13 joburi disponibile

*We are unable to sponsor for this 12 Month Remote Contract role* Prestigious Enterprise Company is currently seeking a Cyber Risk Management Capability Assessor. Candidate will assess the effectiveness and conduct risk assessments of cyber risk management capabilities, including policies, processes, and technical capabilities, leveraging the enterprise cyber risk management requirement and control framework. In addition, they will have responsibilities to maintain the framework, harmonizing emerging regulations and cyber security frameworks to the framework, updating it and revising capability effectiveness criteria in collaboration with capability owners as needed. Responsibilities: Cyber Risk Management Capability Assessments: Conduct in-depth assessments of the effectiveness of cyber risk management capabilities within the organization. Gap Analysis: Identify gaps in cyber risk management capability effectiveness and provide recommendations for enhancing the organization's cyber risk management posture. Documentation & Reporting: Develop detailed reports and documentation on assessment findings, remediation plans, and effectiveness metrics. Stakeholder Collaboration: Work closely with cyber risk management, technology, and business partners to ensure that cyber risk management capabilities are effective. Compliance, Standards, and Regulatory Alignment: Ensure adherence to regulatory and industry standard requirements such as NIST 800-53, SOC 2, 23 NYCRR 500, NAIC Model Law, and HIPAA, by harmonizing those requirement sets to the enterprise cyber risk management requirement framework. As regulations and standards are introduced and updated, enhance and extend the framework. Qualifications: Bachelors degree in Cybersecurity, Information Security, Computer Science, or a related field. Minimum 5-8 years of experience in cyber security, compliance, cyber risk assessment, or security auditing. Working knowledge of NIST 800-53, NIST 800-171, and FedRamp. Demonstrated experience assessing both on-premises and cloud-based cyber risk management controls (Azure and Oracle Cloud Infrastructure) Familiarity with technology management methodologies (DevOps, SAFe, ITIL) Expertise in multiple cyber risk management domains Understanding of cyber risk management oversight and administration processes, security architecture, technical security controls, and data protection strategies. Strong analytical and problem-solving skills. Excellent communication and report-writing abilities. Ability to work independently and lead cyber risk management assessments. Strong understanding of regulatory compliance and risk management principles. Ability to collaborate with cross-functional teams and provide security guidance. Required Skills: Azure Control Assessment FedRAMP Oracle Cloud control assessment Certifications (Preferred): CISSP, CISA, CISM, CRISC, CAP, Security+, or equivalent.

Software Engineers C++ Algorithmic Trading Location: Hybrid (2 Days in London) Start Date: April 2025 (Immediate Start Available) Contract Length: Long-Term (Inside IR35) Job Type: Contract Industry: Algorithmic Trading Are you a passionate C++ developer with a strong background in algorithmic trading? Do you thrive in a fast-paced environment and have experience developing sophisticated trading systems? This is your opportunity to join a global leader in the energy and finance sectors and work on cutting-edge algorithmic trading platforms. Why This Opportunity? This role offers the chance to join a major player in the energy and finance industries, working on high-performance, Real Time trading systems. You will collaborate closely with the Electronic Market Making (EMM) and Trading Business teams to develop and enhance the core algorithms that drive trading systems in financial markets. The position offers a hybrid working arrangement with flexibility to work 2 days a week in London. Key Responsibilities: Algorithm Design & Development: Create and implement algorithms that power trading platforms, enabling orders to be routed directly to exchanges or internal systems based on the logic you build. Market Data & Exchange Connectivity: Manage market data pricing and exchange connectivity, ensuring low-latency, high-performance execution. Leadership & Mentorship: Lead a talented team of C++ engineers, driving technical excellence, performance optimization, and high-quality code delivery. Collaboration: Work with the trading business to ensure algorithms meet market requirements and business goals. System Stability & Operational Excellence: Ensure the platform is stable, with maximum uptime for trading systems operating in various markets. What We're Looking For: Trading Experience: Recent experience working in algorithmic/electronic/Real Time trading systems is essential. Technical Leadership: Proven ability to lead a technical team in high-performance, complex environments. C++ Expertise: Strong proficiency in C++ programming, with an in-depth understanding of object-oriented programming, data structures, algorithms, and performance/latency optimization. Systems Design & Architecture: Experience with the design and architecture of complex, distributed systems. Linux Knowledge: Solid experience with Linux platforms and operating systems. Communication Skills: Excellent communication skills to lead teams, guide technical discussions, and collaborate with business stakeholders. Problem-Solving: Strong analytical skills to tackle complex issues in fast-paced environments. Skills & Requirements: Core Skills: Expertise in C++ development, systems design, and performance optimization. Experience with version control systems (eg, Git), build systems, and CI/CD pipelines. Familiarity with Python, Java, or other programming languages is a plus. Ability to translate business requirements into functional code. Experience conducting code reviews and maintaining high coding standards. Experience: 5-10 years of experience in algorithmic/electronic/Real Time trading systems development. 