901 to 925 of 1,172 Data Engineering Jobs

Us: We are a dynamic pre-seed startup based in the heart of MIT/Kendall Square in Cambridge, MA on a mission to automate the hardest part of data engineering: Our proprietary technology helps in contextualizing data and building the semantic layer that powers BI, analytics, and AI. Agentic data systems are worthless without enterprise … context. Our platform is the missing piece for organizations that want their data infrastructure to deliver real business value. If you're passionate about transforming how enterprises leverage data to get them ready for AI, we want you on our founding team. We offer a no 'rip & replace' platform without rearchitecting the infrastructure. Role Overview: As Chief Growth … company's go-to-market strategy, accelerating customer acquisition, and building the growth engine that will defi ne our trajectory. You will work closely with the CEO, product, and engineering teams to position our platform as the essential layer for modern data infrastructure. You will work closely with cloud data platform companies such as Snowflake, Databricks, BigQuery More ❯

Us: We are a dynamic pre-seed startup based in the heart of MIT/Kendall Square in Cambridge, MA on a mission to automate the hardest part of data engineering: Our proprietary technology helps in contextualizing data and building the semantic layer that powers BI, analytics, and AI. Agentic data systems are worthless without enterprise … context. Our platform is the missing piece for organizations that want their data infrastructure to deliver real business value. If you’re passionate about transforming how enterprises leverage data to get them ready for AI, we want you on our founding team. We offer a no ‘rip & replace’ platform without rearchitecting the infrastructure. Role Overview: As Chief Growth … company’s go-to-market strategy, accelerating customer acquisition, and building the growth engine that will defi ne our trajectory. You will work closely with the CEO, product, and engineering teams to position our platform as the essential layer for modern data infrastructure. You will work closely with cloud data platform companies such as Snowflake, Databricks, BigQuery More ❯

Us: We are a dynamic pre-seed startup based in the heart of MIT/Kendall Square in Cambridge, MA on a mission to automate the hardest part of data engineering: Our proprietary technology helps in contextualizing data and building the semantic layer that powers BI, analytics, and AI. Agentic data systems are worthless without enterprise … context. Our platform is the missing piece for organizations that want their data infrastructure to deliver real business value. If you’re passionate about transforming how enterprises leverage data to get them ready for AI, we want you on our founding team. We offer a no ‘rip & replace’ platform without rearchitecting the infrastructure. Role Overview: As Chief Growth … company’s go-to-market strategy, accelerating customer acquisition, and building the growth engine that will defi ne our trajectory. You will work closely with the CEO, product, and engineering teams to position our platform as the essential layer for modern data infrastructure. You will work closely with cloud data platform companies such as Snowflake, Databricks, BigQuery More ❯

ETL Application Developer Capacity Management & Data Engineering 6 month contract - Inside IR35 London - Moorgate tube Day rate to be confirmed Our leading bank client is seeking an experienced ETL Application Developer to join their technology resilience and capacity management team. This is a contract opportunity based in London. As an ETL Application Developer, you will play a key … role in ensuring that critical business services have the capacity and resilience to meet regulatory and operational demands. You will focus on developing robust data pipelines and solutions that support capacity monitoring, reporting, and forecasting across complex IT environments. Key Responsibilities: Design, develop, and maintain ETL processes to collect, transform, and load capacity and infrastructure data from multiple … sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. Create More ❯

ETL Application Developer Capacity Management & Data Engineering 6 month contract - Inside IR35 London - Moorgate tube Day rate to be confirmed Our leading bank client is seeking an experienced ETL Application Developer to join their technology resilience and capacity management team. This is a contract opportunity based in London. As an ETL Application Developer, you will play a key … role in ensuring that critical business services have the capacity and resilience to meet regulatory and operational demands. You will focus on developing robust data pipelines and solutions that support capacity monitoring, reporting, and forecasting across complex IT environments. Key Responsibilities: Design, develop, and maintain ETL processes to collect, transform, and load capacity and infrastructure data from multiple … sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. Create More ❯

