Role: Senior RAM S Engineer Job Description Summary We are seeking a highly motivated and experienced Senior RAM Engineer to join our global team of experts in high voltage electrical equipment, with a particular focus on HVDC systems. As the Senior RAM Engineer, you will be responsible for coordinating, creating, verifying, and validating the reliability, availability, and maintainability models for HVDC systems and subsystems, managing risks and opportunities that affect the systems throughout their life cycle. You will also play a key role in enforcing engineering discipline and quality processes, developing and industrializing engineering solutions, promoting health and safety practices, and providing technical leadership and training to customers and colleagues Job Description Essential Responsibilities Reliability, Availability and Maintainability Studies and Management (RAMS) Defining RAMS study structure and processes; Monitoring the performance of RAMS processes; Tracking and reporting to the Project Directorate the status of the action list; Participating in cross functional Gate Reviews and present RAMS dashboard; Chairing the 3D Model Review for Maintainability; Leading the engagement with OEMs and relevant interface control documents; Leading the engagement, the Logistics Interface; Leading Maintainability deliverables and Consultant; Leading Workshop Consultants. Escalating to the GSC Technical Director and SHE Coordinator all SHE related risks. Health and Safety Actively and routinely promote the identification of hazards and EHS risks in own area of operation and objects of design. Provide insight to leaders, customers and colleagues with respect to own safety and systems and product integrity. Qualifications/Requirements Bachelor of Engineering degree or equivalent from an accredited institution Proven substantial knowledge and practical experience in performing reliability engineering in different industries Desired Characteristics Education Preferably educated with a Master of Engineering degree or above from an accredited institution or equivalent knowledge or professional experience. Technical Domain Competencies At least proficient in the following areas: HVDC domain knowledge Reliability, availability and maintainability (RAM) assessment and management Reliability Block Diagrams (RBD Failure Mode & Effects Analysis (FMEA) Knowledgeable in the following areas: Reliability Centred Maintenance Systems Engineering HazId HazOp Electrical power systems modelling and analysis Offshore electrical power facilities Engineering Management Competencies: Planning: Ability to plan and manage team work. Risk and Opportunity Management: Proactively identifies and manages risks, issues and opportunities. Acquisition and Supply: Generation of work products associated with acquiring or providing products or services. Knowledge Management: capable of deploying training, coaching and mentoring to customers and colleagues. Proactively records and disseminates return of experience. Technical Domain Tools knowledge: Proficient use of: Reliability and availability assessment modelling by Markov and Monte Carlo methods (Reliasoft, Isograph); Professional Competencies Communications: Strong oral and written communication skills in English. Critical Thinking: Capable of structuring defendable arguments, evidence, assumptions and decisions. Ethics and Professionalism: Personal commitment to professional standards, recognising obligations to society, the profession and the environment. Technical Leadership: understanding of customer need, problem solving, creativity and innovation, relationship management, operational oversight and accountability, engineering instinct. Negotiation: capable of resolving points of difference, to gain advantage for an individual or collective, or crafting outcomes to satisfy various interests. Team Dynamics and Facilitation: Ability to be a team player and to facilitate groups interactions. Characteristic: Self-motivating, proactive and results driven approach. Curious, resilient and willing to learn. Able to work to deadlines with high quality, sense of urgency and delivery. Focused on delivering value to customers. Strong problem-solving and root cause identification skills. Willingness to travel as required.
