data engineer

senior software engineer

senior data scientist

senior data engineer

analytics engineer

junior business intelligence developer

Network Rail Consulting

<div></div><div><div>Network Rail Consulting (NRC) is the international consultancy arm of Network Rail &ndash; the owner and operator of Britain&rsquo;s mainline rail system. We have been active in the North American, Australian and the Middle East markets since 2013 and have successfully delivered more than 150 consultancy contracts for government, public and privately owned organisations.

In our office based in Waterloo station, we are looking for a Junior Business Intelligence Developer to support the design, development, and maintenance of data systems that transform raw data into meaningful insights. Working under the guidance of senior team members, the role contributes to building data pipelines, reports, and dashboards to support informed business decision-making. 


Key Accountabilities: 

<div>
<ul><li>Support development of data warehouses, ETL processes, and BI solutions.</li></ul>
<ul><li>Develop and maintain reports and dashboards.</li></ul>
<ul><li>Perform basic data analysis and identify trends.</li></ul>
<ul><li>Assist in data validation and quality assurance.</li></ul>
<ul><li>Collaborate with stakeholders to understand requirements.</li></ul>
<ul><li>Continuously develop technical and analytical skills.</li></ul></div> 


Job Skills:
<ul>
<li>Exposure to BI tools such as Power BI or Tableau.</li>
<li>Working knowledge of SQL and relational databases.</li>
<li>Exposure to ETL concepts and techniques.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Good communication skills.</li></ul> 


NRC is an Equal Opportunity Employer. We welcome applications from all qualified candidates regardless of age, race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or veteran status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</div></div><div></div>

Junior Business Intelligence Developer

Liberis

<div>Some key info for you about Liberis:

 We were founded in 2007

 We have provided over $3bn of funding to small businesses so far

 We have been named in CNBC &amp; Statista Top 150 UK Fintechs for 2025

 We're a global team, with a dynamic presence in 6 key locations around the world

 We're a thriving community of over 290 innovative minds

 We're a vibrant melting pot, celebrating over 27 nationalities in our team

 Our team brings experience from over 740 previous companies, from startups to global giants

 We have just been named as one of FinTech's Finest 50 by Welcome to the Jungle

 We're proud to be an accredited Real Living Wage employer, ensuring everyone is paid fairly for the great work they do! 


Our Product &amp; Engineering Team:

Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech with teams in London, Nottingham, Atlanta, Stockholm, Munich and Mumbai, and we're building a global Product, Data &amp; Engineering team that thrives on autonomy, ownership, and is focused on impact! Our teams solve real-world problems for small businesses, shaping products that unlock opportunity at scale.

Engineering is going through an AI-first transformation, rethinking how teams are structured and how they ship. It's changing what a small team can do! We empower our teams to make decisions, move fast, and take full responsibility for the solutions they deliver. You'll join a team where curiosity is encouraged and collaboration across Product, Data, Delivery and Engineering is the norm. 


About our Data &amp; Insights Team:

We exist to build the data platforms and analytics that enable every decision at Liberis to be data-informed&mdash;and increasingly, to power AI and ML capabilities across the company!

We're building composable, reliable data platforms that scale&mdash;from ingesting partner transaction data and event streams, to powering analytics dashboards, to feeding ML models with real-time features. We're also supporting the AI/ML platform team with reliable, low-latency feature pipelines and model serving infrastructure.

We're collaborative, pragmatic, and we value moving fast by fixing the right problems&mdash;not over-engineering, but building to last! 


The team is made up of three functions:

Data Platform Engineering: Building and scaling ELT pipelines, managing data infrastructure on GCP, and creating the foundation for analytics and ML feature stores. You'll be part of a small, high-performing team of platform engineers focused on reliability, scale, and developer velocity.

Analytics Engineering: Transform raw data into trusted models using DBT and SQL, powering self-serve analytics and business intelligence for stakeholders across the company.

Data &amp; Business Intelligence: Build dashboards, partner-facing reports, and insights that drive business decisions and revenue outcomes. 


