Lo:Tech on cord

Lo:Tech

Data Quality Engineer

External position
London, UK
Hiring internally for Lo:Tech?
FinTech · Blockchain
LO Tech is a London-based venture-backed company at the forefront of digital asset trading technology.
Posted
a month 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: Data Analysis, SQL, Python, Data Pipelines
Other skills considered: Automations, APIs, CI/CD, Terraform

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: On-site
Visa sponsorship: Not available

Job Description

We are looking for a Data Quality Engineer with strong analytical instincts and an unusually high attention to detail. You should care about whether data is correct, not merely whether a pipeline is technically running.

You will own the systems we use to monitor and understand the quality of our live and historical market data products. That means building dashboards, defining quality metrics, investigating anomalies and making it obvious when something has gone wrong before a client has to tell us.

Prior experience in high-frequency trading is not required. Experience working with data products, real-time systems, financial data or other high-volume datasets is highly valued.

We like people with an entrepreneurial spirit and the belief that any problem, no matter its complexity, can be understood and addressed.

This position offers a distinct chance to take ownership of the quality and visibility of a rapidly growing market data product. You will collaborate closely with the engineering, trading and commercial teams, assuming responsibility for specific areas from the outset.

The role affords ample opportunity for proactive engagement in shaping your duties and making meaningful, enduring improvements to how we monitor, validate and communicate data quality.


What you will work on

  • You'll own the dashboards and quality controls that tell us whether the data clients depend on is correct.
  • Build and maintain dashboards covering live exchange feeds, historical datasets, venue health, latency, gaps, completeness and data delivery.
  • Define the metrics that actually describe data quality. Not just whether a service is up, but whether the numbers coming out of it make sense.
  • Validate and reconcile order books, trades, funding rates, derivatives data and other market data across CEX and DEX venues.
  • Investigate gaps, stale feeds, duplicates, crossed books, schema changes, unusual prices and all the other ways exchanges do exchange things.
  • Build automated checks for both live and historical data, and make failures easy to understand rather than producing incoherent alert spam.
  • Work with engineering to identify the root cause of issues, verify fixes and make sure the same problem does not quietly return.
  • Own the internal visibility around client-facing data quality, so we know something has slipped before a client does.
  • Help define and report against the SLAs behind our APIs, feeds and historical datasets.

Requirements

  • 2+ years working with data quality, data analytics, QA, data operations or data engineering in an environment where other people depended on the output. Not coursework, not a dashboard nobody looked at.
  • Strong SQL and enough Python to analyse datasets, automate checks and investigate issues independently.
  • Experience building useful dashboards and visualisations for operational or data-quality monitoring. We care less about which tool you used and more about whether the dashboard helped someone understand what was happening.
  • A real instinct for data quality - you notice when numbers are subtly wrong, not just when a job fails loudly.
  • Comfortable working with large datasets and comparing data across sources, time periods and systems.
  • Able to investigate an issue methodically, explain what happened clearly and follow it through until it is actually resolved.
  • Comfortable on the command line and working alongside engineers, even if you are not expected to build production systems in Rust.
  • Sharp, curious, low ego and allergic to corporate posturing. You'll be close to the people who depend on your work, so you'll hear about it quickly either way.

Nice to have

  • Crypto, trading, or market microstructure exposure. If you know what an order book is and why a tick matters, say so.
  • Exchange APIs and real-time/streaming systems (Kafka, Redpanda, NATS).
  • Time-series stores (ClickHouse, kdb+) and the Arrow/Parquet world.
  • Infrastructure-as-code (Terraform) and CI/CD.
Data Quality Engineer at Lo:Tech
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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