Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. The Data, Insights, Science and Optimization, Consumer Product and Tech (DISCO CPT) team is looking for an Analytics Lead to join a team of Data Scientists, Analytics Leads, Business … Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power product for personalized experiences. DISCO CPT team focuses on accelerating Amazon Music customer growth by empowering Product teams to make sound, customer-centric decisions through data and insights. We build data … and projects and be ready to jump into a fast-paced, dynamic and fun environment. Key job responsibilities - Working with product management and engineering to identify and scope data aggregations that facilitate analysis of most common customer behavioral questions. - Partnering with our Data Engineering team to enhance data infrastructure, data availability, and More ❯
Press Tab to Move to Skip to Content Link Head of Syndication & Financing Risk Tech Delivery Are you a tech leader with deep expertise in risk analytics, data solutions, and AI-driven automation? We’re looking for a Head of Syndication & Financing Risk Tech Delivery to drive the development of cutting-edge Risk, Analytics, and Data solutions for our Syndication and Financing Risk business. This is a technology leadership role, focused on delivering data-driven risk solutions for loans, syndications, CLOs, and synthetic financing. You’ll collaborate with engineering teams, data scientists, product owners, and business stakeholders to develop and deploy innovative platforms, analytics, and automation tools that enhance decision … making and risk assessment. Technology & Solution Delivery – Design, develop, and implement Risk, Analytics, and AI-driven solutions for credit risk and financing. Data & AI Innovation – Leverage machine learning, automation, and advanced analytics to enhance risk processes. Platform & Infrastructure Development – Build and optimize datapipelines, analytics platforms, and AI-driven insights for lending and financing teams. Agile More ❯
Multilingual team, you will play a crucial role in developing and enhancing our language models to support a wide range of languages. Your primary focus will be on data engineering tasks, including data collection, cleaning, and preparation, to ensure our models perform exceptionally across various linguistic contexts. You will work closely with our research scientists, machine … friendly! Applicants for this role may work anywhere between UTC 06:00 and UTC:00. As a Member of Technical Staff for Multilingual you will: Design and implement datapipelines to process and prepare multilingual datasets. Collaborate with researchers to understand data requirements and model performance. Develop tools and scripts to automate data-related … tasks and improve efficiency. Ensure data quality and integrity through rigorous testing and validation. Stay updated on the latest advancements in multilingual data processing and contribute to the team's knowledge base. You may be a good fit if you have: A Bachelor's degree in Computer Science, Data Science, or a related field More ❯
join our growing team. This is an exciting opportunity for someone early in their analytics career who is looking to make a meaningful impact by helping Zego make data-informed decisions across the business. You'll work with teams across the company to ensure data is accessible, accurate, and insightful- helping Zegons understand performance, identify opportunities … and improve outcomes. You'll play a key role in building and maintaining dashboards, creating reports, and supporting ad hoc analysis. You'll work closely with other analysts, data engineers, and business stakeholders to make sure the right data is getting into the hands of the people who need it, in a format they can act … aligned with stakeholder needs. Ad-hoc Analysis : Support the business with analysis to answer specific questions, solve problems, or test hypotheses - from customer behaviour to operational performance. Translate data into clear and actionable insights using visual and written communication. Data Collaboration: Work alongside analytics engineers and data engineers to ensure datasets are usable and More ❯
join our growing team. This is an exciting opportunity for someone early in their analytics career who is looking to make a meaningful impact by helping Zego make data-informed decisions across the business. You'll work with teams across the company to ensure data is accessible, accurate, and insightful- helping Zegons understand performance, identify opportunities … and improve outcomes. You'll play a key role in building and maintaining dashboards, creating reports, and supporting ad hoc analysis. You'll work closely with other analysts, data engineers, and business stakeholders to make sure the right data is getting into the hands of the people who need it, in a format they can act … aligned with stakeholder needs. Ad-hoc Analysis : Support the business with analysis to answer specific questions, solve problems, or test hypotheses - from customer behaviour to operational performance. Translate data into clear and actionable insights using visual and written communication. Data Collaboration: Work alongside analytics engineers and data engineers to ensure datasets are usable and More ❯