What you'll get to do in the role:
<ul>
<li>Design, build, and maintain resilient data pipelines that ingest data from Azure SQL, SaaS platforms, and event streams into BigQuery.</li>
<li>Write Python code using DLT to define declarative, testable, version-controlled pipelines - no low-code tools, real engineering.</li>
<li>Build and operate ML feature pipelines - low-latency, real-time data streams that feed ML models with accurate, fresh features.</li>
<li>Own the operational health of systems you build - monitoring, alerting, error handling, and incident response. When the data pipeline goes down, merchant credit decisions and ML model predictions suffer.</li>
<li>Collaborate with analytics engineers to understand data needs, validate schema design, and establish data quality standards that both analytics and ML rely on.</li>
<li>Partner with the AI/ML platform team to design feature stores, streaming feature infrastructure, and model serving pipelines that power Liberis' decisioning engine.</li>
<li>Identify and execute optimisation work - improving performance, reliability, and developer velocity without rearchitecting stable systems.</li>
<li>Mentor junior engineers, helping them grow as engineers and supporting their career development.</li>
<li>Participate in technical decisions about platform direction - infrastructure choices, tooling, architecture trade-offs.</li>
<li>Work cross-functionally with product teams, analytics engineers, BI specialists, and the ML platform team to shape data requirements and platform capabilities.</li></ul> 


What we think you'll need:
<ul>
<li>Proven experience within data engineering roles -building and operating data pipelines at scale</li>
<li>Hands-on experience building Modern Data Stack architectures - you understand the layers: ingestion, warehouse, transformation, orchestration, reverse ETL. You've worked with tools like DLT/Fivetran/Airbyte (ingestion), BigQuery/Snowflake/Redshift (warehouse), DBT (transformation), Airflow/similar (orchestration).</li>
<li>Strong Python programming - you write clean, testable, maintainable code with solid error handling and logging.</li>
<li>Fluent SQL - you can write complex queries, understand execution plans, and optimize for performance and cost.</li>
<li>Experience with cloud data platforms - you've built data warehouses in BigQuery, Redshift, Snowflake, or similar; you understand distributed processing, partitioning, cost optimization, and data governance.</li>
<li>Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi) or equivalent - you version control infrastructure and deploy it via CI/CD pipelines.</li>
<li>Experience working in fast-moving environments where requirements evolve and you adapt quickly without losing sight of reliability.</li>
<li>Understanding of DevOps principles - you think in terms of observability, resilience, incident response, and operational excellence. You can set up monitoring and alerting that actually matters.</li></ul> 


Bonus points if you have:
<ul>
<li>Experience with DLT or similar declarative ELT frameworks; experience with Google Cloud Platform ecosystem (BigQuery, Cloud Run, Pub/Sub, Dataflow); experience with Kafka, Pub/Sub, or event streaming platforms; experience scaling data systems from 0 to 100M+ events/day; experience implementing data quality frameworks (Great Expectations, dbt tests, custom monitoring); background in fintech or high-stakes data reliability environments where data quality directly impacts revenue.</li>
<li>Experience working with distributed, asynchronous teams across timezones; experience in India tech ecosystem or building in resource-constrained environments; experience migrating from legacy data infrastructure (Azure ADF, traditional ETL) to modern cloud-native stacks.</li></ul> 

<div>
Career development is really important to us here at Liberis, with progression opportunities for both individual contributors and people managers. You can have a look through our Engineering Career Framework via this link</div>
<div> 
Our hybrid approach 
Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office. 
 
