Parity Work, Jobs in London, Eng (with Salaries)

QA Engineer
Sagacity —London
- Full-time
- Hybrid work
- SQL
- Presentation skills
- Agile
Quick apply
Technical Support Engineer - Industrial Placement 2027 (12-months)
Verkada —London
- £40,000 - £41,600 a year
- Full-time
- Computer Science
- Engineering
- Master's degree
- Annual leave
Head of User Experience (UX)
Alfa Financial Software —London
- Full-time
- Salesforce
- Leadership
- HTML
- Paid training
- Annual leave
10d
Site Reliability Engineer
GoCardless —London
- £78,400 - £117,600 a year
- English
- AWS
- Software development
Staff Frontend Engineer (React Native / Mobile)
Feeld —London
- £80,000 - £130,000 a year
- Full-time
- Remote
- AWS
- Mentoring
- Leadership
- Annual leave
- Flexible schedule
Quick apply
DevOps Engineer
Bell Integration United Kingdom —London
- Hybrid work
- Azure
- SQL
- AWS
2d
Revenue Executive
Montcalm Collection —London
- £30,000 a year
- Full-time
- Microsoft Excel
- Hotel
- Analysis skills
- Employee assistance programme
- Employee discount
Quick apply
5d
Data Engineer - Audience Measurement
Ipsos —London
- AWS
- Contracts
- Python
- Annual leave
Senior Data Scientist, Fraud Prevention
GoCardless —London
- £99,200 - £148,800 a year
- Doctoral degree
- SQL
- Machine learning
Client Services, eDiscovery Project Manager
Epiq Systems, Inc. —London
- Full-time
- Remote
- Project management
- Leadership
- Communication skills
2d
Product manager
Pugpig —London
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
Senior Product Designer (Native Components)
Yes.com —London
- Full-time
- Remote
- JavaScript
- AI
- Communication skills
Quick apply
Amazon Manager - EMEA
Pixi Beauty —London
- From £70,000 a year
- Full-time
- Management
- ERP systems
- Data analysis skills
Quick apply
Head of E-Commerce
The Langham London —London
- Full-time
- Hospitality
- Hotel
- HTML
- Employee assistance programme
- Employee discount
Quick apply
Revenue Manager (12 Months FTC)- UK
Marriott International, Inc —London
- Full-time
- Remote
- Microsoft Powerpoint
- Microsoft Excel
- Restaurant management
Microsoft Biz Apps Technical Lead (Power Platform and Dynamics CE)
Hitachi Solutions —London
- Full-time
- Azure
- Oracle
- DevOps
Quick apply
Lead JavaScript Engineer - Encore Musicians
Mixcloud —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- AWS
Quick apply
12d
Android Engineer
Starling —London
- Full-time
- Hybrid work
- Java
- IT
- Annual leave
- Employee discount
Quick apply
Group Revenue Analyst
HandPickedHotels —Sevenoaks Town and St. John's
- Monday to Friday
- Hotel
- Employee assistance programme
- Sick pay
Senior iOS Developer - 6 Month FTC
Moneybox —London
- Hybrid work
- APIs

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QA Engineer

Sagacity -
London

Quick apply

Job details

Permanent | Full-time

Qualifications

Spark
Git
Data testing
SQL
Presentation skills
Unity
Agile
AI

Full 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

What success looks like in the role

Client datasets are validated end-to-end before delivery, with no material data quality escapes reaching UAT or production
Test failures are investigated quickly, described clearly, and handed to developers with enough evidence that they can reproduce and fix without back-and-forth
ClickUp boards reflect the current state of QA - no stale or phantom issues, and Dev Issues are closed promptly when tests go green
Clients and internal stakeholders feel well-informed and reassured about QA rigour, without needing to ask twice
SPHERE improves over time because gaps in the platform are named, specified, and tracked - not just worked around
QA coverage expands naturally with each deployment increment rather than lagging behind

Competencies & Behaviours

Technical

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

Experience

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

Quick apply

Refine Your Search

parity jobs in london, eng

QA Engineer

Technical Support Engineer - Industrial Placement 2027 (12-months)

Head of User Experience (UX)

Site Reliability Engineer

Staff Frontend Engineer (React Native / Mobile)

DevOps Engineer

Revenue Executive

Data Engineer - Audience Measurement

Senior Data Scientist, Fraud Prevention

Client Services, eDiscovery Project Manager

Product manager

Senior Product Designer (Native Components)

Amazon Manager - EMEA

Head of E-Commerce

Revenue Manager (12 Months FTC)- UK

Microsoft Biz Apps Technical Lead (Power Platform and Dynamics CE)

Lead JavaScript Engineer - Encore Musicians

Android Engineer

Group Revenue Analyst

Senior iOS Developer - 6 Month FTC

I want to receive the latest job alerts for parity in london, eng

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