technology transformation. Lead workshops, stakeholder interviews, and technical assessments to gather and prioritise requirements. Guide clients through decisions on public, private, hybrid, and multi-cloud environments (e.g., AWS, Azure, GCP). Design and oversee implementation of conceptual solutions in collaboration with technical experts. Create business cases, ROI models, and transformation plans to support client decision-making. Produce high-quality documentation More ❯
technology transformation. Lead workshops, stakeholder interviews, and technical assessments to gather and prioritise requirements. Guide clients through decisions on public, private, hybrid, and multi-cloud environments (e.g., AWS, Azure, GCP). Design and oversee implementation of conceptual solutions in collaboration with technical experts. Create business cases, ROI models, and transformation plans to support client decision-making. Produce high-quality documentation More ❯
Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloudplatform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical analysis, mathematical modelling etc. Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity More ❯
SQLSvr/SSIS, but are on a transformation journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloudplatform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data More ❯
SQLSvr/SSIS, but are on a transformation journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloudplatform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data More ❯
Experienced Hire Customer Success London, United Kingdom Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our More ❯
topics: Contextual Datamodelling, Entity Relationship Modelling, Logical & Physical Datamodelling and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider … ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. Ideally, relevant practical project experience in Financial Services with proven leadership skills and ability to operate in complex environments/projects, managing multiple stakeholders at all levels of the organisation. An understanding or interest in Graph computing and semantic Datamodelling. A credible individual who More ❯
JSON). Familiarity with SAP systems like S/4HANA, SAP ECC, and third-party integrations. Proven experience in designing integration architectures in hybrid and cloud-native environments (AWS, GCP, or Azure). Strong development skills proficiency in Groovy scripting, Java, and other languages used in integration scenarios. Good analytical and problem-solving skills to address complex integration challenges. Excellent More ❯
About the Role The Data Engineer plays a key role in shaping and delivering Global Switch’s modern data platform, enabling insights and analytics across a global data centre organisation. Reporting to the Head of Data, this role is central More ❯
About the Role The Data Engineer plays a key role in shaping and delivering Global Switch’s modern data platform, enabling insights and analytics across a global data centre organisation. Reporting to the Head of Data, this role is central More ❯
About the Role The Data Engineer plays a key role in shaping and delivering Global Switch’s modern data platform, enabling insights and analytics across a global data centre organisation. Reporting to the Head of Data, this role is central More ❯
Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely More ❯
Work cross-functionally with Services and Engineering teams. Qualifications: Demonstrated experience in deploying, managing, and operating scalable and fault-tolerant Linux/Kubernetes/JVM-based infrastructure in AWS, GCP, and other public clouds. Expertise in Linux Operating Systems, Networking, and Database concepts. Experience with Cassandra (or another NoSQL alternative). Expertise in cloud providers, such as Amazon Web Services More ❯
and their application to insurance pricing Familiarity with catastrophe modelling software (e.g., RMS, AIR) Experience with data visualisation tools (e.g., Tableau, Power BI) Experience with cloud platforms (AWS, Azure, GCP) What we offer Opportunity to architect and build cutting-edge pricing capabilities Clear progression path to becoming a critical leader within our pricing function Exposure to diverse lines of business More ❯
and willingness to learn a base level of Spark. Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platforms (AWS, GCP, Azure). Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. Nice to More ❯
processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data solutions. Knowledge of MLOps practices and tools, such as MLflow or Kubeflow. Strong problem-solving skills, with the ability to troubleshoot both ML models and More ❯
processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and data solutions. Knowledge of MLOps practices and tools, such as MLflow or Kubeflow. Strong problem-solving skills, with the ability to troubleshoot both ML models and More ❯
marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads More ❯
marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads More ❯
Azure. Nice to Have Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn. Experience with multiple cloud platforms such as AWS, GoogleCloudPlatform, Oracle, NVIDIA, or on-prem environments. Perks and Benefits Salary dependent on experience Package of attractive benefits including private medical insurance and monthly travel card You will join a More ❯
as: SCA/SAST/SBOM Management/Container Security Ability to build software pipelines with various DevOps tools Hands-on experience with cloud infrastructures - AWS/Azure/GCP - Mandatory Experience with software development - a big advantage More ❯
ability to translate data insights into actionable strategies. Proven Impact: A history of delivering measurable business value through data-driven initiatives. Specific Qualifications Include: Deep expertise in cloud platforms (GCP, AWS, Azure) and modern data architectures (data lakes, data warehouses, data mesh). Proficiency in advanced data engineering techniques and tools. Strong communication and interpersonal skills to build relationships with More ❯