#LI-FC1</div></div>

Lead Data Engineer

Universal Music Group

<div>Music is Universal 
 
It&rsquo;s the passionate and dedicated team at Universal Music who help make us the world&rsquo;s leading music company. From A&amp;R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.
Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.
We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email UniversalMusicCareers@umusic.com.
Department
With a global footprint, the Universal Music Group Royalty and Copyright Product Team designs, develops, delivers and maintains a number of technical solutions to calculate royalty accountings in a timely and accurate manner to our valued artists. We&rsquo;re also providing them with an extent and detailed visibility of these earning from various sources of digital incomes.
The team continuously collaborates with our international business teams to deliver innovative solutions as well as supporting best practices and new processes for a better royalty flow.
The Role
The Senior Developer will be responsible for developing and maintaining React UI components using our internal frontend framework as well as backend services using Java. The Senior Developer will also work with containerised workloads on Kubernetes, and have exposure to modern DevOps and CI/CD practices.
The Senior Developer will be part of an agile product team, collaborating closely with product owners, business analysts, engineers, architects, QAs and DevOps to deliver secure, performant and reliable solutions.
Key Responsibilities
Be Technical
<ul><li>Develop modern web UIs with React and integrate them with backend services.</li><li>
Develop application using Java and Spring MVC, Spring Boot.</li><li>
Develop and support AWS serverless solutions (e.g. Lambda, API Gateway, Step Functions, DynamoDB, S3).</li><li>
Work with Docker and Kubernetes to build, deploy and run containerised services.</li><li>
Contribute to the design and implementation of scalable, secure and resilient cloud architectures.</li><li>
Work with DevOps engineers to enhance CI/CD pipelines, automated testing and deployment processes.</li><li>
Model and optimise data across SQL and NoSQL stores.</li></ul>
Be Collaborative
<ul><li>Drive code quality: write clean, efficient, well-documented and reusable code.</li><li>
Participate in code reviews, technical discussions and agile ceremonies.</li><li>
Troubleshoot production issues and improve monitoring, logging and alerting across services.</li><li>
Collaborate with stakeholders to refine requirements and deliver high-quality solutions on time.</li><li>
Build positive relationships with rest of development teams.</li><li>
Strong communication, and interpersonal skills.</li></ul>
Skills and Experience required
Must have<ul><li>
Strong commercial experience with Java backend development and modern React development using TypeScript.</li><li>
Proven experience building solutions on AWS, ideally including serverless services (Lambda, API Gateway, DynamoDB, etc.).</li><li>
Experience with Docker and Kubernetes for container orchestration.</li><li>
Good understanding of DevOps concepts, with practical experience using Git and working with CI/CD tooling (e.g. GitHub Actions, Azure DevOps, GitLab CI or similar).</li><li>
Experience with both SQL (e.g. SQL Server, PostgreSQL, MySQL) and NoSQL databases (e.g. DynamoDB, MongoDB).</li><li>
Comfortable working in an agile environment (Scrum/Kanban).</li><li>
Strong problem-solving skills, attention to detail and a collaborative mindset.</li><li>
Ability to take ownership, solve complex problems and mentor more junior engineers where required.</li></ul>
Nice to have<ul><li>
Knowledge of microservices and event-driven architectures.</li><li>
Experience with Angular.</li><li>
Familarity of Storybook or similar documentation tooling.</li><li>
Experience with Infrastructure as Code (e.g. CloudFormation, CDK, Terraform).</li><li>
Any experience with MCP (Model Context Protocol) and/or MLOps (e.g. model deployment pipelines, monitoring and lifecycle management) is highly desirable.</li><li>
Exposure to Big Data tools/platforms and data pipelines (streaming and/or batch) is strongly preferred.</li><li>
Understanding of compliance requirement around SDLC, ITGC and ITAC.</li></ul>
Key Behavioural/Personality Traits
The Senior Developer will demonstrate strong collaboration skillset with the rest of the development team, as well as producing high-quality code and showing initiative by identifying solutions to increase productivity.
About UMG UK
We are Universal Music Group UK &ndash; the UK&rsquo;s leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world.
Bonus Tracks: Your Benefits<ul><li>
Group Personal Pension Scheme (between 3% and 9%)</li><li>
Private Medical Insurance</li><li>
25 paid days of annual leave</li><li>
Interest Free Season Ticket Loan</li><li>
Holiday Purchase scheme</li><li>
Dental and Travel Insurance options</li><li>
Cycle to Work Scheme</li><li>
Salary Sacrifice Cars</li><li>
Subsidised Gym Membership</li><li>
Employee Discounts (Reward Gateway)</li></ul>
Just So You Know&hellip;
The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.<h2 class="jobSectionHeader"> 
Job Category:</h2>
Universal Music Group</div>

Senior Developer

MarketCast

<div>
 
 Junior Data Scientist - Product
 
 
 
 
 London, UK, Reading, UK
 
 
 
 
 Role Impact
 
 
 
 As our Junior Data Scientist - Product, you'll be a pivotal player on our Data Science Product Team, which currently comprises about 15 data scientists with varying levels of seniority.
 
