Sagacity on cord

Sagacity

QA Engineer

External position
London, UK
Hiring internally for Sagacity?
Data · Consultancy
We're not just a data company We help clients maximise the value of their customers by joining the dors between data, people, policies, processes and system.
Posted
a month ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: QA Automation Tester
Experience level: Mid, Senior
Core skills considered: SQL, Databricks, Pyspark, Git
Other skills considered: Agile, Automated Testing, Data Pipelines, Data Analysis

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

You will own the quality assurance of Sagacity's client data platform deployments - the Databricks Lakehouse pipelines, gold-layer views, and analytics datasets that drive marketing, billing, credit and debt outcomes for our clients across financial services, retail, energy, telecoms & media, water, and the not-for-profit sector. Working closely with our Data Engineers, Platform Engineer, UAT teams, and client stakeholders, you will design and execute structured test programmes using SPHERE (Sagacity's internal QA platform), interpret results, triage failures, and provide confident assurance that the data leaving our platform is accurate, complete, and fit for purpose.

A typical day will see you working alongside AI agents for authoring tests, analysing results, and managing work items - treating AI-assisted tooling as a first-class part of your workflow rather than a novelty.


Responsibilities

  • Author, run, and maintain test plans across all phases of client deployments - schema validation, referential integrity, row volume checks, data quality rules, and migration parity - using SPHERE's YAML-driven test framework
  • Investigate test failures systematically: trace root causes through the Databricks Lakehouse stack (bronze silver gold), distinguish pipeline bugs from data issues, and produce clear, evidenced findings for the development team
  • Manage QA work items in ClickUp throughout the delivery lifecycle - logging failures, tracking resolutions, promoting confirmed bugs, and closing issues when re-tests pass
  • Collaborate with Data Engineers to agree expected behaviours, review data contracts, and validate fixes before they reach UAT or production
  • Coordinate with UAT stakeholders to align acceptance criteria and share QA findings in a way that non-technical audiences can act on
  • Provide client-facing QA assurance - joining delivery meetings to explain our testing approach, walk through results, and answer questions on QA methodology, coverage, and process
  • Identify gaps and improvements in SPHERE - raise well-specified change requests and feature requests; contribute to the platform codebase where appetite and skill allow
  • Keep QA coverage current as new views and data sources are onboarded - updating baselines, refreshing metadata, and extending test coverage without being asked
  • Engage with AI agents for test authoring, investigation, result analysis, and documentation - working fluently in an AI-augmented engineering environment

Requirements

  • Strong SQL skills - comfortable writing and reading complex analytical queries (window functions, CTEs, aggregations) to interrogate data and verify correctness
  • Hands-on experience with Databricks - running queries, navigating Unity Catalog, reading Spark job outputs and understanding what they mean for data quality
  • Working knowledge of PySpark or Spark SQL - enough to read pipeline code, understand transformations, and trace where data issues originate
  • Understanding of Lakehouse / medallion architecture (bronze-silver-gold) and how data flows and changes shape across layers
  • Familiarity with YAML-based configuration and a willingness to author structured test definitions programmatically
  • Comfortable with Git and basic engineering practices - branching, committing, reading diffs, and understanding what changed between pipeline versions
  • Experience with or appetite for AI-assisted workflows - working with large language model agents as a genuine productivity tool, not just for curiosity
  • 3-5+ years in a data quality, data testing, analytics engineering, or data engineering role with a strong quality focus
  • Demonstrable experience investigating data issues in a complex, multi-source environment and communicating findings clearly
  • Exposure to structured test frameworks, data observability tooling, or formal QA methodology in a data context
  • Experience working directly with development teams in an agile or iterative delivery environment
  • Client-facing or stakeholder-facing experience - comfortable presenting technical findings to non-technical audiences

Company Benefits

  • 25 days annual leave allowance, increasing with length of service
  • Perkbox benefits and rewards for discounts and savings
  • Health Shield for health and wellbeing benefits
  • Length of service awards at 2, 5 and 10 year Flexible working between home and the office
  • Annual leave buy/sell scheme for up to 5 days of entitlement
  • Cycle to work scheme for a healthier lifestyle
  • Pension scheme to look after your future
QA Engineer at Sagacity
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
Alex Yeates on cord
Message Alex Yeates at Starling Bank
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