reoccurring governance, validation and audit exercises of existing solutions. You will work closely with global measurement team, external agency partners and service providers to develop, standardize and optimize datapipelines and operational parameters that can be applied consistently across 12+ European countries while capturing local nuances. You will collaborate with our tech & tools team on the development of … functions and locations, and have demonstrable experience in stakeholder engagement. We are looking for someone who is highly organized and comfortable working in a fast-moving, dynamic and data driven environment. This role is based at our Amazon corporate office in London/UK or Munich/DE. Key job responsibilities Automate: Identify opportunities to standardize, off-shore … media budget management and business insights. Partner with our external media agency, internal and external measurement partners across Europe and US central team, aligning measurement project and supporting data collection, acquisition and validation. BASIC QUALIFICATIONS 6+ years relevant professional experience in media planning, media finance or media buying. Have experience in media research, insights or dataMore ❯
governance, validation and audit exercises of existing solutions. You will work closely with the global measurement team, external agency partners and service providers to develop, standardize and optimize datapipelines and operational parameters that can be applied consistently across 12+ European countries while capturing local nuances. You will collaborate with our tech & tools team on the development of … functions and locations, and have demonstrable experience in stakeholder engagement. We are looking for someone who is highly organized and comfortable working in a fast-moving, dynamic and data-driven environment. This role is based at our Amazon corporate office in London/UK or Munich/DE. Key job responsibilities Automate: Identify opportunities to standardize, off-shore … media budget management and business insights. Partner with our external media agency, internal and external measurement partners across Europe and US central team, aligning measurement project and supporting data collection, acquisition and validation. BASIC QUALIFICATIONS 6+ years relevant professional experience in media planning, media finance or media buying. Have experience in media research, insights or dataMore ❯
opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits. Your Mission You will be part of a joint team of machine learning engineers, data scientists, data analysts, and product managers building and evolving ML models, real-time systems, reports, and performing deep analysis of pricing, retention, and offer strategies. Working with … software systems, you will implement and evolve intelligent solutions to align Teya with the success of our customers. In this role, you'll be: Helping Teya to use data to drive business decisions by implementing and continuously improving through experimentation advanced machine learning models. Working on projects including but not limited to customer lifetime value, churn propensity, forecasting … in the incremental delivery of high quality production systems Proficiency in Java, Python, SQL, Jupyter Notebook Experience with Machine Learning and statistical inference. Understanding of ETL processes and datapipelines and ability to work closely with Machine Learning Engineers for product implementation Ability to communicate model objectives and performance to business stakeholders Strong analytical and problem-solving skills More ❯
leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities, we … impacts thousands of businesses' ability to grow and succeed. We operate as a fully autonomous unit, bringing together specialists in back-end and front-end development, product management, data science, and analytics. This diversity of expertise allows us to tackle challenges from every angle, move fast, and deliver solutions that truly work for our customers. The role We … journeys, drive customer satisfaction and business outcomes. Analytics excellence: Develop experiments to test new product concepts, iterating based on customer feedback and performance data. Build custom tools and datapipelines to investigate complex topics and enable the wider team to monitor the performance of products post-launch, using insights to inform future improvements. Combine quantitative dataMore ❯
leading fintech innovators. But we're just getting started. Our mission? To empower one million businesses with the financial tools they deserve. We combine cutting-edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether it's managing cash flow or seizing unexpected opportunities, we … impacts thousands of businesses' ability to grow and succeed. We operate as a fully autonomous unit, bringing together specialists in back-end and front-end development, product management, data science, and analytics. This diversity of expertise allows us to tackle challenges from every angle, move fast, and deliver solutions that truly work for our customers. The role We … journeys, drive customer satisfaction and business outcomes. Analytics leadership: Lead experiments to test new product concepts, iterating based on customer feedback and performance data. Build custom tools and datapipelines to investigate complex topics and enable the wider team to monitor the performance of products post-launch, using insights to inform future improvements. Combine quantitative dataMore ❯
solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we’re looking for a Machine Learning Engineer specialising in Marketing Science to become a cornerstone of our high-performing … team. As the first Machine Learning Engineer in this squad, you’ll harness data to unlock insights into channel performance, support to optimise marketing strategies, and drive our growth. Working closely with our Director of Performance Marketing, Marketing Analytics Manager, and cross-functional teams, your work will directly impact how we attract, engage, and retain Cleo’s users. … provide the team with clear insights into the drivers of overall and channel performance. Lifetime Value Modelling: Develop and optimise predictive models that forecast user lifetime value, ensuring data-driven channel optimisation and decisions that maximise Return On Ad Spend. Budget Allocation Tools: Create scalable, automated decision-support tooling that optimises the distribution of our marketing budget across More ❯
Support to align technical solutions with strategic goals Collaborate with the wider engineering team to ensure integrations follow best practices Partner with Product teams to incorporate customer support data into product development Provide technical guidance to support team members for troubleshooting complex issues Create documentation that bridges technical complexity for non-technical team members Data & Analytics … Build datapipelines that extract meaningful insights from support interactions Develop dashboards and reporting tools that measure support effectiveness Implement A/B testing frameworks for support automation initiatives Use data to identify patterns and opportunities for proactive support Create predictive models that anticipate customer needs and potential issues Key Metrics You'll Own Technical Efficiency … technologies and implementations Familiarity with Jira and other support/workflow tools Understanding of the Shopify ecosystem and APIs Background in e-commerce or SaaS environments Knowledge of data visualization techniques and tools Experience with distributed systems Please don't hesitate to apply if you miss a few criteria but you believe you can make a strong impact. More ❯
history of creating magical moments for our customers! We're not about selling products - we want to solve problems and change lives through Monzo ️ Monzo's Borrowing Credit & Data team Our Borrowing Credit & Data team is the largest and most diverse team within Monzo's Data Discipline, and is also one of the largest … compute the core metrics required both for Monzo's senior management and for our external financial reporting. We set prices, build predictive models, run experiments, build dashboards, enhance datapipelines and manage Monzo's credit risk. OurData team 's mission is to Enable Monzo to Make Better Decisions, Faster We are scaling up our Capital, Impairment and Forecasting … Additionally the successful individual will have oversight of model performance, construction of PMAs/model overlays where required, and will have regular interaction with the senior management. Strong data and analytical skills are a must, as is a deep expertise in credit risk modelling and IFRS 9 provision methodology. Experience in stress testing, IRB modelling, retail credit originations More ❯
that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data … business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Understand, build and develop batch/file based datadatapipelines in AWS and GCP, using file transfers, REST APIs etc Build tools to monitor, report and control datapipelines Identify, design, and implement More ❯
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint a complete picture for our clients-around the clock and around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology-quickly and accurately. We apply product thinking, deep … domain expertise, and technical insight to continuously improve our data offerings, ensuring they remain reliable, scalable, and fit-for-purpose in a fast-changing landscape. Our Team: The Entities Data team is responsible for Bloomberg's core entity and issuer reference data-a foundational component of the financial data ecosystem. Entity data … and corporate structures. It provides critical linkages between datasets and is crucial for use cases including regulatory compliance, risk modeling, investment analysis, counterparty exposure, and ownership research. This data powers a wide range of financial applications-from mapping issuers to securities and understanding corporate hierarchies, to identifying exposure to private market entities and aggregating risk at the parent More ❯