16/05/2024
Project-based
Role: Senior RAM S Engineer Job Description Summary We are seeking a highly motivated and experienced Senior RAM Engineer to join our global team of experts in high voltage electrical equipment, with a particular focus on HVDC systems. As the Senior RAM Engineer, you will be responsible for coordinating, creating, verifying, and validating the reliability, availability, and maintainability models for HVDC systems and subsystems, managing risks and opportunities that affect the systems throughout their life cycle. You will also play a key role in enforcing engineering discipline and quality processes, developing and industrializing engineering solutions, promoting health and safety practices, and providing technical leadership and training to customers and colleagues Job Description Essential Responsibilities Reliability, Availability and Maintainability Studies and Management (RAMS) Defining RAMS study structure and processes; Monitoring the performance of RAMS processes; Tracking and reporting to the Project Directorate the status of the action list; Participating in cross functional Gate Reviews and present RAMS dashboard; Chairing the 3D Model Review for Maintainability; Leading the engagement with OEMs and relevant interface control documents; Leading the engagement, the Logistics Interface; Leading Maintainability deliverables and Consultant; Leading Workshop Consultants. Escalating to the GSC Technical Director and SHE Coordinator all SHE related risks. Health and Safety Actively and routinely promote the identification of hazards and EHS risks in own area of operation and objects of design. Provide insight to leaders, customers and colleagues with respect to own safety and systems and product integrity. Qualifications/Requirements Bachelor of Engineering degree or equivalent from an accredited institution Proven substantial knowledge and practical experience in performing reliability engineering in different industries Desired Characteristics Education Preferably educated with a Master of Engineering degree or above from an accredited institution or equivalent knowledge or professional experience. Technical Domain Competencies At least proficient in the following areas: HVDC domain knowledge Reliability, availability and maintainability (RAM) assessment and management Reliability Block Diagrams (RBD Failure Mode & Effects Analysis (FMEA) Knowledgeable in the following areas: Reliability Centred Maintenance Systems Engineering HazId HazOp Electrical power systems modelling and analysis Offshore electrical power facilities Engineering Management Competencies: Planning: Ability to plan and manage team work. Risk and Opportunity Management: Proactively identifies and manages risks, issues and opportunities. Acquisition and Supply: Generation of work products associated with acquiring or providing products or services. Knowledge Management: capable of deploying training, coaching and mentoring to customers and colleagues. Proactively records and disseminates return of experience. Technical Domain Tools knowledge: Proficient use of: Reliability and availability assessment modelling by Markov and Monte Carlo methods (Reliasoft, Isograph); Professional Competencies Communications: Strong oral and written communication skills in English. Critical Thinking: Capable of structuring defendable arguments, evidence, assumptions and decisions. Ethics and Professionalism: Personal commitment to professional standards, recognising obligations to society, the profession and the environment. Technical Leadership: understanding of customer need, problem solving, creativity and innovation, relationship management, operational oversight and accountability, engineering instinct. Negotiation: capable of resolving points of difference, to gain advantage for an individual or collective, or crafting outcomes to satisfy various interests. Team Dynamics and Facilitation: Ability to be a team player and to facilitate groups interactions. Characteristic: Self-motivating, proactive and results driven approach. Curious, resilient and willing to learn. Able to work to deadlines with high quality, sense of urgency and delivery. Focused on delivering value to customers. Strong problem-solving and root cause identification skills. Willingness to travel as required.
Lead Data Engineer, Informatica Liverpool/Hybrid Circa £110k + bonus + benefits Databricks, Informatica, Azure Lead/Senior Data Engineer is required by vibrant Insurance organisation with offices in Liverpool. This is a key role within their data team that will see you driving forward new exciting data initiatives. You will help the organisation to implement what is needed to deliver strategic data platforms. This will include, but not limited to the end-to-end support for acquisition, organisation, integration, transformation and secure storage of mission-critical data. Key Responsibilities: Work closely in partnership with large system integrators to support the delivery of the programs that align to data strategy. Work with one or more delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and lead or support engineers in delivering the data products required as part of the programs. Partner with both the business and technical team to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. Partner with data management and governance leads to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data quality requirements. Mentor the Data Engineers in the team. Key Requirements: Significant experience and in-depth knowledge of data delivery; Datamodelling concepts, ETL procedures, and all steps of data production process Extensive hands-on experience in Informatica IICS, ADF, Warehousing technologies and associated patterns, Cloud platforms - Azure preferred Analyses data requirements and provides data analysis techniques, and applies Datamodelling (including data vault) and data quality techniques to establish, modify or maintain data structures and their associated components in complex environments Experience with Agile delivery frameworks/methodologies (eg Scrum, SAFe) and tools (ie Jira, Azure DevOps) Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner. Experience with mass ingestion capabilities and cloud process flows, data quality and master data management Understanding data related security challenges and tooling with specific technologies (eg Databricks) Experience in migrating data and associated systems from on-prem to cloud environments Consulting and collaborative working style creating a culture of accountability and sharing Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus *All salaries are subject to experience* For a full consultation on this role please contact Arc IT or email your CV to Arc IT Recruitment. Arc is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age.