 
 The Junior Data Scientist - Product plays a foundational role in supporting the design, engineering, execution, and delivery of advanced data science projects and market research products at Marketcast. Operating at the intersection of quantitative market research, software engineering, and artificial intelligence, this position focuses on building the backend systems and data pipelines that clean, process, and analyse complex datasets to extract actionable consumer insights. On a daily basis, the Junior Data
 
 
 Scientist assists in writing production-quality code, developing and maintaining data pipelines, implementing machine learning models, and translating analytics into robust, reusable product features under senior guidance. By ensuring high data quality, engineering rigour, and contributing to innovative product features, this individual directly enhances the reliability and scalability of the organisation's media and entertainment analytics.
 
 
 
 We're Looking For
 
 
 
 <ul>
 <li>
 Data Engineering and Pipeline Development &ndash; Design, build, and maintain reliable data pipelines that clean, preprocess, and structure complex quantitative datasets using Python, SQL, pandas, and modern data tooling. This technical processing is performed systematically and reproducibly, with an emphasis on well- structured, version-controlled, and testable code to prepare raw survey and consumer data for downstream statistical models. Ensuring clean inputs and resilient pipelines directly prevents model drift and maintains the reliability of product outputs. Success in this responsibility is defined by the timely delivery of error-free, analytical-ready, and maintainable data pipelines to senior data scientists.
 </li>
 <li>
 Quantitative Analysis &amp; Modelling - Assist in executing statistical analyses, regression modelling, and audience segmentation under the guidance of senior team members, with a strong emphasis on mathematical rigour and a sound understanding of the methods being applied rather than their black-box use.
 </li>
 <li>
 Backend &amp; Software Development - Contribute to the backend services, APIs, and codebases that power our data products, writing clean, tested, and well-documented code under senior guidance. The analyst works within standard software engineering practices - version control, code review, automated testing, and CI/CD - to ship features that are reliable and maintainable rather than one-off scripts. This software-first approach ensures our analytical work translates into durable product infrastructure. Success is measured by code quality, adherence to engineering standards, and the stability of contributions in production.
 </li>
 <li>
 Infrastructure &amp; Deployment - Support the deployment, monitoring, and scaling of data science workloads across our cloud and infrastructure stack (e.g. containers, orchestration, and managed cloud services) under supervision. The analyst helps operationalise models and pipelines so they run reliably and cost-effectively at scale, contributing to the team's MLOps and engineering practices. This focus on robust infrastructure reduces manual intervention and improves the reliability of our products. Performance is evaluated on the stability, reproducibility, and efficiency of deployed workloads.
 </li>
 <li>
 AI &amp; LLM Integration - Support the integration of artificial intelligence APIs, large language models (LLMs), and natural language processing pipelines into existing data products. Under supervision, the analyst helps configure frameworks to streamline analytical workflows, saving dozens of hours of manual coding on client projects. Performance is evaluated on the efficiency, robustness, and classification accuracy of the automated NLP routines.
 </li>
 <li>
 Data Quality &amp; Validation - Execute rigorous quality control protocols across all assigned data products and research databases, including automated tests and validation checks wherever possible. The Junior Data Scientists systematically validate schemas, sample distributions, and statistical weights to verify data integrity, treating data validation as an engineering discipline. This preventative auditing mitigates the risk of reporting flawed conclusions to high-profile entertainment clients. Successful execution is measured by the complete absence of formatting or calculation errors in final delivery files.
 </li>
 <li>
 Client Collaboration &amp; Technical Delivery &ndash; Work closely with product managers, engineers, and senior data scientists in a collaborative, software-development style &ndash; gather requirements, contributing to technical scoping, and participating in agile ceremonies and code reviews.
 </li>
 <li>
 Cross-Functional Initiative Support - Participate actively in company-wide product development initiatives, research-on-research experiments, and technical thought leadership groups. The Junior Data Scientist collaborates across data operations, cloud engineering, product, and engineering departments to support the trial of new analytical and engineering methodologies. This cross-pollination of ideas ensures the product data science team remains at the forefront of marketing science and technical innovations. Engagement in these initiatives is demonstrated by active participation in internal sharing sessions and support for pilot projects.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 We genuinely don&rsquo;t mind what is written on your certificate. While we would love you to have a formal qualification in any discipline that builds strong analytical and problem-solving skills, we primarily care that you're clever, rigorous, and can do the job. Equivalent practical experience - whether self-taught, through bootcamps, open-source contributions, a strong portfolio, or prior industry work - is just as welcome as a formal degree.
 </li>
 <li>
 A successful applicant must demonstrate solid programming ability (Python and ideally SQL) and an interest in writing good, maintainable software - not just scripts.
 </li>
 <li>
 A successful applicant must further demonstrate a genuine appetite for technical depth, mathematical rigour, and continuous learning.
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, and backed by proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of
 