About The Team: The Data Engineering Team within the Data & Business Intelligence Team is at the heart of HelloFresh UK's operational success. We design and implement bespoke data processing workflows tailored to the unique needs of the UK marketplace, while ensuring alignment with global data engineering strategies. As a Data Engineer, you will play a critical role in driving the UK data enablement function, with a focus on optimizing and scaling our datapipelines, improving the architecture of existing systems, and providing technical leadership to shape the future of our data landscape. What You Will Be Doing: Architectural Leadership: Provide architectural vision … using tools like Apache Airflow, Snowflake, and other cloud-based technologies. Drive improvements across all stages of the ETL cycle, including data extraction, transformation, and loading. Infrastructure & Pipeline Enhancement: Spearhead the upgrading of existing ETL pipelines, with a focus on automation, scalability, and quality. Ensure the infrastructure is future-proof by continually refining and optimizing the Snowflake More ❯
City of London, London, United Kingdom Hybrid / WFH Options
IO Associates
x Contract Data Engineers - Snowflake/AWS/Python/Airflow/Iceberg Location: London (Hybrid - 3 days per week onsite) Duration: 6 months Day Rate: £550 - £600 (Inside IR35) A highly reputable consultancy is seeking 2 x Contract Data Engineers to join their data team on a 6-month engagement. You will play … a key role in building and optimising datapipelines, supporting modern data platform architecture, and enabling advanced analytics and reporting capabilities. Key Skills & Experience: Strong experience with Snowflake data warehousing Solid AWS cloud engineering experience Proficient in Python for data engineering workflows Skilled in building and maintaining Airflow DAGs Familiarity with Apache … Iceberg for table format and data lake optimisation If this could be of interest, please get in touch with Alex Lang at iO Associates to apply and for more information. On this occasion, we can only accept applications from UK-based candidates with right to work in the UK. More ❯
City of London, London, United Kingdom Hybrid / WFH Options
McCabe & Barton
A leading Financial Services client in London is undergoing a major data transformation and is hiring a Data Engineering Manager on a permanent basis. The role offers a base of £85,000, strong benefits, and flexible hybrid/remote working. Were looking for a hands-on leader from a forward-thinking, modern data environment … with a strong foundation in Data Engineering and experience managing a squad of 47 Data Engineers. Youll bring solid SQL skills, cloud expertise (preferably Azure), and familiarity with tools such as Snowflake, Databricks, ADF, Python, and GenAI. Youll manage a squad of engineers and play a key role in delivering scalable, modern data solutions … as part of a group-wide transformation. Requirements: Proven experience in fast-paced environments working with modern data architectures and tooling; Financial Services experience is a plus. Experience managing Data Engineering teams Strong SQL and cloud skills (Azure preferred) Familiar with modern data tools (e.g. Snowflake, Databricks, ADF, Python) Track record of building/ More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hays
Data Architect (18-Month Fixed Term Contract) Salary: £65,000 - £72,000 per annum + benefits Location: London/Hybrid Our client is underway with an exciting Transformation Programme and is looking to recruit an experienced Data Architect. The role is critical in helping to shape their future as a data-led organisation. The … Data Architect will be instrumental in building the foundational architecture, governance and strategy needed to bring that vision to life. Key Responsibilities Include Defining and owning the enterprise and commercial data strategy aligned with the digital transformation goals Establishing data governance policies, metadata standards, data stewardship roles, and classification models Designing scalable … data architecture that integrates corporate services and operational data systems Architect datapipelines and semantic layers to support BI, advanced analytics, and future AI capabilities. Presenting data models, architecture diagrams, and governance strategies to executive and technical stakeholders Key Skills Required Demonstrable hands-on systems integration and enterprise-scale dataMore ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Hays Specialist Recruitment Limited
Data Architect (18-Month Fixed Term Contract) Salary: £65,000 - £72,000 per annum + benefits Location: London/Hybrid Our client is underway with an exciting Transformation Programme and is looking to recruit an experienced Data Architect. The role is critical in helping to shape their future as a data-led organisation.The Data … will be instrumental in building the foundational architecture, governance and strategy needed to bring that vision to life. Key Responsibilities Include Defining and owning the enterprise and commercial data strategy aligned with the digital transformation goals Establishing data governance policies, metadata standards, data stewardship roles, and classification models Designing scalable data architecture … that integrates corporate services and operational data systems Architect datapipelines and semantic layers to support BI, advanced analytics, and future AI capabilities. Presenting data models, architecture diagrams, and governance strategies to executive and technical stakeholders Key Skills Required Demonstrable hands-on systems integration and enterprise-scale data strategy experience Expertise in More ❯
