This is your opportunity to join one of the most recognisable names in international financial services. With a presence in over 60 countries, they are one of Europe's biggest employers and have achieved Top Employer Europe certification. This means you'll be joining a responsible, positive, and thriving business that puts well-being and personal development at the top of its agenda. Expectation: 50% on-site & 50% homeworking At least 5 years of relevant experience Master's degree in Computer Science or equivalent work experience Sound knowledge of English as well as at least one local language (Dutch or French) (both are a strong plus). Duties include: As we migrate from on-premise Servers to Domino Datalab, we are looking for someone with experience in navigating constraining environments and identifying solutions with available building blocks. The challenges of the platform are combining data availability, security and traceability in order to build the Data Science platform of tomorrow. As a Product Owner you must take into account the requirements of your stakeholders, your clients (both data scientists, and AI consumers) as well as current and upcoming regulations in order to deliver a working AI platform for both model design and industrialisation. Domino Datalab allows our data scientist to work mostly in a self-service manner, but nevertheless we must propose an industrialization path for their outputs with an integration into the banking ecosystem and it's constraints (integrity, availability, throughput, ) Another key challenge is to make data available to data scientists in a secure and compliant way. Access should be simple, forthcoming and compliant while enabling both data exploration and use case industrialisation scenarios. As a Product Owner, you build the roadmap for the coming year making sure that the Development Team understands both the product and its target vision. With the Development Team's help, you make sure that work is prioritized in consistent Sprints. Design phase and project methodology: Build the product's big picture including its roadmap and translate this picture towards the development team Clarify the need and draft the product's key functional specifications according to the agile methodology Iteration planning and priorities definition to ensure the proper content delivery Defines the priorities and monitors the Product Backlog, thus s/he continuously prioritizes the key business needs Make sure that the different stakeholders become and stay aligned on the product to be delivered Project follow-up and support: Initiate a priority management approach, ensure the product consistency and quality Actively participate in Scrum ceremonies (agile retrospectives, demos, test labs ) Is the decision maker or has the authority to arbitrate on delivered functionalities Conduct Sprints Backlog live adjustments and follow-up Language requirements (Mandatory) Sound knowledge of English as well as at least one local language (Dutch or French) (both are a strong plus). Required experience/knowledge Technical experience: (Mandatory) 5 years working with AI models and their deployment Business experience: (Mandatory) Expertise in agile methodologies (Mandatory) At least 2 years of recent banking/financial services experience Budget Management Project Management Soft skills: Ability to see the overall picture (helicopter view) - strategic thinking Analytical mind - conceptual thinking Negotiation and persuasion skills Structured approach Quality-minded and eye for detail Goal-oriented Open to change Leadership Agile requirements An analyst involved in Agile projects must have the "Agile mindset" which implies: A positive attitude and pragmatism Thirst for knowledge: Agile is about learning and adapting. Knowledge sharing is key to success. The goal of team success: Agile is about the success of the team, no individual success or heroic behaviour. It is more important for the team to succeed than for the individual to have completed his/her tasks. There is no failure, only feedback: Agile is about taking everything as lessons, and adjusting actions based on the feedback, resulting in continuous improvement. Contact Epiphany Hatch via e-mail at (see below) or call
25/04/2024
Project-based
This is your opportunity to join one of the most recognisable names in international financial services. With a presence in over 60 countries, they are one of Europe's biggest employers and have achieved Top Employer Europe certification. This means you'll be joining a responsible, positive, and thriving business that puts well-being and personal development at the top of its agenda. Expectation: 50% on-site & 50% homeworking At least 5 years of relevant experience Master's degree in Computer Science or equivalent work experience Sound knowledge of English as well as at least one local language (Dutch or French) (both are a strong plus). Duties include: As we migrate from on-premise Servers to Domino Datalab, we are looking for someone with experience in navigating constraining environments and identifying solutions with available building blocks. The challenges of the platform are combining data availability, security and traceability in order to build the Data Science platform of tomorrow. As a Product Owner you must take into account the requirements of your stakeholders, your clients (both data scientists, and AI consumers) as well as current and upcoming regulations in order to deliver a working AI platform for both model design and industrialisation. Domino Datalab allows our data scientist to work mostly in a self-service manner, but nevertheless we must propose an industrialization path for their outputs with an integration into the banking ecosystem and it's constraints (integrity, availability, throughput, ) Another key challenge is to make data available to data scientists in a secure and compliant way. Access should be simple, forthcoming and compliant while enabling both data exploration and use case industrialisation scenarios. As a Product Owner, you build the roadmap for the coming year making sure that the Development Team understands both the product and its target vision. With the Development Team's help, you make sure that work is prioritized in consistent Sprints. Design phase and project methodology: Build the product's big picture including its roadmap and translate this picture towards the development team Clarify the need and draft the product's key