5+ years in a leadership role, managing and mentoring teams of engineers. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Familiarity with Agile or Scrum development methodologies. Desired Expertise: Significant experience in algorithmic trading environments (hedge funds, proprietary traders, liquidity providers). Excellent problem-solving abilities and critical thinking skills. Strong interpersonal skills and the ability to work effectively in a collaborative, team-based setting. What's in it for You? Contract Role: Competitive daily rate with the flexibility of hybrid working (2 days in London). Career Growth: Lead and mentor a team of skilled engineers while working on cutting-edge algorithmic trading technologies. Stability & Impact: Contribute to the success of high-performance trading systems in a global financial technology environment, ensuring systems operate smoothly and efficiently. How to Apply If you have the expertise and passion to develop high-performance trading algorithms, we want to hear from you! Apply today and email with all evidence of suitability for this job, your salary expectations and availability to interview with provisional day you can start the job (see below) Marina Economidou, Senior Recruitment Consultant

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Enterprise Firm is currently seeking a Senior Cloud Hosting Services Engineer with strong Azure experience. Candidate will be the IT Infrastructure team's cloud SME. Candidate will demonstrate their knowledge and hands-on experience with Azure cloud tools/technologies The Sr. Cloud Engineer reports to the Manager of Infrastructure Services. The ideal candidate will have extensive experience with Microsoft Azure, including PaaS and IaaS, and a strong understanding of Azure security best practices. Proficiency in creating and managing ARM and Bicep templates and supporting DevOps teams is essential. This role will involve designing, implementing, and maintaining cloud-based solutions to meet our business needs. Responsibilities: Design, implement, and manage scalable, secure, and reliable cloud infrastructure on Microsoft Azure. Develop and maintain Infrastructure as Code (IaC) using ARM and Bicep templates. Develop skill set across three domains (Infrastructure, Containers, and Networking) to better support the client. Ensure adherence to Azure security best practices and compliance requirements. Collaborate with DevOps teams to support CI/CD pipelines and automation processes. Monitor and optimize cloud resources for performance, cost, and scalability. Troubleshoot and resolve issues related to cloud infrastructure and services. Implement and manage Azure PaaS and IaaS solution, including on-premises server, storage, and database systems, among others. Independently and collaboratively lead client engagement workstreams focused on project, improvement, optimization, and transformation of processes. Communicate effectively and appropriately with both technical and non-technical audiences. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 8+ years professional experience with multiple cloud platforms and technologies, including PaaS and IaaS. Ability to provide technical guidance and support to DevOps teams. Extensive experience with ARM/Bicep templates and Azure security best practices. Experience with distributed computing, complex architecture design, leading large-scale projects, and mentoring junior team members. Familiarity with managed Kubernetes services like Azure Kubernetes Service (AKS) and Azure Container Apps. Skilled in creating and managing Azure hub and spoke networks, using Network Virtual Appliances (NVAs), Route Tables (UDRs), applying Network Security Groups (NSGs), and ExpressRoute circuits. Proven experience with the Microsoft Cloud Adoption Framework and Azure Well-Architected Framework. Managing Infrastructure as Code (IaC) templates through Azure DevOps (or similar toolset), including use of Git, work items, branching, pull requests, and pipelines. Experience with monitoring, optimizing cloud resources, and creating custom Azure Policies. Preferred Qualifications: Master's degree in Computer Science, Engineering, or a related field. Experience in AI/Data-related project support with DevOps teams. Demonstrated experience with Security and IT Governance, including federated Identity and Access Management (IAM) solutions, including MFA, as well as Cloud Access Security Broker tools, to govern secure access to resources. Familiarity with other Infrastructure as Code (IaC) tools such as Terraform or Ansible. Other public cloud experience (AWS, Google, etc.). Azure VMware Solution (AVS) experience.

