers, education experts and colleagues across the business to turn complex problems into effective, reusable solutions.

This is a role for someone who wants to build excellent data infrastructure, but also cares deeply about what that infrastructure enables: better products, better decisions and ultimately better outcomes for learners.


What you'll do

  • Build and evolve the data foundations behind customer-facing products, including predictive features, adaptive learning and assessment insights.
  • Own the design, development and ongoing improvement of reliable, scalable data pipelines and models.
  • Shape the technical direction of our data platform and improve how data moves between our application, warehouse and product surfaces.
  • Build clean, well-tested and reusable solutions using Python, SQL and dbt.
  • Improve data quality, observability and reliability so teams can trust the data they use.
  • Work with product, engineering, commercial teams and educational experts to understand problems, shape solutions and measure their impact.
  • Make data easier for others to use by creating clear models, tooling and patterns that help engineers and teams self-serve safely and confidently.
  • Use AI tools and agents throughout your work to research, prototype, investigate and get to better solutions faster.
  • Contribute beyond the data layer where it helps solve a problem effectively, including product features, APIs, internal tools or automation.
  • Review code, share expertise and help raise the standard of data engineering across Atom.
  • Mentor other engineers and help develop data capability across the wider engineering team.

Who you are

  • You thrive in a high-trust, high-autonomy environment with high expectations, and use that freedom with purpose.
  • You focus your judgement and energy on the problems that create the most meaningful impact, whether that's for learners, teachers, colleagues or the wider business.
  • You're collaborative, low-ego and generous with your expertise. You enjoy helping others succeed and making the people around you more effective.
  • You have significant experience designing, building, maintaining and scaling production data pipelines and platforms.
  • You have strong Python and SQL skills and produce clear, maintainable and well-tested code.
  • You understand data modelling, database architecture and the trade-offs involved in building reliable, scalable data systems.
  • You have experience with cloud data warehouses, orchestration tools and transformation frameworks.
  • You take end-to-end ownership of problems from initial discovery through to implementation, monitoring and continuous improvement.
  • You can turn ambiguous requirements into practical solutions while balancing speed, quality and longer-term scalability.
  • You communicate clearly with technical and non-technical colleagues and can make complex data problems understandable.
  • You use AI tools and agents confidently as part of how you learn, investigate and build.
  • You're comfortable working beyond a narrowly defined specialism when that is what the problem requires.

Experience that will set you apart

  • Experience with BigQuery, Airflow and dbt, or equivalent modern data technologies.
  • Experience with CockroachDB, Postgres or other distributed/relational databases, including CDC or event-driven data pipelines.
  • Knowledge of data visualisation preferably Tableau or Metabase.
  • Experience making data safely self-service through internal tooling, analytics platforms or LLM-powered interfaces.
  • Experience supporting product analytics or building data-powered product features.

Company Benefits

  • Competitive compensation with 6 month pay reviews
  • Flexible / fully-remote working
  • Work abroad up to 3 months at a time
  • Full auto-enrolment workplace pension
  • High degree of autonomy and opportunity to become an integral member of a fast growing start up
  • Huge learning opportunities from experienced developers as well as exposure to all business areas of a start up
  • Opportunity to learn new technologies, including machine learning
  • Frequent team dinners and drinks
  • Office in Old Street
  • 28 days holiday + bank holidays
  • Enhanced parental leave
Data Engineer at Atom Learning
Position posted 4 days 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
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