as a Product Manager, Scaled Analytics within the LSEG Analytics organization. This position is part of the Scaled Analytics Product Management team, helping to build on our market-leading data platform capabilities powered by Databricks. You'll focus on leveraging Databricks to build the infrastructure that rapidly launches customer-facing analytics products, and you'll work closely with other … product managers to enable both our Analytics Engineering and Analytics Distribution efforts. Responsibilities: Drive 3-, 6-, and 12-month product roadmap for Analytics Engineering Be the SME for Databricks for the Analytics business Provide and present insights into the latest industry trends affecting our data platform and customers Collaborate with other PMs in Distribution and asset class … specific product areas to ensure platform meets their needs Support migrations from legacy data engineering platforms to Databricks Maintain a well-groomed product backlog Partner with Engineering and QA leads to estimate work for each sprint and review items before launch Contribute to internal and external product knowledge-sharing activities (training guides, FAQs, documentation) Requirements : Bachelor's More ❯

support our Analytics Platform strategy, leading the evolution and delivery of cutting-edge analytics capabilities across our Expedia Group. You’ll combine strategic guidance with hands-on collaboration alongside engineering, analytics, and our partner teams to enhance our analytics platforms, drive adoption, and create significant business impact. In this role, you'll be the Product leader focused on our … core analytics platform components, including Databricks, SQL Engines and other modern data technologies. You will ensure our analytics platform provides robust, reliable, and scalable capabilities that enable internal stakeholders and external users to ef ficiently access, explore, and leverage our data. We are looking for a Senior Product Manager that will Drive and support the Analytics Platform Strategy by … business and technology objectives . Develop a clear roadmap for your products focusing on Databricks, SQL engines, and associated analytics tooling, ensuring scalability, performance, and usability. Work closely with engineering and data teams to design, prioritize, and deliver platform enhancements that improve data accessibility, query performance, and reliability. Drive feature prioritization based on user needs, business impact More ❯

Lead improvements in performance, reliability, and code quality Improve and maintain CI CD pipelines, test automation, and internal tooling Collaborate across teams — including support for Machine Learning workloads and Data Engineering Contribute to architecture discussions, technical documentation, and internal best practices Key skills: TypeScript, AWS Lambda, Kinesis, EventBridge, CI/CD, GitHub Actions, Python (for ML), JIRA, Confluence … Key skills: Five years’ experience in backend engineering Advanced skills in TypeScript and modern AWS (especially Lambda, Kinesis, EventBridge) Experience with infrastructure-as-code (CDK2 preferred) Strong attention to detail and ability to work autonomously Comfortable writing clean tickets and documentation Experience with Python and data streaming Working knowledge of Agile tools like JIRA and Confluence More ❯

Job description This is a free 16-week training course followed by a role with Barclays. Title : Mid-Level Software Engineer, Mid-Level Data Engineer, Mid-Level Java Developer, Mid-Level JavaScript Developer Job location : Manchester & Knutsford, England, United Kingdom (Hybrid), Full-Time, 2 days in the office per week. Description : Step into a role as a Mid-Level … Software Engineer, Data Engineer, Java Developer or JavaScript (UI) Developer with one of our partner companies through the Mid-Level Accelerator programme. From free learning to a linked job role Our Mid-Level Accelerator programme with a linked job role is perfect for those who have 1.5+ years of experience in Software or Data Engineering (Python), Java … roles are linked directly to free education, and upon completion of our course, you will be equipped to start your role as a Mid-Level Software Engineer, Mid-Level Data Engineer, Mid-Level Java Developer or Mid-Level JavaScript (UI) Developer. WHAT ARE WE LOOKING FOR? 1.5+ years of experience in a technology-focused role and a mind for More ❯

support our Analytics Platform strategy, leading the evolution and delivery of cutting-edge analytics capabilities across our Expedia Group. You’ll combine strategic guidance with hands-on collaboration alongside engineering, analytics, and our partner teams to enhance our analytics platforms, drive adoption, and create significant business impact. In this role, you'll be the Product leader focused on our … core analytics platform components, including Databricks, SQL Engines and other modern data technologies. You will ensure our analytics platform provides robust, reliable, and scalable capabilities that enable internal stakeholders and external users to ef ficiently access, explore, and leverage our data. We are looking for a Senior Product Manager that will Drive and support the Analytics Platform Strategy by … business and technology objectives . Develop a clear roadmap for your products focusing on Databricks, SQL engines, and associated analytics tooling, ensuring scalability, performance, and usability. Work closely with engineering and data teams to design, prioritize, and deliver platform enhancements that improve data accessibility, query performance, and reliability. Drive feature prioritization based on user needs, business impact More ❯