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Data Governance MDM Analyst. Candidate will act as a liaison and translation layer between business and technical teams and operate at system- and detailed technical level for analysis purposes. Implement and support Metadata Management, Data Lineage, Data Quality and other essential Data Governance functions. Responsibilities: Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements), define data elements for the Business Glossary and define business rules. Identify data sources and build out business glossary collaborating with data owners/stewards, collaborate with data modelers to review definitions of business terms vs technical terms. Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Design, Build and Execute Data Quality Rules over the CDEs identified according to the business needs to ensure clean and healthy data. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Implement data governance policies, procedures, controls, and standards. Hands on experience working on data quality and data governance technology and tools. Utilize data profiling and data quality tools to analyze and determine causes of data quality issues. Design and implement Data Quality Dashboards for monitoring and reporting. Perform other duties as assigned. Qualifications: Ability to work independently and as part of a team to successfully execute projects. Ability to multitask and meet aggressive deadlines efficiently and effectively. Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite or Informatica. Proficient with SQL. Strong data analysis capabilities. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Strong written and oral communication skills with ability to work with users, peers and management. Capital market or banking domain experience is preferred. Prior development/coding experience is preferred. Experience working on Protobuf, APIs, Kafka as Data Sources is preferred. Experience working with draw.io or other tools creating architecture or data flow diagrams. Structured Query Language (SQL) Data Governance Tools example Collibra, IBM ISEE, Informatica etc. Bachelors or masters degree in data analytics, computer science or related field. 7+ years of experience in data governance disciplines: metadata management; data quality analysis; data quality remediation; data profiling and data lineage. DAMA certification preferred.

*We are unable to sponsor as this is a permanent Full time role* *Hybrid, 3 days onsite, 2 days remote* A prestigious company is looking for a Azure Cloud Hosting Services Engineer. This engineer will focus extensively on PAAS and IAAS Azure platforms, IaC, ARM/Bicep templates, Azure Kubernetes Service, Azure Container APPS, Azure DevOps, Azure Vmware, etc. Responsibilities: Design, implement, and manage scalable, secure, and reliable cloud infrastructure on Microsoft Azure. Develop and maintain Infrastructure as Code (IaC) using ARM and Bicep templates. Develop skill set across three domains (Infrastructure, Containers, and Networking) to better support the client. Ensure adherence to Azure security best practices and compliance requirements. Collaborate with DevOps teams to support CI/CD pipelines and automation processes. Monitor and optimize cloud resources for performance, cost, and scalability. Troubleshoot and resolve issues related to cloud infrastructure and services. Implement and manage Azure PaaS and IaaS solution, including on-premises server, storage, and database systems, among others. Independently and collaboratively lead client engagement workstreams focused on project, improvement, optimization, and transformation of processes. Communicate effectively and appropriately with both technical and non-technical audiences. Participate in weekly rotating 24/7 on-call support schedule with other team members. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 8+ years professional experience with multiple cloud platforms and technologies, including PaaS and IaaS (with multiple of those years being Azure-specific). Extensive experience with ARM/Bicep templates and Azure security best practices. Familiarity with managed Kubernetes services like Azure Kubernetes Service (AKS) and Azure Container Apps. Skilled in creating and managing Azure hub and spoke networks, using Network Virtual Appliances (NVAs), Route Tables (UDRs), applying Network Security Groups (NSGs), and ExpressRoute circuits. Proven experience with the Microsoft Cloud Adoption Framework and Azure Well-Architected Framework. Managing Infrastructure as Code (IaC) templates through Azure DevOps (or similar toolset), including use of Git, work items, branching, pull requests, and pipelines. Experience with monitoring, optimizing cloud resources, and creating custom Azure Policies.

