Hargreaves Lansdown

Solutions Engineer

• Engage closely with business stakeholders and cross‑functional technical teams to understand current and future integration needs
• Help define and shape forward looking integration and API patterns that scale across the organisation
• Translate business objectives into pragmatic integrations and data solutions, ensuring delivery is value‑led rather than purely technology‑driven
• Influence integration architecture decisions by balancing strategic direction, delivery feasibility, and measurable business outcomes
• Act as a trusted technical partner to the business, clearly articulating trade‑offs, benefits, and opportunities related to integration approaches
• Lead the design and implementation of cloud‑native integration solutions using modern AWS services and patterns
• Build and maintain secure, scalable, and reusable APIs that expose core business and data capabilities
• Apply API‑first and contract‑driven design principles to support long‑term reusability and governance
• Implement synchronous, asynchronous, and event‑driven integration patterns as appropriate
• Own and lead the engineering delivery of core data hubs and integration‑led data pipelines
• Design and implement reliable, high‑quality data pipelines aligned with HL’s SDLC and architectural principles
• Collaborate with the Data Platform team to ensure solutions align with AWS and Snowflake standards
• Contribute to the consolidation and distribution of key data domains into reusable data products
• Design and implement automated testing strategies across integrations, APIs, and data pipelines
• Drive towards a gold‑standard, fully automated testing suite , including unit, integration, data quality, and contract testing
• Embed build, test, and deployment processes into CI/CD pipelines using DevOps best practices
• Ensure solutions are observable and production‑ready through logging, monitoring, alerting, and resilience patterns
• Work across integration, data, and platform teams to enable consistent engineering patterns and standards
• Support HL’s transformation programmes by leading solutions for reliable, real‑time, and batch data movement
• Influence integration and data engineering best practices across the team
• Provide technical leadership and mentoring to other engineers where required

Senior Integration Engineer

Platform Engineer

• Design, build, and evolve platform capabilities that power scalable, secure, and highly reliable cloud solutions.
• Apply strong platform engineering principles to create automated, reusable, and self-service solutions that improve developer experience and enable teams to deliver faster and more consistently.
• Drive high-quality platform design and engineering standards.
• Enable automation, reliability, and cost optimisation at scale.
• Embed best practices that simplify and standardise how we build and run services.
• Play a key part in mentoring and supporting engineers, influencing technical direction, and collaborating across teams to deliver high-quality, cloud-native solutions aligned with HL goals.

Senior Platform Engineer

Cloud Engineer

• Mature the cloud architecture strategy, defining architectural standards and best practices for deployment and management.
• Develop and maintain reference architecture assets e.g. roadmaps, blueprints and patterns that are aligned with the HL vision and strategy for cloud platforms.
• Lead the AWS design of secure and scalable cloud platforms, ensuring resilience and cost efficiency.
• Collaborate with security, compliance, and engineering teams to ensure seamless cloud integration with existing and future platforms.
• Develop and mature robust technical governance for AWS including cost optimisation and compliance.
• Manage any architectural issues (e.g. technical debt), risks and escalations, documenting and raising via the appropriate governance structures.
• Advise on cloud platform topics, migration strategies, and cloud solutions (cloud native and hybrid).
• Support operational and engineering colleagues through identifying opportunities to optimise cloud resources, performance and cost through continuous monitoring and automation.
• Ensure compliance with relevant frameworks, including ISO 27001, PCI DSS, and UK financial regulations.
• Support cloud capabilities internally through the mentoring of new colleagues and technical teams such as Operations and Engineering, on strong architectural discipline, cloud best practices, DevOps, and infrastructure-as-code approaches.
• Evaluate and recommend cloud services, tools and technologies.

