data platforms. Designs and implements processes for the ETL process from various sources into the organization’s data systems. Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards. Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps. Simplifies the … architectures and concepts such as cloud services, real-time data distribution, and modern data tools Experience with database technologies such as SQL, NoSQL, Oracle Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture. Ability to assess traditional and modern data More ❯
data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions. Key Skills -Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT. -Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight -Version Control (Gitlab) and CI/CD -Familiar with security and networking principles, especially in an More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
Talend, dbt). Experience designing and implementing scalable data pipelines and integration patterns across structured and unstructured data sources (e.g., Azure SQL, MySQL, MongoDB). Familiarity with data governance, metadata management, and data quality frameworks. Practical experience applying DevOps principles to data engineering, including CI/CD pipelines, infrastructure as code, and monitoring. Solid understanding of data security and compliance More ❯
user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
Bit Bio
us implement an easy-to-use, compliant data and AI platform. In this highly collaborative role you will help acquire, curate, store and retrieve any type of data and metadata required by the teams. You will be working with data from cutting edge, novel biological assays, and experiments at never before seen scales. As Senior Data & AI Engineer you will … datasets and big-data architectures. Deploying or supporting AI/ML workflows. Successfully building processes for transforming data, creating unique data structures to suit end uses, ensuring sufficiency of metadata, and developing methods for automated delivery of data sets (software tools, APIs). Working on building and using data stores in AWS. Working with a variety of stakeholders and cross More ❯
data requirements, improve data flows, and automate reporting processes. - Design frameworks for data validation, reconciliation, and auditing to ensure high trust in people metrics. - Contribute to the development of metadata, documentation, and master data definitions for people data domains (e.g., job architecture, organisation structure). - Support HR and business analysts in accessing, joining, and transforming data for strategic projects and More ❯
services. Some knowledge of Python preferred. Strong analytic skills related to working with structured, semi-structured, and unstructured datasets and blob storage. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Strong project management and organizational skills. Experience supporting and working with cross-functional More ❯
scalable, cloud-native platforms with embedded AI and machine learning. Deliver data solutions focused on business fulfilment, operational efficiency, and measurable impact. Champion best practices in data quality, governance, metadata, and regulatory compliance. Partner across functions and lead a high-performing data engineering team, fostering innovation and agility. Skills and experience we’re looking for: Demonstrated success leading complex data More ❯
to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity, and More ❯
What if... you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies to transform human health and sustainability? Company Summary: Quotient Therapeutics, Inc. is a privately held, early-stage company developing a novel More ❯
scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages More ❯
Vacancy for Metadata Specialist at University of Cambridge 28 March 2021 Cambridge Fixed Term Cambridge University Libraries are about to embark on an exciting five-year Digital Preservation Programme to establish the Cambridge University Libraries Digital Preservation Service. Based at the main University Library, an exciting opportunity has arisen for a Metadata Specialist on the Programme. This is a new … future users. These collections include digitised images, research publications and data, and born-digital archives. Within the Digital Preservation team and reporting to the Head of Digital Preservation, the Metadata Specialist will focus on metadata management to support digital preservation and access. The role involves ensuring metadata exists within systems, developing data models and schemas, and optimizing processes around collection … metadata. The key activities include: Analyzing and evaluating existing metadata workflows for digital collections. Cleaning, transforming, optimizing, and enriching metadata to support collection management and improve efficiency. Informing how metadata is consumed by current and future systems. Promoting the use of metadata in creation, enrichment, analysis, and management reporting. Developing and monitoring compliance with metadata standards and policies, and implementing More ❯
ensuring smooth deployment and adoption Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments Provide customer technical documentation, workflows, and best practices for metadata management and governance Proactively identify technical implementation risks and provide recommendations to mitigate issues before they arise Post-Implementation Optimization Support advanced technical integrations to extend platform capabilities Deliver ongoing … technical insights to help customers improve efficiency, performance, and scalability Advise customers on complex metadata manipulation projects Technical Customer Success Partner with Product and Engineering to influence roadmap priorities based on customer feedback Support customer presentations, providing technical insights that reinforce business impact Contribute to case studies showcasing innovative metadata implementations Skills and Expertise: 5+ years in technical implementation, consulting … Strong communication and interpersonal skills, with the ability to engage stakeholders at all levels Preferred: Strong understanding of data catalogs, business glossaries, lineage tracking, and governance policies Experience with metadata-driven architectures and data integration strategies across cloud and hybrid environments Prior experience in a Technical Account Management (TAM) or Technical and/or Data Consulting role What We Offer More ❯
ensuring smooth deployment and adoption Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments Provide customer technical documentation, workflows, and best practices for metadata management and governance Proactively identify technical implementation risks and provide recommendations to mitigate issues before they arise Post-Implementation Optimization Support advanced technical integrations to extend platform capabilities Deliver ongoing … technical insights to help customers improve efficiency, performance, and scalability Advise customers on complex metadata manipulation projects Technical Customer Success Partner with Product and Engineering to influence roadmap priorities based on customer feedback Support customer presentations, providing technical insights that reinforce business impact Contribute to case studies showcasing innovative metadata implementations Skills and Expertise: 5+ years in technical implementation, consulting … Strong communication and interpersonal skills, with the ability to engage stakeholders at all levels Preferred: Strong understanding of data catalogs, business glossaries, lineage tracking, and governance policies Experience with metadata-driven architectures and data integration strategies across cloud and hybrid environments Prior experience in a Technical Account Management (TAM) or Technical and/or Data Consulting role What We Offer More ❯
ensuring smooth deployment and adoption Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments Provide customer technical documentation, workflows, and best practices for metadata management and governance Proactively identify technical implementation risks and provide recommendations to mitigate issues before they arise Post-Implementation Optimization Support advanced technical integrations to extend platform capabilities Deliver ongoing … technical insights to help customers improve efficiency, performance, and scalability Advise customers on complex metadata manipulation projects Technical Customer Success Partner with Product and Engineering to influence roadmap priorities based on customer feedback Support customer presentations, providing technical insights that reinforce business impact Contribute to case studies showcasing innovative metadata implementations Skills and Expertise: 5+ years in technical implementation, consulting … Strong communication and interpersonal skills, with the ability to engage stakeholders at all levels Preferred: Strong understanding of data catalogs, business glossaries, lineage tracking, and governance policies Experience with metadata-driven architectures and data integration strategies across cloud and hybrid environments Prior experience in a Technical Account Management (TAM) or Technical and/or Data Consulting role What We Offer More ❯
ensuring smooth deployment and adoption Manage the technical setup, configuration, and deployment of Zeenea, ensuring seamless integration into customer environments Provide customer technical documentation, workflows, and best practices for metadata management and governance Proactively identify technical implementation risks and provide recommendations to mitigate issues before they arise Post-Implementation Optimization Support advanced technical integrations to extend platform capabilities Deliver ongoing … technical insights to help customers improve efficiency, performance, and scalability Advise customers on complex metadata manipulation projects Technical Customer Success Partner with Product and Engineering to influence roadmap priorities based on customer feedback Support customer presentations, providing technical insights that reinforce business impact Contribute to case studies showcasing innovative metadata implementations Skills and Expertise: 5+ years in technical implementation, consulting … Strong communication and interpersonal skills, with the ability to engage stakeholders at all levels Preferred: Strong understanding of data catalogs, business glossaries, lineage tracking, and governance policies Experience with metadata-driven architectures and data integration strategies across cloud and hybrid environments Prior experience in a Technical Account Management (TAM) or Technical and/or Data Consulting role What We Offer More ❯