*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for an Associate Principal, Technical Data Governance. This person will be the liaison between business/technical teams and will be focused on supporting and implementing data quality, Metadata management, data lineage, data mapping, data governance, etc. This person will need to be proficient with SQL data structure and will work within the Collibra Platform. This person must come from a financial company. Responsibilities: Work closely with Data Domain Owners and SMEs to identify CDE s (Critical Data Elements), define data elements for the Business Glossary and define business rules. Identify data sources and build out business glossary collaborating with data owners/stewards, collaborate with data modelers to review definitions of business terms vs technical terms. Ability to communicate effectively with Business and Technical SMEs, Architects, Analysts, Developers and other IT and business teams. Create, develop, configure and execute end to end business and technical data lineage across disparate sources working with business and technical SMEs/developers understanding the applications system/technical design and create data flow diagrams/data mappings. Experience working on metadata management ingesting metadata using metadata bridges/connectors, creating and ingesting custom source to target mappings, custom metadata assets. Develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies etc. Design, Build and Execute Data Quality Rules over the CDEs identified according to the business needs to ensure clean and healthy data. Manage Data Quality Exceptions and help the team to find out the root cause analysis. Implement data governance policies, procedures, controls, and standards. Hands on experience working on data quality and data governance technology and tools. Utilize data profiling and data quality tools to analyze and determine causes of data quality issues. Design and implement Data Quality Dashboards for monitoring and reporting. Qualifications: Bachelors or masters degree in data analytics, computer science or related field. 5-7 years of experience in data governance disciplines: metadata management; data quality analysis; data quality remediation; data profiling and data lineage. DAMA certification preferred. Experience with Data Governance tools such as Collibra, IBM Infosphere Information Server Suite or Informatica. Proficient with SQL. Strong data analysis capabilities. Proficient with Microsoft Office desktop tools (Word, Excel, etc.) Experience with Databases (ie Oracle, SQL Server, DB2, Amazon Redshift, NoSQL, Object-based) and ETL tools. Previous experience in designing and building data capabilities like data quality, metadata, data lineage, data catalog and data dictionary. Experience with Business Intelligence/Reporting tools such as Tableau/Cognos. Prior development/coding experience is preferred. Experience working on Protobuf, APIs, Kafka as Data Sources is preferred. Experience working with draw.io or other tools creating architecture or data flow diagrams. Data Governance Tools example Collibra, IBM ISEE, Informatica etc.

Contract - Senior Cyber Risk Engineer Rate: Open Location: Remote Duration: 1 year Qualifications Bachelor's degree in Cybersecurity, Information Security, Computer Science, or a related field. Certifications (Preferred): CISSP, CISA, CISM, CRISC, CAP, Security+, or equivalent. 5+ years of experience in cyber security, compliance, cyber risk assessment, or security auditing. Working knowledge of NIST 800-53. Proficient in supporting the performance of SOC 2 audits by external auditors and prepare materials to support attestations with NAIC model laws and NYDFS. Cloud-based cyber risk management controls (Azure and/or Oracle Cloud Infrastructure). Technology management methodologies (DevOps, SAFe, ITIL). Proficiency in multiple cyber risk management domains. Understanding of cyber risk management oversight and administration processes, security architecture, technical security controls, and data protection strategies. Responsibilities Cyber Risk Management Capability Assessments: Conduct thorough assessments of the effectiveness of cyber risk management capabilities within the organization. Gap Analysis: Identify gaps in cyber risk management capability effectiveness and provide recommendations for enhancing the organization's cyber risk management posture. Issue Management & POAM: Manage issues and develop Plan of Action and Milestones (POAM) to address identified gaps and vulnerabilities. Documentation & Reporting: Develop detailed reports and documentation on assessment findings, remediation plans, and effective metrics. Stakeholder Collaboration: Work closely with cyber risk management, technology, and business partners to ensure that cyber risk management capabilities are effective. Compliance, Standards, and Regulatory Alignment: Ensure adherence to regulatory and industry standard requirements such as NIST 800-53, SOC 2, 23 NYCRR 500, NAIC Model Law, and HIPAA. As regulations and standards are introduced and updated, assist in enhancing and extending the framework.

