have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Join our rapidly expanding team as a hands-on Cloud DataAnalytics Platform Engineer and play a pivotal role in shaping the future of data at Citi. We're building a cutting-edge, multi-cloud dataanalytics platform that empowers our users with secure, scalable, and efficient data insights. This role sits at the intersection of infrastructure, data engineering, and architecture, offering a unique opportunity to work with the latest cloud-native technologies and influence our data strategy. This is a hands-on role requiring deep technical skills and a passion … for building and optimizing data platforms. What You'll Do: Architect and Build: Design and implement a robust, cloud-native dataanalytics platform spanning AWS, GCP, and other emerging cloud environments. You'll leverage services like S3/GCS, Glue, BigQuery, Pub/Sub, SQS/SNS, MWAA/Composer, and more to create a seamless dataMore ❯
have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Join our rapidly expanding team as a hands-on Cloud DataAnalytics Platform Engineer and play a pivotal role in shaping the future of data at Citi. We're building a cutting-edge, multi-cloud dataanalytics platform that empowers our users with secure, scalable, and efficient data insights. This role sits at the intersection of infrastructure, data engineering, and architecture, offering a unique opportunity to work with the latest cloud-native technologies and influence our data strategy. This is a hands-on role requiring deep technical skills and a passion … for building and optimizing data platforms. What You'll Do: Architect and Build: Design and implement a robust, cloud-native dataanalytics platform spanning AWS, GCP, and other emerging cloud environments. You'll leverage services like S3/GCS, Glue, BigQuery, Pub/Sub, SQS/SNS, MWAA/Composer, and more to create a seamless dataMore ❯
Full-time, Permanent Basingstoke (Hybrid) £65,000 - £75,000 Reassured are looking for a DataAnalyticsEngineer to help us unlock the power of data across the business. If you're passionate about turning raw data into actionable insights and building robust data pipelines, this is your chance to make a real impact in … a fast-paced, collaborative environment. As a DataAnalyticsEngineer, you’ll be at the heart of our data platform: designing and delivering scalable solutions using Kafka for data ingestion, Databricks for ETL , modelling data for Power BI, and working closely with stakeholders to create products that drive smarter decisions. You’ll play a … key role in shaping our Lakehouse architecture. What you'll be doing: Building and optimising data ingestion pipelines using Apache Spark (ideally in Azure Databricks) Designing semantic models and dashboards for business insights Collaborating across teams to understand requirements and deliver fit-for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps More ❯
Full-time, Permanent Basingstoke (Hybrid) £65,000 - £75,000 Reassured are looking for a DataAnalyticsEngineer to help us unlock the power of data across the business. If you're passionate about turning raw data into actionable insights and building robust data pipelines, this is your chance to make a real impact in … a fast-paced, collaborative environment. As a DataAnalyticsEngineer, you’ll be at the heart of our data platform: designing and delivering scalable solutions using Kafka for data ingestion, Databricks for ETL , modelling data for Power BI, and working closely with stakeholders to create products that drive smarter decisions. You’ll play a … key role in shaping our Lakehouse architecture. What you'll be doing: Building and optimising data ingestion pipelines using Apache Spark (ideally in Azure Databricks) Designing semantic models and dashboards for business insights Collaborating across teams to understand requirements and deliver fit-for-purpose data products Supporting the productionisation of ML pipelines Working in an Agile/DevOps More ❯
AnalyticsEngineer Hybrid, Central London Were partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. Theyre expanding their team with an AnalyticsEngineer passionate about turning data into scalable, real-world solutions. Youll design and maintain robust data pipelines, optimize cloud data warehouses, and enable … analytics and modelling teams with reliable, high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams … with clean, production-ready data 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Experience with SaaS products, analytics tooling, or modern data stack More ❯
Senior Data and AnalyticsEngineer - Front Office/FI London Excellent package plus bonus/benefits Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at … productionand to operate with a self-starter mindset in a fast-paced, collaborative environment. Essential skills & experience: You should have at least 5+ years experience as a Front Office Engineer (buy-side, sell-side, or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track … record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg More ❯
Senior Data and AnalyticsEngineer - Front Office/FI London Excellent package plus bonus/benefits Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at … and to operate with a self-starter mindset in a fast-paced, collaborative environment. Essential skills & experience: You should have at least 5+ years’ experience as a Front Office Engineer (buy-side, sell-side, or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track … record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg More ❯
london (city of london), south east england, united kingdom
NP Group
Senior Data and AnalyticsEngineer - Front Office/FI London Excellent package plus bonus/benefits Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at … and to operate with a self-starter mindset in a fast-paced, collaborative environment. Essential skills & experience: You should have at least 5+ years’ experience as a Front Office Engineer (buy-side, sell-side, or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track … record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg More ❯
Senior Data and AnalyticsEngineer - Front Office/FI London Excellent package plus bonus/benefits Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at … and to operate with a self-starter mindset in a fast-paced, collaborative environment. Essential skills & experience: You should have at least 5+ years’ experience as a Front Office Engineer (buy-side, sell-side, or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track … record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container-based deployments. Strong knowledge of Snowflake and NoSQL databases (especially MongoDB). Solid understanding of financial markets and instruments particularly Fixed Income (or may consider with an exposure to credit, rates, equities, options, etc. Experience with market data providers (Bloomberg More ❯
Senior Data and AnalyticsEngineer - Front Office/FI London Excellent package plus bonus/benefits Do you have the right skills and experience for this role Read on to find out, and make your application. Overview You will work directly with the Front Office investment and trading teams to build, enhance, and support data and … analytics infrastructure that powers research, trading, and portfolio decision-making. This is a hands-on, high-impact role at the core of our front office. You will be expected to take full ownership of your work from design through production and to operate with a self-starter mindset in a fast-paced, collaborative environment. Essential skills & experience: You should … have at least 5+ years experience as a Front Office Engineer (buy-side, sell-side, or trading environment). Offer deep expertise in Python, with strong software engineering practices (version control, testing, CI/CD). Have a proven track record of building robust data pipelines in cloud-native environments (preferably AWS). Experience with Docker and container More ❯
Farnborough, Hampshire, United Kingdom Hybrid / WFH Options
CBSbutler Holdings Limited trading as CBSbutler
Data & Analytics - Gen AI Engineers x 2 + fully remote contract + initially 6 months + £500 to £525 per day - Inside IR35 Key Skills: + Design of Gen AI Models + RAG + AI/ML Pipelines The Role: + Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. + Build … assistants, etc.). + Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines to ensure accuracy and relevance. + Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js backends. + Collaborate with architects to define scalable and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for … e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS, Chroma) for semantic retrieval use cases. Partner with business stakeholders to identify and shape AI use More ❯