support our Analytics Platform strategy, leading the evolution and delivery of cutting-edge analytics capabilities across our Expedia Group. You'll combine strategic guidance with hands-on collaboration alongside engineering, analytics, and our partner teams to enhance our analytics platforms, drive adoption, and create significant business impact. In this role, you'll be the Product leader focused on our … core analytics platform components, including Databricks, SQL Engines and other modern data technologies. You will ensure our analytics platform provides robust, reliable, and scalable capabilities that enable internal stakeholders and external users to ef ficiently access, explore, and leverage our data. We are looking for a Senior Product Manager that will Drive and support the Analytics Platform Strategy by … business and technology objectives . Develop a clear roadmap for your products focusing on Databricks, SQL engines, and associated analytics tooling, ensuring scalability, performance, and usability. Work closely with engineering and data teams to design, prioritize, and deliver platform enhancements that improve data accessibility, query performance, and reliability. Drive feature prioritization based on user needs, business impact More ❯

charge of new models to drive improvements in S&OP accuracy, automation, and plan optimality – partnering with teams across SCOT. You will be in charge of creating new automated data pipelines and processes, building the single source of truth for all operations teams relying on S&OP data to make business decisions. Key job responsibilities Designing and implementing … complex data models, developing advanced analytics solutions, and creating insightful dashboards and reports. Collaborate closely with cross-functional teams, including operations, finance, and product management, to identify opportunities for supply chain optimization. Translating business requirements into technical specifications, conducting in-depth data analysis, and communicating findings to both technical and non-technical stakeholders. Mentoring junior team members, driving … best practices in data engineering and visualization, and contributing to the overall data strategy of the supply chain organization.- Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience in representing More ❯

Software Engineering Manager/Software Team Lead Hybrid – Manchester We're working with a rapidly growing company seeking a hands-off Software Engineering Leader to guide and inspire a talented, multi-skilled engineering team. This is a fantastic opportunity to lead from the front, not by coding, but by setting vision, driving delivery, and fostering a high … performance engineering culture. You’ll be responsible for leading a team of exceptional engineers building slick, scalable digital consumer products using modern and complex technology stacks. The systems need to be resilient, high-performing, and elegant, supporting both customers and internal teams alike. What You’ll Be Doing: Leading a high-calibre team of senior software engineers. Driving delivery … best practices, and engineering excellence. Championing modern development practices: TDD, automation, CI/CD, DevOps, and scalable architecture. Supporting the team’s growth, both technically and professionally. Influencing wider tech direction and fostering a strong engineering culture. What We’re Looking For: Proven experience in leading high-performing engineering teams. Solid technical background, ideally in software or More ❯

charge of new models to drive improvements in S&OP accuracy, automation, and plan optimality – partnering with teams across SCOT. You will be in charge of creating new automated data pipelines and processes, building the single source of truth for all operations teams relying on S&OP data to make business decisions. Key job responsibilities Designing and implementing … complex data models, developing advanced analytics solutions, and creating insightful dashboards and reports. Collaborate closely with cross-functional teams, including operations, finance, and product management, to identify opportunities for supply chain optimization. Translating business requirements into technical specifications, conducting in-depth data analysis, and communicating findings to both technical and non-technical stakeholders. Mentoring junior team members, driving … best practices in data engineering and visualization, and contributing to the overall data strategy of the supply chain organization.- Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience in representing More ❯

range of business problems, including brand reputation, crisis management, business impact, marketing, and media strategy. You will work closely with Onclusive's talented teams from Product Design, Consulting Services, Engineering, Data Engineering, Marketing, Customer Success, and others. The ideal candidate would be comfortable working with SaaS B2B products that leverage Onclusive's global media content data … Your Responsibilities: Deeply understand customer needs and industry innovations to drive the product vision and strategy, maximizing business and customer impact. Develop product roadmaps in partnership with relevant product, engineering, ML/AI, and analytics teams that execute product vision and strategy. Work closely with customers to understand their business priorities, opportunities, and pain points in their roles and … visitors) and develop new metrics tailored to industry and workflows. Partner with senior management, insights, and AI teams to define and align on vision, strategy, and roadmaps. Work with Engineering to unify monitoring and workflow capabilities and streamline product offerings. Develop product and user experience strategies that organically accelerate product adoption. Who you are: A degree (BS, MSc, MBA More ❯

