Top Data Jobs in Belfast
The Data Engineer will build scalable data pipelines and design data architecture, including schemas. Responsibilities include developing CI/CD infrastructure, maintaining data APIs, and supporting AI components. The role demands collaboration with stakeholders and requires knowledge in data technologies and performance optimization.
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.
As a Principal Data Analyst, you'll transform large datasets into insights, architect analytical solutions, mentor analysts, and collaborate with product managers and engineers to derive actionable insights. You'll also conduct complex data analyses and use visualization tools to communicate insights effectively.
The Data Scientist III role involves applying data management principles, advanced statistical methods, and machine learning techniques to solve business problems. Responsibilities include developing and validating analytical models, deploying them in production, conducting exploratory data analysis, and creating data visualizations. The position also requires translating business challenges into data-driven solutions and mentoring junior associates.
The Senior Data Analyst will lead data-centric projects, analyze complex datasets to uncover business insights, and communicate findings effectively to stakeholders. This role requires collaboration with product managers and engineers to ensure proper data management and governance, and to develop strategies for leveraging data to enhance business outcomes.
As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.
The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.
As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
The Principal Data Architect will shape data strategy, design and implement secure data architectures on AWS, mentor a skilled team, and ensure solutions meet high data security standards for complex projects.
The Freelance Master Data Associate will ensure adherence to global processes for master data management, oversee supplier onboarding through evaluation of registrations, verify documentation completeness, maintain a compliant supplier database, and follow internal control policies during the onboarding process.
As a Product Data Analyst, you will analyze client usage of reporting tools and provide improvement recommendations. You will generate internal reports, ensure data quality, maintain documentation, and mentor team members in analytics best practices while collaborating with customer success and product teams.
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
The Product Data Analyst drives key product decisions through data and analytics. They collaborate with product teams to conduct critical analyses, identify user behavior patterns, and implement measurement plans for product analytics. They design and maintain reporting systems to support data-driven operations and decisions.
As a Data Scientist at Sun Life, you will analyze data, build statistical models, and implement machine learning solutions. You will collaborate with a team to develop insights that support the company’s financial services and enhance client outcomes.
The Data Team Manager at Storyblok will lead data science and engineering efforts, shaping data strategy and managing a team of four. Responsibilities include defining the data analytics strategy, partnering with various teams for actionable insights, and ensuring high-impact projects are delivered on time to support business objectives.
As a Senior Data Analyst at EFG, you will lead the development of data products and visualizations, guide team members, and enhance business decision-making through insightful analyses. You are responsible for project ownership and establishing best practices within the analytics team, using your expertise in both analytics and business to improve outcomes.
Responsible for managing Data & Analytics for the Source to Pay area within Mars Pet Nutrition's SAP S/4HANA transformation. This role involves building a high-performing team, ensuring effective data management, and collaborating across departments to align timelines and activities related to the project.
The role involves managing Data & Analytics for the Plan to Fulfil area as part of the S/4HANA digital transformation in Pet Nutrition. Responsibilities include data collection, analysis, and presentation of findings to stakeholders, along with ensuring data accuracy and developing solutions.
The role involves overseeing Data & Analytics for Lead to Cash within the Shepherd transformation program. Responsibilities include data collection and cleaning, data analysis using statistical techniques, and reporting findings to stakeholders through dashboards and visualizations. It's vital to ensure data accuracy and provide insightful analysis to guide decision-making in the digital transformation process.
The candidate will manage Data & Analytics for Finance as part of a significant ERP Digital Transformation within Mars Pet Nutrition. Responsibilities include overseeing data ownership, collaborating with various teams, and enhancing data systems and models related to Finance.
As a Senior Content Developer in Data Science, you will create and maintain data science courses on the DataCamp platform, support course development, provide feedback, and engage with expert instructors. Your role involves ensuring content quality and using data to suggest improvements, while managing project timelines effectively.
The VP of Real World Data at Clinigen will lead the strategic planning and operational delivery of Real World Data initiatives, manage P&L, develop client offerings, and enhance market competitiveness. Responsibilities include building a strong team, aligning with business development, and ensuring effective communication across stakeholders.
As a Data Scientist at Moneyhub, you will generate value from diverse data sources, focusing on machine learning applications for transaction categorization, and improve data science products to enhance budgeting and affordability features.
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