 
 seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
 
 
 At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Check us out on LinkedIn and at: www.marketcast.com
 
 
 
 Our Values
 
 
 
 
 Move The Needle
 
 
 
 We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
 
 
 
 Client Success is Our Scoreboard
 
 
 
 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
 
 
 
 Grow Every Day
 
 
 
 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
 
 
 
 Own It
 
 
 
 Take responsibility for outcomes, not just outputs.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Free movie tickets!
 </li>
 <li>
 29 days annual leave PLUS Bank Holidays
 </li>
 <li>
 Flextime with core hours between 10am and 3pm
 </li>
 <li>
 2 days&rsquo; work from home per week
 </li>
 <li>
 4% match pension scheme
 </li>
 <li>
 Enhanced maternity pay
 </li>
 <li>
 Regular social events in both UK locations
 </li>
 <li>
 Professional growth and career development including LinkedIn Learning
 
 
 </li>
 </ul>
 In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
 
 
 GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it&rsquo;s used, and how it's protected, please contact the MarketCast UK HR Team.
</div>

Junior Data Scientist I

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>8 years of experience in software development. 
</li>
<li>5 years of experience testing, and launching software products. 
</li>
<li>5 years of experience building developer tools that improve developer velocity, code quality and code health (e.g., compilers, automated releases, code design and testing, test automation frameworks). 
</li>
<li>3 years of experience with software design and architecture.</li>
<li>2 years of experience in a technical leadership or people management role.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>8 years of experience with data structures and algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction. 
</li>
<li>3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The PDEIO (Platforms and Devices Engineering Infrastructure and Operations) Web on Android team is a critical pillar within the Android ecosystem. Our mission is to make the operating system easy to change, hard to break, and highly efficient to ship. We sit at the intersection of OS-level infrastructure and web technology, partnering directly with the Android Framework WebView team to ensure the web platform on Android is fast, stable, and developer-friendly.
We build high-fidelity benchmarking tools, automated triage systems, and release-blocking test suites. We collaborate horizontally across the Android platform and vertically with the WebView/Chromium developers. We value automation over manual toil, AI-driven tooling solutions and tight feedback loops that allow developers to build, test and ship code with confidence.
The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products&mdash;from apps to TVs, from laptops to phones&mdash;that have an impact on people&rsquo;s lives across the world.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Provide technical leadership on projects.</li>
<li>Influence and coach a distributed team of engineers.</li>
<li>Facilitate alignment and clarity across teams on goals, outcomes, and timelines.</li>
<li>Manage project priorities, deadlines, and deliverables.</li>
<li>Design, develop, test, deploy, maintain, and enhance large-scale software solutions. Write and review code, ensuring best practices in AI, testability, efficiency, and accuracy. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Technical Leader, Infrastructure and Operations

Blockchain

<div><div>Blockchain is connecting the world to the future of finance. As the most trusted and fastest-growing global crypto company, it helps millions of people worldwide safely access cryptocurrency. Since its inception in 2011, Blockchain has earned the trust of over 90 million wallet holders and more than 40 million verified users, facilitating over $1 trillion in crypto transactions.</div>
You will operate the Product Security programe for Blockchain.com's internally-developed products across Consumer, OTC and MRE lines. This is a senior, hands-on role: you'll design and run the secure development lifecycle, lead threat modeling and architecture review, own the security debt lifecycle for product engineering teams, and architect the automated pipelines that protect billions in transaction volume. You will embed with product and engineering teams, convert technical findings into business-prioritized remediation, and lift developer capabilities so security is delivered by code and process.