London Stock Exchange Group role at Jobs via eFinancialCareers Get AI-powered advice on this job and more exclusive features. FTSE Russell is undergoing a significant transformation of its Engineering Organization. We aim to deliver state of the art, cloud native platforms allowing our business to scale and innovate. The Phoenix engineering platform, rebooted in 2024, is the … Functional And Technical Capabilities Functionally, the right candidate will have the ability to start from the problem statement and work backward to the technology. A strong expertise in market data, index or financial data analytics is important to bridge product, technology, and business strategy together to design the right technology for scale, efficiency, and long-term architecture. Technically … a passion for building market-leading systems, pioneering cutting-edge financial technology, and shaping the future of the benchmark and indices industry. Key Responsibilities Define and collaboratively with the engineering leads to implement world class mission critical technology solutions meeting functional and non-functional requirements. Translate complex requirements into actionable technology solution designs and provide clear, practical, and transformative More ❯

London Stock Exchange Group role at Jobs via eFinancialCareers Get AI-powered advice on this job and more exclusive features. FTSE Russell is undergoing a significant transformation of its Engineering Organization. We aim to deliver state of the art, cloud native platforms allowing our business to scale and innovate. The Phoenix engineering platform, rebooted in 2024, is the … Functional And Technical Capabilities Functionally, the right candidate will have the ability to start from the problem statement and work backward to the technology. A strong expertise in market data, index or financial data analytics is important to bridge product, technology, and business strategy together to design the right technology for scale, efficiency, and long-term architecture. Technically … a passion for building market-leading systems, pioneering cutting-edge financial technology, and shaping the future of the benchmark and indices industry. Key Responsibilities Define and collaboratively with the engineering leads to implement world class mission critical technology solutions meeting functional and non-functional requirements. Translate complex requirements into actionable technology solution designs and provide clear, practical, and transformative More ❯

for ML Operations across a next- research platform. This is a high-impact, greenfield role where you’ll help design and build the future of ML infrastructure—from how data is shared, to how models are trained, deployed, and supported in production. ML is central to the firm’s trading strategies, and the platform you help shape will directly … landscape, identify gaps, and lead the technical direction of the new platform Projects you’ll work on include: Implementing best-practice feature and model stores Proper versioning of features, data, and models Improving inference compute utilisation through smarter serving Building CI/CD pipelines for ML workflows Solving complex job orchestration for model training Developing tooling for robust validation … in Python A deep understanding of ML lifecycle pain points and practical solutions Experience building systems for scaling training, versioning, and deployment Bonus points for experience with distributed compute, data engineering, and orchestration frameworks (e.g. Airflow, Ray, KubeFlow). Why join? Top-tier quant finance firm with huge tech investment Competitive base salary + 50–100%+ annual More ❯

Marketing Remote Entry-level Full-time Description (Hybrid - must reside in Greater London or within a 1-hour commute) About Firebolt Firebolt is the lightning-fast cloud data warehouse built for engineering teams that need sub-second analytics on terabytes of data without breaking the budget. VC-backed, hybrid work arrangements, and growing 3 YoY, we're … redefining how companies build modern data stacks. How We Work - Hybrid, distributed workforce London-based with a 4-hour live overlap (16:00 - 20:00 UK/08:00 - 12:00 PT) so you can prospect EMEA in the morning and sync with West-Coast leadership in the late afternoon. Asynchronous by default: Slack threads, Gong playlists, Confluence playbooks … is 6 SQMs per month and £ 1.8 M+ pipeline per quarter . The Role As an SDR, you'll partner with our EMEA Account Executives to open doors into data-engineering and analytics teams at digital-native scale-ups. You'll combine AI-assisted research with disciplined outreach to create a pipeline for a sales org that blew More ❯

for ML Operations across a next- research platform. This is a high-impact, greenfield role where you’ll help design and build the future of ML infrastructure—from how data is shared, to how models are trained, deployed, and supported in production. ML is central to the firm’s trading strategies, and the platform you help shape will directly … landscape, identify gaps, and lead the technical direction of the new platform Projects you’ll work on include: Implementing best-practice feature and model stores Proper versioning of features, data, and models Improving inference compute utilisation through smarter serving Building CI/CD pipelines for ML workflows Solving complex job orchestration for model training Developing tooling for robust validation … in Python A deep understanding of ML lifecycle pain points and practical solutions Experience building systems for scaling training, versioning, and deployment Bonus points for experience with distributed compute, data engineering, and orchestration frameworks (e.g. Airflow, Ray, KubeFlow). Why join? Top-tier quant finance firm with huge tech investment Competitive base salary + 50–100%+ annual More ❯