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Cloud Automation and Tools Software Engineer with strong Python/PowerShell automation experience. Candidate will be part of a small Innovation team of Engineers that will collaborate with stakeholders, partner teams, and Solutions Architects to research and engineer emerging technologies as part of a comprehensive requirements-driven solution design. Candidate will be developing technology engineering requirements and working on Proof-of-Concept and laboratory testing efforts using modern approaches to process and automation. Candidate will build/deploy/document/manage Lab environments within On-Prem/Cloud Datacenters to be used for Proof-of-Concepts and rapid prototyping. In this engineering role, you will use your technology background to evaluate emerging technologies and help OTSI Leadership make informed decisions on changes to the Technology Roadmap. Responsibilities: Engineer and maintain Lab environments in Public Cloud and the Data Centers using Infrastructure as Code techniques Collaborate with Engineering, Architecture and Cloud Platform Engineering teams to evaluate, document, and demonstrate Proof of Concepts for infrastructure, application and services that impact the Technology Roadmap Document Technology design decisions and conduct Technology assessments as part of a centralized Demand Management process within IT Apply your expertise in compute, storage, database, server-less, monitoring, microservices, and event management to pilot new/innovative solutions to business problems Find opportunities to improve existing infrastructure architecture to improve performance, support, scalability, reliability, and security Incorporate security best practices, Identity and Access Management, and encryption mechanisms for data protection Develop automation scripts and processes to streamline routine tasks such as scaling, patching, backup, and recovery Create and maintain operational documentation, runbooks, and Standard Operating Procedures (SOPs) for the Lab environments that will be used to validate assumptions within high level Solution Designs Qualifications: Ability to think strategically and map architectural decisions/recommendations to business needs Advanced problem-solving skills and logical approach to solving problems [Required] Ability to develop tools and automate tasks using Scripting languages such as Python, PowerShell, Bash, PERL, Ruby, etc [Preferred] Experience with DevOps tools, eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc. [Preferred] Experience with distributed message brokers Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Technical Skills: In depth knowledge of on-premises, cloud and hybrid networking concepts Knowledge of Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Azure Resource Manager Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes [Preferred] Familiarity with security standards such as the NIST CSF Education and/or Experience: [Preferred] Bachelor's or master's degree in computer science related degree or equivalent experience [Required] 7+ years of experience as a System or Cloud Engineer with hands on implementation, security, and standards experience within a hybrid technology environment [Required] 3+ years of experience contributing to the architecture of Cloud and On-Prem Solutions Certificates or Licenses: [Preferred] Cloud computing certification such as AWS Solutions Architect Associate, Azure Administrator or something similar [Desired] Technical Security Certifications such as AWS Certified Security, Microsoft Azure Security Engineer or something similar [Desired] CCNA, Network+ or other relevant Networking certifications

*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Cloud Automation and Tools Software Engineer with strong Python/PowerShell automation experience. Candidate will be part of a small Innovation team of Engineers that will collaborate with stakeholders, partner teams, and Solutions Architects to research and engineer emerging technologies as part of a comprehensive requirements-driven solution design. Candidate will be developing technology engineering requirements and working on Proof-of-Concept and laboratory testing efforts using modern approaches to process and automation. Candidate will build/deploy/document/manage Lab environments within On-Prem/Cloud Datacenters to be used for Proof-of-Concepts and rapid prototyping. In this engineering role, you will use your technology background to evaluate emerging technologies and help OTSI Leadership make informed decisions on changes to the Technology Roadmap. Responsibilities: Engineer and maintain Lab environments in Public Cloud and the Data Centers using Infrastructure as Code techniques Collaborate with Engineering, Architecture and Cloud Platform Engineering teams to evaluate, document, and demonstrate Proof of Concepts for infrastructure, application and services that impact the Technology Roadmap Document Technology design decisions and conduct Technology assessments as part of a centralized Demand Management process within IT Apply your expertise in compute, storage, database, server-less, monitoring, microservices, and event management to pilot new/innovative solutions to business problems Find opportunities to improve existing infrastructure architecture to improve performance, support, scalability, reliability, and security Incorporate security best practices, Identity and Access Management, and encryption mechanisms for data protection Develop automation scripts and processes