a world-leading major global contractor, building, maintaining and operating on some of the world's biggest infrastructure projects. Due to continued growth, they are seeking a Lead Data Engineer to join their team in London, UK RESPONSIBILITIES Leading the design, development, and deployment of a secure, scalable data platform on Microsoft Azure, turning complex construction … data into actionable insight Managing the data platform roadmap and delivery using high quality engineering practices Overseeing a high-performing data engineering team and mentoring technical talent Collaborating frequently across departments to define data requirements, structure, and strategy Ensuring adherence to data governance, MDM standards, and nuclear safety protocols Overseeing … incident management processes and technical documentation for live environments PROFILE Experienced in Microsoft Azure Data services, e.g. Data Factory, Databricks, Azure SQL, Synapse Experience in SQL, NoSQL, and API-based datapipelines Demonstrable history of using Agile methodologies such as SCRUM or Kanban Previously led engineering teams in complex environments Ability to translate business More ❯
creating standardized, scalable, and automated systems and tools to identify and reduce supply chain defects in our systems and inputs, while driving operational leverage and scaling. As a Data Engineer, you will analyze large-scale business data, solve real-world problems, and develop metrics and business cases to delight our customers worldwide. You will work closely … with Scientists, Engineers, and Product Managers to build scalable, high-impact products, architect datapipelines, and transform data into actionable insights to manage business at scale. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to hard problems while working hard, having … placing, and shipping inventory. Functionally these teams work together to drive in-stock, drive placement, drive inventory removal and manage the customer experience. BASIC QUALIFICATIONS - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue More ❯
today and tomorrow's problems with the companies who need their help to do it. AND WITH AI. An opportunity to get your hands down and dirty with data to help companies find the best talent. Specifically focusing on research, innovation, science, and engineering. There is a huge and complex database, using AI to provide quantitative insights that … are unmatched. These insights highlight underrepresented talent, particularly women. Day to day, you'll design and develop datapipelines, ensuring data is clean, transformed, and integrated efficiently into the database. The environment is collaborative, working closely with machine learning engineers and data scientists to facilitate seamless data analysis. You'll work within … a dynamic team to support and enhance our AI-driven talent platform. Your background is in a heavy data environment, with a natural inclination towards statistical analysis. A STEM degree is beneficial but not necessary. You should be comfortable in the cloud, preferably AWS, with good experience building, managing, and enhancing data pipelines. Proficiency in Python More ❯
Data & Analytics Engineer Global B2C Brand London – 3 days in office Up to £45K A Data & Analytics Engineer is required for a global B2C brand that is actively building out its modern data stack. This role is an excellent opportunity for a junior or aspiring data engineer/analytics engineer looking to … gain hands-on experience across the full data lifecycle. In this end-to-end role, you'll work across the entire ETL/ELT process, contributing to the design and development of scalable data pipelines. You’ll gain exposure to a modern toolset including AWS, Databricks, Airbyte, and dbt, with the chance to build real-world … solutions that deliver impact. You'll also benefit from strong mentorship from an experienced data leader who’s passionate about developing early-career talent—plus the opportunity to grow and learn on the job within a collaborative, commercial environment. Who We’re Looking For This is a junior role with plenty of learning and development support, but we More ❯
The Client My client is an Investment Management firm based in the City of London who are looking for a Senior Data Engineer to join their team. The Role This role is crucial for developing their data warehouse and centralising data across the business. Reporting to the Head of Digital Transformation, you'll manage … the full data lifecycle, specialising in ETL processes, data collection from various sources, high-speed data cleansing, and thorough testing and validation to ensure data integrity. You'll also be a key player in stakeholder interaction, translating requirements into effective data warehouse solutions for calculations and data movements. … Lead data migration and ETL processes: Direct the migration of data and design, implement, and optimize ETL (Extract, Transform, Load) processes to integrate data from various sources. Manage Snowflake data warehouse: Build, maintain, and enhance the Snowflake data warehouse, ensuring it's scalable and resilient for future reporting. Ensure dataMore ❯