Github) for an initial 6 months contract (WFH) who is passionate about building new capabilities from the ground up and want to help explore the full potential of your data platform. As a MS Fabric Consultant you will understand how Fabric fits within a product environment and can guide my client through the complex challenges they are having in … Fabric specialist you will have the ability to help my client to progress to the next level. This includes assisting with optimising and designing the processes for products involving data-heavy read/write scenarios and also covers effective workspace management and integration between the product, product storage, and workspaces. You will have hands-on technical ability and experience … of building and managing modern data platforms in Microsoft Fabric and ideally be familiar with integrating customer/third-party data into Fabric, possess Product Development Awareness: Understanding how data platform capabilities may integrate into digital products and services. Experience working with or within product development teams is a plus Technical knowledge and underrating of the following More ❯

Github) for an initial 6 months contract (WFH) who is passionate about building new capabilities from the ground up and want to help explore the full potential of your data platform. As a MS Fabric Consultant you will understand how Fabric fits within a product environment and can guide my client through the complex challenges they are having in … Fabric specialist you will have the ability to help my client to progress to the next level. This includes assisting with optimising and designing the processes for products involving data-heavy read/write scenarios and also covers effective workspace management and integration between the product, product storage, and workspaces. You will have hands-on technical ability and experience … of building and managing modern data platforms in Microsoft Fabric and ideally be familiar with integrating customer/third-party data into Fabric, possess Product Development Awareness: Understanding how data platform capabilities may integrate into digital products and services. Experience working with or within product development teams is a plus Technical knowledge and underrating of the following More ❯

extend Enchant-our multimodal transformer-by incorporating genomics, transcriptomics, proteomics, metabolomics, and other omics signals. Your work will focus on target selection and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi omics information with existing context in Enchant. An understanding of causal experimental design and the interactions among diverse molecular … modalities is essential. This position is remote, with a preference for candidates in Bristol. KEY RESPONSIBILITIES Identify, prioritize, and acquire multi-omics datasets. Build, maintain, and document data pipelines that ingest, quality control, and harmonize large multi omics datasets from public and proprietary sources. Design schemes for pretraining and finetuning Enchant on multi-omics data. Define benchmarks for target … monitor performance and iterate. Stay current with advances in machine learning and computational biology; prototype promising ideas and share findings with the team. Mentor colleagues in best practices for data engineering, modeling, and experimental design. REQUIRED QUALIFICATIONS PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field, plus 3+ years of relevant More ❯

About Archive360 Archive360 delivers a modern archiving platform that empowers organizations to address complex data governance and compliance challenges while leveraging AI and analytics. By transforming data into a trusted, accurate , and protected strategic asset, we help organizations achieve their business objectives and drive innovation. Position Overview: We are seeking a Pre-Sales Solutions Architect who blends technical … of customers. This role will be pivotal in supporting our sales organization, bridging the gap between technical functionality and customer needs. You'll partner closely with Sales, Product, and Engineering teams to deliver tailored solutions that solve complex data analysis and archiving challenges. Key Responsibilities: Be an expert in big data analytics to excite customers about Archive360 … to customer needs and business goals. Develop customer relationships and build internal partnerships with account executives and teams . What You Bring: Experience with ETL tools such as Azure Data Factory and processes for data extraction, transformation, and loading Must have experience with structured data management and migrations . Involvement in application retirement projects, including data More ❯

ETL Developer Inside IR35 - Hybrid initially but 5 days onsite required We are seeking an experienced and detail-oriented ETL Application Developer to join our data engineering team. This is a high-impact role dedicated to enhancing our organisation’s operational resilience by ensuring comprehensive and accurate capacity monitoring across critical systems. Your work will help mitigate potential … disruptions by enabling early identification of system resource constraints. You will collaborate with cross-functional teams to deliver infrastructure-based data acquisition solutions that support our Capacity Management function and ensure compliance with key regulatory requirements . Key Responsibilities: Design, develop, and maintain ETL processes to ingest, transform, and store capacity-related metrics. Integrate data from diverse infrastructure … sources using APIs and direct connectors. Ensure data quality and integrity through validation, normalization, and transformation techniques. Collaborate with Capacity Management and infrastructure teams to ensure timely and complete data delivery. Develop and implement scripts and tools (SQL, Python, Excel VBA) for data trending, analysis, and reporting. Optimise database storage and performance for large datasets. Support control More ❯