to streamline routine tasks such as scaling, patching, backup, and recovery Create and maintain operational documentation, runbooks, and Standard Operating Procedures (SOPs) for the Lab environments that will be used to validate assumptions within high level Solution Designs Qualifications: Ability to think strategically and map architectural decisions/recommendations to business needs Advanced problem-solving skills and logical approach to solving problems [Required] Ability to develop tools and automate tasks using Scripting languages such as Python, PowerShell, Bash, PERL, Ruby, etc [Preferred] Experience with DevOps tools, eg Terraform, Ansible, Jenkins, Kubernetes, Helm and CI/CD pipeline etc. [Preferred] Experience with distributed message brokers Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. Technical Skills: In depth knowledge of on-premises, cloud and hybrid networking concepts Knowledge of Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Azure Resource Manager Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes [Preferred] Familiarity with security standards such as the NIST CSF Education and/or Experience: [Preferred] Bachelor's or master's degree in computer science related degree or equivalent experience [Required] 7+ years of experience as a System or Cloud Engineer with hands on implementation, security, and standards experience within a hybrid technology environment [Required] 3+ years of experience contributing to the architecture of Cloud and On-Prem Solutions Certificates or Licenses: [Preferred] Cloud computing certification such as AWS Solutions Architect Associate, Azure Administrator or something similar [Desired] Technical Security Certifications such as AWS Certified Security, Microsoft Azure Security Engineer or something similar [Desired] CCNA, Network+ or other relevant Networking certifications

Snowflake Engineer (m/f/d) - cloud platform- AWS/Python/Java/C++/Scala/SQL/ETL/ELT/Cloud Native tools and Services/English Project : For our customer a big pharmaceutical company in Basel we are looking Snowflake Engineer (m/f/d). Background : Clinical trials generate a lot of data, at Roche/Genentech, we use this data in order to make clinical trials more efficient, and effective. Joining Roche/Genentech, you will be at the forefront of innovation within drug discovery and clinical trials. Whether it is in developing open source tools or developing tools that will be used by more than 1000 fellow Roche/Genentech data scientists, you will be working in a multifaceted international team that will be developing and testing software prototypes. The tool that you will be working on automatically generates discrepancies based on the metadata ingested with minimum input from users. Those discrepancies can be optimized to speed up the data cleaning process and allow a fit for purpose data cleaning approach by sending the right query at the right time to the appropriate user reducing the query burden at the sites. Joining a team of inspired professionals with your skills as snowflake engineer you will design and implement data architecture, writing functions and integrating various data models. Besides, you will also focus on optimizing performance, ensuring security, and maintaining the health of the data warehouse through monitoring and troubleshooting. Additionally, you will automate data workflows, collaborate with data stakeholders, and provide documentation and training to ensure effective use of the Snowflake platform for data analytics and business intelligence The perfect has minimum 1-2 years experience working with Snowflake's cloud data platform and is proficient in programming languages such as Python. Additionally we are looking for someone who is experienced with SQL for querying and managing databases. English must be fluent for this role. Tasks & Responsibilities: * Design and implement scalable and efficient data storage and data processing solutions within Snowflake. * Write, optimize, and troubleshoot business owned and developed tables, views, functions and SQL queries within the Snowflake environment. * Ensure data security and compliance with industry standards. * Collaborate with cross-functional teams to meet data-driven business objectives. * Potentially integrate Snowflake with ServiceNow. Must Haves: * Minimum 1-2 years experience working with Snowflake's cloud data platform. * Proficiency in programming languages such as Python (and/or Java, C++, or Scala.) * Experience with SQL for querying and managing databases. * Understanding of data warehousing concepts and architecture. * Familiarity with concepts like ETL/ELT processes. * Performance tuning abilities * Knowledge of cloud platforms such as AWS * Experience using cloud-native tools and services. * English fluent Reference Nr.: 924106SDA Role : Snowflake Engineer (m/f/d) Industrie : Pharma Workplace : Basel Pensum : 100% (during onboarding only onsite, afterwards 1-2 days remote (depending on performance) Start : ASAP (latest Start Date: 1.6.25) Duration : 6 Deadline : 06/04/2025 If you are interested in this position, please send us your complete dossier via the link in this advertisement. About us: ITech Consult is an ISO 9001:2015 certified Swiss company with offices in Germany and Ireland. ITech Consult specialises in the placement of highly qualified candidates for recruitment in the fields of IT, Life Science & Engineering. We offer staff leasing & payroll services. For our candidates this is free of charge, also for Payroll we do not charge you any additional fees.