14/05/2024
Full time
Lead Data Engineer, Informatica Liverpool/Hybrid Circa £110k + bonus + benefits Databricks, Informatica, Azure Lead/Senior Data Engineer is required by vibrant Insurance organisation with offices in Liverpool. This is a key role within their data team that will see you driving forward new exciting data initiatives. You will help the organisation to implement what is needed to deliver strategic data platforms. This will include, but not limited to the end-to-end support for acquisition, organisation, integration, transformation and secure storage of mission-critical data. Key Responsibilities: Work closely in partnership with large system integrators to support the delivery of the programs that align to data strategy. Work with one or more delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and lead or support engineers in delivering the data products required as part of the programs. Partner with both the business and technical team to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. Partner with data management and governance leads to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data quality requirements. Mentor the Data Engineers in the team. Key Requirements: Significant experience and in-depth knowledge of data delivery; Datamodelling concepts, ETL procedures, and all steps of data production process Extensive hands-on experience in Informatica IICS, ADF, Warehousing technologies and associated patterns, Cloud platforms - Azure preferred Analyses data requirements and provides data analysis techniques, and applies Datamodelling (including data vault) and data quality techniques to establish, modify or maintain data structures and their associated components in complex environments Experience with Agile delivery frameworks/methodologies (eg Scrum, SAFe) and tools (ie Jira, Azure DevOps) Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner. Experience with mass ingestion capabilities and cloud process flows, data quality and master data management Understanding data related security challenges and tooling with specific technologies (eg Databricks) Experience in migrating data and associated systems from on-prem to cloud environments Consulting and collaborative working style creating a culture of accountability and sharing Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus *All salaries are subject to experience* For a full consultation on this role please contact Arc IT or email your CV to Arc IT Recruitment. Arc is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age.
*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 a Principal, Data Architecture. This principal will focus on data architecture and design to support all IT departments throughout the company. These responsibilities include design of data lakes, data warehouses, data messaging, data modelling, data science, etc. The company wants someone with 10+ years of data architect/engineering/DBA work experience. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Qualifications: 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead Bachelor's degree or higher in a technical field Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC Experience in solution integration and operability. Experience working with Infrastructure Technologies and Teams. Experience using Service-now or similar
01/05/2024
Full time
*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 a Principal, Data Architecture. This principal will focus on data architecture and design to support all IT departments throughout the company. These responsibilities include design of data lakes, data warehouses, data messaging, data modelling, data science, etc. The company wants someone with 10+ years of data architect/engineering/DBA work experience. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Qualifications: 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead Bachelor's degree or higher in a technical field Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC Experience in solution integration and operability. Experience working with Infrastructure Technologies and Teams. Experience using Service-now or similar
*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 a Principal, Data Architecture. This principal will focus on data architecture and design to support all IT departments throughout the company. These responsibilities include design of data lakes, data warehouses, data messaging, data modelling, data science, etc. The company wants someone with 10+ years of data architect/engineering/DBA work experience. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Qualifications: 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead Bachelor's degree or higher in a technical field Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC Experience in solution integration and operability. Experience working with Infrastructure Technologies and Teams. Experience using Service-now or similar
01/05/2024
Full time
*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 a Principal, Data Architecture. This principal will focus on data architecture and design to support all IT departments throughout the company. These responsibilities include design of data lakes, data warehouses, data messaging, data modelling, data science, etc. The company wants someone with 10+ years of data architect/engineering/DBA work experience. Responsibilities: Design the data architecture of organization to support data driven vision Create design and blueprint of the data capabilities for the organization within the data framework Analyze structural requirements for new solutions and applications Optimize new and current database systems Responsible for requirements-based analysis and selection of data tools Responsible for setting up and enforcement of Data Modeling standards Responsible for creating logical and conceptual data models Ensure that data architecture principles are adhered to across the enterprise Assist in building data taxonomy and aligning it with business processes Work with Data Governance, IT, and data stewards on design of the strategic solution to data quality issues Communicates and validates program architecture with infrastructure, project management and technology services teams. Conducts end to end technical plan design. Develop enterprise standards to ensure compatibility and integration of platforms in a multi-vendor platform environment. Design and develop infrastructure and solution documentation and blueprints. Develops specifications for solutions integrations. Maintain documentation library on standard procedures and approved solution configurations. Qualifications: 10+ years of progressive experience leading to a Senior-level Data Architect, Data Engineer, DBA, consultant, technical lead Bachelor's degree or higher in a technical field Experience in design of data lake/warehouse solutions, preferably in the cloud Experience in schema design for relational and non-relational data and messaging protocols Experience in design of data science and data analytics solutions Experience with Kafka and Protocol Buffers Expertise in both SQL and No SQL databases Expertise with BI tools (Tableau, Power BI etc) Expertise with federated query tools such as Presto/Trino Experience with data lake file formats such as Avro, Parquet, ORC Experience in solution integration and operability. Experience working with Infrastructure Technologies and Teams. Experience using Service-now or similar