WHAT YOU WILL DO
<ul>
<li>Strategic Security Partnership: Act as a senior security engineer for the different product lines like Consumer, OTC. You will own the security gates for major feature releases and ensure security is integrated from the design phase.</li>
<li>Secure SDLC Operator: Operate and improve the secure development lifecycle. This includes orchestrating SAST/SCA/DAST, streamlining SARIF ingestion, PR review standards, CI/CD security automation, and vulnerability triage workflows.</li>
<li>AI-Driven SDLC Innovation: Research, architect, and safely embed cutting-edge AI utilities and Large Language Model (LLM) agents directly into our secure development lifecycle.</li>
<li>Threat Modelling &amp; Architecture Reviews: Lead STRIDE/attack-tree threat models for sensitive flows including authentication, payment, custody, reconciliation and sign off on security architecture for critical designs.</li>
<li>Product Security Governance &amp; Standards: Translate technical risks and regulatory demands into clear security policies. You will own the creation and upkeep of our Application Security Standards, reference architectures, and compliance-driven secure coding baselines.</li>
<li>Bug Bounty Leadership: Oversee the technical triage and remediation strategy for our Bug Bounty program. You will turn external researcher findings into internal architectural hardening projects.</li>
<li>Release Reviews: Perform deep-dive manual code reviews of security-sensitive Pull Requests, mentor engineers on secure coding patterns, and provide pragmatic remediation guidance.</li>
<li>Advanced Code Auditing: Conduct deep-dive manual and automated code reviews on highly sensitive Java and Kotlin backend Pull Requests.</li>
<li>Security Debt &amp; Remediation Negotiation: Produce data-driven Security Debt packs and negotiate remediation into engineering roadmaps. You will negotiate remediation timelines with Product Owners and Engineering leadership, backed by risk-based data.</li>
<li>Detection &amp; Telemetry Integration: Define application runtime signals (business-logic anomalies, auth anomalies, reconciliation mismatches) and work with SecOps to instrument logs and alerts.</li>
<li>Testing &amp; Automation: Build and maintain product-level test harnesses, fuzzing/property tests and CI checks to prevent regressions for business-critical flows.</li>
<li>Incident Response Support: Provide product-level Incident Response expertise like test forensic runbooks, support reproduction of payment/settlement incidents, and advise on containment/remediation whenever needed.</li>
<li>Metrics &amp; Risk Visibility: Define and own the Product Security metrics (e.g., MTTR for critical vulnerabilities, security debt burn-down, and defect density). You will translate these KPIs into high-level risk reports for the Head of Security and Engineering leadership to drive data-backed resourcing decisions.</li>
<li>People &amp; Process: Coach junior product security engineers and security champions. You will assist the Product Security Lead to define hiring standards and capability plans.</li>
</ul>
WHAT YOU WILL NEED

Must-Haves
<ul>
<li>4+ years total security engineering experience with at least 3+ years focused specially in application/product security or equivalent.</li>
<li>Experience with Web, Mobile, Cloud, Infrastructure Pentests and Red Teaming (e.g., phishing)</li>
<li>Proven track record of shipping security automation using CodeQL/GHAS, Snyk, or similar. You should be intimately familiar with the SARIF ecosystem and ASPM workflows.</li>
<li>Expert-level ability to audit and propose fixes in Kotlin/Java, TypeScript/JS, Python, and familiarity with containerised deployments (Kubernetes).</li>
<li>Strong threat modeling experience and pragmatic architecture guidance for high-stakes financial flows (AuthN/AuthZ, Cryptography, Payments).</li>
<li>Experience building CI checks, test harnesses and lightweight fuzzing/property tests.</li>
<li>Excellent stakeholder skills &mdash; able to negotiate remediation with Engineering Directors and Product owners, balancing security requirements with business velocity.</li>
</ul>
Nice-to-haves
<ul>
<li>Prior fintech/Trading/OTC product security experience or familiarity with custody/signing patterns.</li>
<li>Practical experience designing or deploying AI-assisted security tooling, leveraging LLMs for automated software patch generation, or evaluating vulnerability detection agents within enterprise developer pipelines.</li>
<li>Prior experience operating alongside GRC frameworks, authoring developer-facing security policies from scratch, and building automated policy-as-code gateway integrations.</li>
<li>Public track record of CVEs, security research, or open-source contributions to security tooling.</li>
<li>Advanced credentials such as OSCP, OSWE, CISSP or equivalent.</li>
<li>Experience with on-chain/off-chain integration, payment reconciliation, or smart contract security.</li>
<li>Familiarity with vulnerability management platforms (DefectDojo, Dependabot orchestration) and GRC/Gateway integrations.</li>
<li>Prior contributions to security automation and developer tooling (open source or internal).</li>
</ul>
COMPENSATION &amp; PERKS
<ul>
<li>Full-time salary based on experience and meaningful equity in an industry-leading company</li>
<li>This is a role based in our London office, with a mandatory in-office presence four days per week.</li>
<li>Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year.</li>
<li>ClassPass</li>
<li>Unlimited vacation policy; work hard and take time when you need it</li>
<li>Apple equipment</li>
<li>The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field</li>
<li>Flexible work culture</li>
</ul><div>
Blockchain is committed to diversity and inclusion in the workplace and is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, color, national origin, gender, gender expression, sex, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, and apprenticeship. Blockchain makes hiring decisions based solely on qualifications, merit, and business needs at the time.