functional specifications according to the agile methodology Iteration planning and priorities definition to ensure the proper content delivery Defines the priorities and monitors the Product Backlog, thus s/he continuously prioritizes the key business needs Make sure that the different stakeholders become and stay aligned on the product to be delivered Project follow-up and support: Initiate a priority management approach, ensure the product consistency and quality Actively participate in Scrum ceremonies (agile retrospectives, demos, test labs ) Is the decision maker or has the authority to arbitrate on delivered functionalities Conduct Sprints Backlog live adjustments and follow-up Language requirements (Mandatory) Sound knowledge of English as well as at least one local language (Dutch or French) (both are a strong plus). Required experience/knowledge Technical experience: (Mandatory) 5 years working with AI models and their deployment Business experience: (Mandatory) Expertise in agile methodologies (Mandatory) At least 2 years of recent banking/financial services experience Budget Management Project Management Soft skills: Ability to see the overall picture (helicopter view) - strategic thinking Analytical mind - conceptual thinking Negotiation and persuasion skills Structured approach Quality-minded and eye for detail Goal-oriented Open to change Leadership Agile requirements An analyst involved in Agile projects must have the "Agile mindset" which implies: A positive attitude and pragmatism Thirst for knowledge: Agile is about learning and adapting. Knowledge sharing is key to success. The goal of team success: Agile is about the success of the team, no individual success or heroic behaviour. It is more important for the team to succeed than for the individual to have completed his/her tasks. There is no failure, only feedback: Agile is about taking everything as lessons, and adjusting actions based on the feedback, resulting in continuous improvement. Contact Epiphany Hatch via e-mail at (see below) or call
Data Analyst/Data Engineer - Cork, Ireland (Hybrid Working) - Contract TEKsystems is thrilled to offer an exciting opportunity for a Junior data engineer/analyst (2-3 years experience ) to join our dynamic team of software developers and data scientists in the Business Analytics team for one of the world's largest technology companies in the world. Why This Role Is Exciting: Innovative Culture and Collaboration - Our client fosters a creative and collaborative environment. Their visionary leadership, commitment to innovation, and unique culture contribute to employee contentment. Consumer-Centric Approach : Our clients' focus on simplicity and consumer-first attitude sets it apart. In a world filled with complex features and gadgets, our client stands out by prioritising what truly matters. Key Requirements for Success: We are seeking a Data Engineer to support some innovative data pipeline projects working across a broad, modern tech stack. You must have experience working with modern databases such as Snowflake and MySQL and interested in visualization tools such as Tableau and PowerBI. Any skills in Big Data and Process Orchestration are beneficial. Role Details: Location: Cork, Ireland Office Days: 3 days a week 2-3 years experience If you're a Data Analyst/Data Engineer seeking your next opportunity, apply directly or reach out Data Analyst/Data Engineer - Cork, Ireland (Hybrid Working) - Contract Job Title: Data Engineer Location: Cork, Ireland Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
25/04/2024
Project-based
Data Analyst/Data Engineer - Cork, Ireland (Hybrid Working) - Contract TEKsystems is thrilled to offer an exciting opportunity for a Junior data engineer/analyst (2-3 years experience ) to join our dynamic team of software developers and data scientists in the Business Analytics team for one of the world's largest technology companies in the world. Why This Role Is Exciting: Innovative Culture and Collaboration - Our client fosters a creative and collaborative environment. Their visionary leadership, commitment to innovation, and unique culture contribute to employee contentment. Consumer-Centric Approach : Our clients' focus on simplicity and consumer-first attitude sets it apart. In a world filled with complex features and gadgets, our client stands out by prioritising what truly matters. Key Requirements for Success: We are seeking a Data Engineer to support some innovative data pipeline projects working across a broad, modern tech stack. You must have experience working with modern databases such as Snowflake and MySQL and interested in visualization tools such as Tableau and PowerBI. Any skills in Big Data and Process Orchestration are beneficial. Role Details: Location: Cork, Ireland Office Days: 3 days a week 2-3 years experience If you're a Data Analyst/Data Engineer seeking your next opportunity, apply directly or reach out Data Analyst/Data Engineer - Cork, Ireland (Hybrid Working) - Contract Job Title: Data Engineer Location: Cork, Ireland Job Type: Contract Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Full stack Node Developer - Perm £80k - Economic Marketing Analytics A Global Marketing Agency a part of the S4 group is looking for a Full-stack Node Developer to take ownership of building a self-service platform to allow customers to utilise their Econometric marketing tools. As a Fullstack developer, your focus is to bring this prototype into production and be responsible for the design, build and implementation of this platform using the latest technologies. Working closely with data scientists and economist modellers, you will influence on how best to integrate these models to ensure the platform is secure, sleek and robust. This role will not have direct-line/managerial responsibilities. Salary: £60,000-£80,000 Location: 1-2x per week in the City of London Requirements: Senior experience and knowledge using Node.JS OR NEXT.JS Must have Front End experience using React or Vue Experience working with cloud technologies such as AWS or GCP Experience with databases such as; MySQL and NO-SQL (MongoDB or Big Query) Preferable experience working with core data libraries in R or Python Must have experience owning or leading a product development. Desirable background in Marketing Analytics If you're interested in an opportunity that offers autonomy to shape and build an economist marketing analytics platform for a well-respected company. