Lithe Consulting Ltd

Lithe Consulting Ltd is seeking an AWS Data Platform Engineer in Manchester, UK for a 6-month contract. The role demands active SC clearance and involves supporting the development and operation of cloud-based data platforms within a secure government environment. The successful candidate will have strong AWS experience and will work on building and optimising cloud solutions, implementing best practices for security, and collaborating with multidisciplinary teams.

Manchester, United Kingdom Posted on 05/15/2026 AWS Data Platform Engineer (Security Cleared) Initial 6-month contract Security Clearance Active SC clearance is essential. Unfortunately, SC eligibility alone cannot be considered. No visa sponsorship is available for this position. Overview Our client is a major technology and transformation services organisation delivering large scale digital and data programmes within the UK public sector. They are seeking an AWS Data Platform Engineer to support the development, integration, automation, and ongoing operation of secure cloud based data platforms within a highly regulated government environment. This is a hands on engineering role suited to someone who combines strong AWS platform capability with modern data engineering experience and a solid understanding of DevOps, automation, and secure delivery practices. The successful candidate will work closely with multidisciplinary engineering and integration teams to build scalable, secure, and automated data platform solutions. Key Responsibilities Build, support, and optimise cloud native data platform solutions within AWS Develop and maintain infrastructure as code using Terraform Support data engineering workloads using Python, Apache Spark, Airflow, and Jupyter notebooks Develop and maintain CI/CD pipelines using GitLab Deploy and manage containerised solutions using Docker Work closely with integration teams across complex government technology environments Implement and maintain security controls, scanning agents, and secure engineering practices Support platform reliability, automation, monitoring, and operational improvements Collaborate with architects, engineers, DevOps teams, and stakeholders across the programme Contribute to technical documentation, standards, and engineering best practice Required Skills & Experience Active SC clearance Strong AWS engineering experience across cloud native services Commercial experience with Terraform and infrastructure automation Experience with Apache Spark and large scale data processing Experience with Apache Airflow workflows and orchestration Experience working with Jupyter notebooks Docker and containerisation experience Experience using GitLab and CI/CD pipelines Knowledge of secure engineering practices and security tooling/scanning Experience working within complex enterprise or government environments Strong problem solving and collaboration skills Experience working within UK central government environments Experience integrating with shared government platforms and integration services Exposure to platform engineering, SRE, or DevOps practices Experience working within agile delivery teams Knowledge of data governance and cloud security best practices Candidate Profile We are looking for pragmatic, delivery focused engineers who are comfortable operating across both platform and data engineering domains. This role would suit someone who enjoys solving complex technical challenges within large scale cloud and data environments and who can work effectively within secure, highly regulated programmes.

Lithe Consulting Ltd is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions. The Senior Data Scientist/Analyst will join a global banking client's developer experience team to turn raw data into insights that drive strategic decisions. The role blends data engineering and analytics, with a focus on building robust pipelines, applying advanced statistics, and delivering strategic reporting.

Senior Data Engineer / Data Analyst Location: hybrid 3 days per week onsite in either London or Sheffield (can be negotiated to 2 days per week for exceptional candidates in exceptional circumstances) Remuneration: either £450/day INSIDE IR35, or £90-£100k permanent employed Description Our client is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions. With programmes running across the UK and Europe, they are expanding their team to support large-scale data science and modelling initiatives This is a Senior Data Scientist/Analyst role within their global banking client's developer experience team, supporting a new organisation-wide analysis initiative. This role sits at the intersection of data engineering and analytics, and requires strong, critical data processing and presentation skills to translate raw, ambiguous data into insights that directly drive strategic decisions across the organisation. Essential Requirements Stakeholder Management & Analysis Drive organisation-wide analysis, autonomously conducting gap analyses and translating ambiguous business needs into clear technical roadmaps. Manage expectations directly with users and data owners, keeping delivery aligned to business priorities. Data Engineering Architect, build, and scale robust data pipelines using Python and SQL across platforms such as BigQuery and PostgreSQL. Work within established team standards for data extraction, complex aggregation, and resilient exception management, contributing to their ongoing improvement. Statistical Analysis & Quality Apply advanced, critical quantitative methods (Pandas, NumPy) to process raw data and derive actionable insights. Implement automated frameworks to ensure enterprise-grade data quality and continuous validation. Strategic Reporting Design high-impact visualisation dashboards using Looker Studio. Go beyond basic reporting to translate raw statistical findings into insights that clearly drive strategic business decisions. Engineering Excellence & Delivery Developer Experience & DORA metrics: A working knowledge of DORA metrics (Lead Time to Deploy, Release Frequency) will be nice. Knowledge of Development Practices/Pipeline/Methodologies will be needed. Nice to Have Knowledge of workflow toolkits such as Apache Airflow, Dagster, or similar. Active use of modern LLMs (Claude, GitHub Copilot) to accelerate development and pioneer AI-assisted coding practices within the team. Version control: Enforce version control best practices (Git/GitHub), lead code reviews, and integrate pipelines into CI/CD workflows. Cloud architecture: Prior experience deploying, optimising, working with cloud environments.

Location: hybrid 3 days per week onsite in either London or Sheffield (can be negotiated to 2 days per week for exceptional candidates in exceptional circumstances) Remuneration: either £450/day INSIDE IR35, or £90-£100k permanent employed Our client is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions. With programmes running across the UK and Europe, they are expanding their team to support large-scale data science and modelling initiatives. This is a Senior Data Scientist/Analyst role within their global banking client's developer experience team, supporting a new organisation-wide analysis initiative. This role sits at the intersection of data engineering and analytics, and requires strong, critical data processing and presentation skills to translate raw, ambiguous data into insights that directly drive strategic decisions across the organisation. Stakeholder Management & Analysis Drive organisation-wide analysis, autonomously conducting gap analyses and translating ambiguous business needs into clear technical roadmaps. Manage expectations directly with users and data owners, keeping delivery aligned to business priorities. Architect, build, and scale robust data pipelines using Python and SQL across platforms such as BigQuery and PostgreSQL. Work within established team standards for data extraction, complex aggregation, and resilient exception management, contributing to their ongoing improvement. Statistical Analysis & Quality Apply advanced, critical quantitative methods (Pandas, NumPy) to process raw data and derive actionable insights. Implement automated frameworks to ensure enterprise-grade data quality and continuous validation. Strategic Reporting Go beyond basic reporting to translate raw statistical findings into insights that clearly drive strategic business decisions. Engineering Excellence & Delivery Developer Experience & DORA metrics: A working knowledge of DORA metrics (Lead Time to Deploy, Release Frequency) will be nice. Knowledge of Development Practices/Pipeline/Methodologies will be needed. Nice to Have Knowledge of workflow toolkits such as Apache Airflow, Dagster, or similar. Active use of modern LLMs (Claude, GitHub Copilot) to accelerate development and pioneer AI-assisted coding practices within the team. Version control: Enforce version control best practices (Git/GitHub), lead code reviews, and integrate pipelines into CI/CD workflows. Cloud architecture: Prior experience deploying, optimising, working with cloud environments.

Lithe Consulting Ltd is seeking a Senior Data Engineer / Data Analyst to join a hybrid team, delivering data pipelines and analytics for large financial institutions. The role sits at the intersection of data engineering and analytics, turning raw data into strategic insights. The position requires strong data processing skills, stakeholder management, and experience with Looker Studio to design impactful dashboards and reports.

A leading consulting firm is seeking a Lead AWS Solutions Architect to join their team in London on a hybrid basis. This role requires transforming business requirements into architectural blueprints and leading the technical discovery for complex underwriting initiatives. The ideal candidate should possess AWS Solutions Architect certification, mastery in serverless architectures, and proficiency in TypeScript or Python. This is a permanent role with an emphasis on hands-on prototyping and modern integration practices.

Lead AWS Solutions Architect Global Financial Transformation Location: UK-Based City of London, hybrid 3 days per week. Sector: Commercial Insurance / Fintech Role Type: Permanent / Long-term Engagement Are you a "hands-on" Architect who prefers writing code to just drawing diagrams? At Lithe Transformation, we are collaborating with a global prime IT consultancy to spearhead a high-impact digital evolution for one of the world's leading insurance institutions. We are seeking a Lead AWS Solutions Architect to join their team for a 1 year employed FTC and own the architectural vision for a critical Underwriting & Policy domain. The Mission: From "Vague" to "Shovel-Ready" This isn't a passive advisory role. You will lead the Discovery Phase of the software lifecycle-taking complex, often ambiguous business requirements and transforming them into robust, "shovel-ready" architectural blueprints. You will bridge the gap between business strategy and engineering, navigating governance boards and leading by example to ensure the "North Star" enterprise standards are met without sacrificing immediate business agility. Your Technical Impact Architectural Strategy: Lead technical discovery for complex underwriting initiatives, aligning with global enterprise standards. Hands-on Prototyping: Design and prototype cloud-native solutions on AWS, specifically leveraging Serverless technologies (Lambda, Step Functions, DynamoDB, API Gateway). IaC Excellence: Write Infrastructure as Code using AWS CDK (Python and TypeScript) to prove out concepts and create standardized artifacts. Modern Integration: Drive the transition from legacy point-to-point connections to modern, event-driven architectures (hub-and-spoke). "You Build It, You Run It": Embrace true DevOps principles by overseeing the stability, observability (Datadog/Splunk), and security of live production systems. Who You Are We are looking for a technologist who can dive into existing code, validate assumptions, and coach offshore teams toward excellence. Mandatory Requirements: Certification: Must hold at least the AWS Solutions Architect Associate certification. AWS Mastery: Deep experience in designing complex, high-availability serverless architectures. Coding Proficiency: Strong ability in TypeScript/Node.js or Python for prototyping and code reviews. Domain Expertise: Previous experience in the Insurance sector (Commercial Underwriting, Claims, or Billing) is highly preferred. Governance Savvy: Experience navigating Architecture Review Boards (ARB) within large, regulated global enterprises.

Lithe Consulting Ltd is seeking a Software Engineer specializing in Analytics & Insights to design and build enterprise analytics products. The role is focused on developing high-quality datasets, dashboards, and analytical tools that help stakeholders make informed decisions from data. This position is primarily remote, with occasional meetings in London or Sheffield, and offers a competitive salary of £80,000 per annum or an inside IR35 contract at £435/day.