You may contact our Data Protection Officer by email at dpo@blockchain.com. Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.

Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Because the European Union Commission has determined that United States data privacy laws do not ensure an adequate level of protection for personal data collected from EU data subjects, the transfer will be subject to appropriate additional safeguards under the standard contractual clauses.

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability. In addition, you may lodge a complaint with an EU supervisory authority.</div></div>

Senior Product Security Engineer

Experian

<div><div>Role Overview</div> 
Experian Consumer Services are looking for a motivated Junior Salesforce Marketing Cloud Developer to support the development, maintenance, and optimisation of our Salesforce Marketing Cloud platform. This is an excellent opportunity for someone who is passionate about CRM technology, digital marketing, and customer engagement.
You will work closely with developers, campaign teams, analysts, and stakeholders to help build and deliver personalised marketing journeys, email campaigns, automations, and integrations within Salesforce Marketing Cloud.
This is a hybrid, London based role (40% in the office) reporting to the Head of CRM Data &amp; Operations.
Important Responsibilities<ul><li>
Help develop and maintain Salesforce Marketing Cloud solutions</li><li>
Build and deploy email campaigns, landing pages, and customer journeys</li><li>
Help create and maintain automations using Automation Studio and Journey Builder</li><li>
Develop SQL queries, data extensions, and segmentation logic</li><li>
Assist with API integrations and data synchronisation activities</li><li>
Support testing, troubleshooting, and bug fixing across SFMC implementations</li><li>
Work with marketing and CRM teams to understand campaign requirements</li><li>
Ensure campaigns follow best practice for deliverability, accessibility, and compliance</li><li>
Maintain documentation for technical processes and solutions</li><li>
Support platform governance, security, and data quality initiatives</li></ul> 
 
<div>Experience and Skills</div> 
<ul><li>Degree in Computer Science, Marketing Technology, Information Systems, or related field; or equivalent practical experience</li><li>
Relevant internships, placements, or junior development experience beneficial</li><li>
Programming background with some understanding of Salesforce Marketing Cloud i.e.<ul><li>
Journey Builder</li><li>
Email Studio</li><li>
Automation Studio</li><li>
Contact Builder</li></ul></li></ul>
Essential<ul><li>
Understanding of HTML/CSS for email development</li><li>
SQL</li></ul>
The following tools / experience will help in this position but are not essential:-<ul><li>
Experience with AMPscript or SSJS</li><li>
Understanding of REST/SOAP APIs</li><li>
Exposure to Salesforce CRM integrations</li><li>
Knowledge of digital marketing concepts and customer lifecycle marketing</li><li>
Salesforce Marketing Cloud certifications (or working towards one)</li><li>
Snowflake</li><li>
Fivetran</li></ul> 
 
<div>About Experian</div> 
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Internal Grade E
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces&trade; 2025 (Fortune Global Top 25), Great Place To Work&trade; in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.<div></div>
Experian Careers - Creating a better tomorrow together</div>

Junior Developer - Salesforce Marketing Cloud

Explore 813+ Junior business intelligence developer in London this July. Find roles across top companies and apply now to boost your career.