9 of 9 AWS Data Pipeline Jobs

Principal Data Engineer – AWS Location : London (Hybrid) Salary : £105,000 Job Type : Permanent A top-tier digital consultancy is making a key strategic hire at the Associate Director level for a hands-on, stakeholder-savvy Principal Data Engineer. You will take the helm of public and private sector data transformation programmes, drive … technical delivery, and help shape a growing practice at scale. This is a greenfield opportunity for a high-impact leader with deep AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift … mentor large technical teams, and engage directly with senior client stakeholders. • Own technical responses for RFI/RFP processes, partnering with senior leadership and business development. • Develop scalable data pipelines and analytics solutions in compliance with UK Government standards. • Act as a hands-on engineering lead while contributing to practice development and thought leadership. • Work closely with delivery More ❯

Principal Data Engineer – AWS Location : London (Hybrid) Salary : £105,000 Job Type : Permanent A top-tier digital consultancy is making a key strategic hire at the Associate Director level for a hands-on, stakeholder-savvy Principal Data Engineer. You will take the helm of public and private sector data transformation programmes, drive … technical delivery, and help shape a growing practice at scale. This is a greenfield opportunity for a high-impact leader with deep AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift … mentor large technical teams, and engage directly with senior client stakeholders. • Own technical responses for RFI/RFP processes, partnering with senior leadership and business development. • Develop scalable data pipelines and analytics solutions in compliance with UK Government standards. • Act as a hands-on engineering lead while contributing to practice development and thought leadership. • Work closely with delivery More ❯

Newcastle, United Kingdom Posted on 22/05/2025 Data Lead (Contract - 3 Months initial) Location: London, Newcastle (Hybrid) Contract Duration: 3 months initial Overview We're seeking a seasoned Data Lead to own and deliver the data strategy for govt client that uses services used by over 18m citizens encompassing three newly … rebuilt benefits systems. You will define where our data capabilities are today, set the future vision, and architect the roadmap to get us there-then design the data team to execute it. Key Responsibilities Lead the end-to-end Data Strategy for Bereavement & Care services. Map the "as-is" and "to-be" state of … our data platforms and pipelines. Develop a 3-month strategic roadmap aligned with the wider Government Data Strategy. Define and embed organisational policies, standards and guidelines for secure, scalable data services. Technical Leadership & Architecture Select and evolve data engineering methods, tools and techniques. Ensure adherence to agreed technical strategies and architectures. Plan More ❯

and Global Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision-making. At Macquarie, our advantage is bringing together diverse people and empowering them … tool to tackle each challenge, whether it means embracing new technologies or dusting off an old favourite. You will be instrumental in delivering solutions for large-scale software & data engineering challenges. Through close collaboration with business teams, you will have the autonomy to innovate and build solutions from scratch, bringing your unique vision and ideas to life. With … deliver comprehensive solutions from evolving high-level requirements A top-tier qualification in a relevant discipline (e.g., engineering, computer science, mathematics, physics, etc.) Experience with key cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous We love hearing from anyone inspired More ❯

and Global Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision-making. At Macquarie, our advantage is bringing together diverse people and empowering them … always seeking the best tools to tackle each challenge, whether that means embracing new technologies or revisiting familiar ones. You will deliver solutions for large-scale software and data engineering challenges. Working closely with business teams, you will have the autonomy to innovate and build solutions from scratch, bringing your ideas to life. With full ownership of your … and pragmatic solutions with immediate impact Ability to work independently with exceptional proficiency, collaborating with diverse stakeholders to deliver comprehensive solutions from evolving requirements Experience with cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous We welcome applications from anyone inspired More ❯

and Global Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision-making. At Macquarie, our advantage is bringing together diverse people and empowering them … tool to tackle each challenge, whether it means embracing new technologies or dusting off an old favourite. You will be instrumental in delivering solutions for large-scale software & data engineering challenges. Through close collaboration with business teams, you will have the autonomy to innovate and build solutions from scratch, bringing your unique vision and ideas to life. With … deliver comprehensive solutions from evolving high-level requirements A top-tier qualification in a relevant discipline (e.g., engineering, computer science, mathematics, physics, etc.) Experience with key cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous We love hearing from anyone inspired More ❯

and Global Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision-making. At Macquarie, our advantage is bringing together diverse people and empowering them … tool to tackle each challenge, whether it means embracing new technologies or dusting off an old favourite. You will be instrumental in delivering solutions for large-scale software & data engineering challenges. Through close collaboration with business teams, you will have the autonomy to innovate and build solutions from scratch, bringing your unique vision and ideas to life. With … deliver comprehensive solutions from evolving high-level requirements A top-tier qualification in a relevant discipline (e.g., engineering, computer science, mathematics, physics, etc.) Experience with key cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous We love hearing from anyone inspired More ❯

want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for … natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team … Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL More ❯

want to talk to you. What Are The Responsibilities? Architect and implement AI-powered features for threat detection, pattern recognition, and automated intelligence gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for … natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems for image and video analysis in OSINT investigations Build and optimize vector databases for semantic search across massive intelligence datasets Establish best practices for AI/ML model deployment, monitoring, and continuous improvement Mentor team … Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL More ❯