We have an exciting job opportunity for Pre-Sales Core Solution/Practice Architect based in London, UK. Job Type: Permanent Job Description: Ability to mine current Portfolio of accounts dedicatedly by developing relationships with customer connects, generate sales and solution opportunities across Industry Domains (60% BFS, 20% INSURANCE, 20% Travel and Transportation, 10% Mix of Retail, Public Sector, Manufacturing, Life Sciences). Meet customers with regular cadence and help maintain and manage existing relationships Support Solution, RFP, RFI, RfX and manage Opportunities end to end and ability to convert working with Account and Industry BUs' Support Demand Generation, Manage Customer Expectations on the Demand Work with Delivery and Talent Acquisition Team to fulfil the Demands Fine Tune operational processes and make them effective and efficient to achieve desired outcome Take ownership to build Solutions (with support from various Technical and Functional SMEs) and Front End customer interactions in the region Meet and Exceed Growth/Revenue targets for the Portfolio (approx $15m) for DATA Service Line Assist in solution development by delivering feedback on market needs and opportunities Forge and grow deep professional connects with key decision makers within client organizations (NEW CLIENTS, EXISTING CLIENTS, PROSPECTS) Build relationship with Ecosystem partners such as Hyperscaler, Consultants, Advisors and other Industry influencers and establish the image of the firm in their mind. Nurture in-depth knowledge of the clients' business model, technology platforms, products and services, and key business influencers Aggressively Manage Revenue Growth by: Staying abreast of any new market and/or client organization developments and identifying new and/or cross sell opportunities Understanding client requirements, their business imperatives, and their critical pain points Strong understanding of Data, Analytics and AI concepts and experience in either delivery or pre-sales or solutions on next-gen Data on Cloud Technologies (eg Microsoft, Databricks, Snowflake, AWS, GCP) Successfully delivered Projects/Programs in building Enterprise Datra Platform on Cloud, Migration Programs, Data Consulting, or projects encompassing Data and Analytics life cycle Entrepreneurship mindset to manage customer expectations, manage demand and fulfilment cycle for opportunities, Proactive approach and Smart thinking. Excellent communicator Ability to travel 30% of time within UK, Europe, or Globally for Sales

We are currently looking on behalf of one of our important clients for a Senior Data Engineer. The role is permanent position based in Zurich Canton & comes with good home office allowance. Your role: Hold responsibility for designing, building & maintaining the Data Infrastructure. Contribute to Solution Architecture build & design. Provide valuable expertise to data science team to develop next-generation monitoring algorithms. Ensure that data pipelines deliver high-quality data in a robust, economic & scalable way. Your Skills & Experience: At least 5 years of relevant professional experience in Cloud Data Engineering, preferably on Azure. Strong experience in Big Data Processing frameworks (Apache Spark), CI/CD (GitHub actions) & DevOps Skilled & experienced in Python & SQL. Any experience in developing IoT Solutions is considered advantageous. Your Profile: Completed University Degree in the area Computer Science or Similar. Motivated, dynamic & innovative. Fluent in English (spoken & written). Any German language skills are considered very advantageous.