Cloud Platform Architect

Product Manager

• Set and communicate a clear product vision and strategy for your product areas, aligned to business objectives and client needs
• Lead journey digitisation and automation initiatives, replacing manual and paper-based processes and reducing client contact
• Drive measurable improvements in conversion, completion times and Net Ease, using funnel analytics and client insight to prioritise the backlog
• Use market research, competitor analysis and client feedback to identify new product opportunities and improve existing client journeys
• Create and maintain a detailed product roadmap, prioritising features and initiatives based on strategic impact, client value and technical feasibility
• Turn business requirements into clear product specifications, user stories and acceptance criteria
• Work closely with engineering, design, marketing and operations teams throughout the product lifecycle, from ideation through to launch and optimisation
• Partner with operations and helpdesk teams to identify and remove avoidable contact, manual work and failure demand from transfer journeys
• Champion your products by communicating updates, benefits and value to internal stakeholders and external clients
• Monitor product performance using relevant metrics and data, identifying opportunities for improvement and future development
• Manage stakeholder expectations and build strong relationships with key business partners
• Ensure products comply with relevant regulatory requirements within the financial services industry.

Digital Product Manager

Data Scientist

• Direct the full lifecycle of data science projects, from ideation and hypothesis testing to model development, deployment, and ongoing performance monitoring / compliance adherence, across the following model types:
• Propensity Models: To identify clients most likely to invest further, take up new products, or be at risk of churn, with ongoing feedback loops to ensure that the outputs are utilised and optimised over time.
• Next Best Action (NBA): To guide client interactions, campaigns and outcomes, including supporting targeted support (where relevant).
• AI & Machine Learning: Champion the ethical and effective use of Gen-AI, AI and ML to improve model performance, automate processes and drive incremental insights.
• Develop the client Insights, nudges & alerts strategy with business input and ensuring alignment with CRM, targeted support, Martech and Digital team activities.
• Synthesise data from multiple sources (transactional, behavioural, demographic) to build a 360-degree view of the client, understanding their needs, goals, and behaviours.
• Design, develop, and implement a system of automated, personalised and prioritised client insights, nudges and alerts to:
• Encourage positive financial behaviours (e.g., utilising tax allowances, diversifying portfolios, avoiding detrimental trading)
• Highlight relevant opportunities (e.g., IPOs, regulatory changes, new product launches, market updates)
• Proactively address potential issues (e.g., large cash balances, portfolio imbalances)
• Guide clients towards app and online functionality to help them with their needs.
• Across these, the Head of Data Value labs will work with the CRM team to assess how to deliver personalisation at scale to integrate these insights, nudges and alerts into the client journey across all digital touchpoints (app, web, email) to create a truly personalised and relevant experience.
• Collaborate with the business to unlock processes through data and the capabilities of the broader data marketplace.
• Champion efficiencies and develop repeatable delivery models to drive out manual processes, reporting and calculations to reduce costs and operational risks, working with Risk colleagues to ensure that development is in line with policy and regulatory requirements.
• Build a High-Performing Team: Recruit, mentor, and lead a world-class team of analytics professionals, fostering a culture of curiosity, innovation, and commercial focus.
• Define and align the roadmap: Develop and own the strategic roadmap for analytics, ensuring it is aligned with the company's overarching commercial goals.
• Champion Data Culture: Be an advocate for data-driven decision-making across the organisation, effectively communicating the value and potential of analytics to all stakeholders.
• Stakeholder Management: Build strong, collaborative relationships with key stakeholders across the business, including the Executive team, Marketing, Product, Technology, and Finance.

Head of Data Value Labs

Full-stack Engineer

• Help deliver the migration of our identity services to a new strategic platform.
• Shape how millions of customers securely access our products and services.
• Make delivery easier for internal teams.
• Advocate for continuous improvement within the team including for the quality, security and performance and the CI/CD processes.
• Document all solutions, as well as driving architectural decisions within the team.
• Cultivate strong working relationships both within the team and across HL as a whole.
• Actively participate in working groups and communities of practice designed to support the development team.
• Provide engineering support for existing applications when necessary.
• Proactively coach & mentor to peers.
• Evangelise best practices and assist the team in avoiding anti-patterns.

Senior Integration Engineer

Senior Platform Engineer

Cloud Platform Architect

Digital Product Manager

Head of Data Value Labs

Senior Software Engineer – Identity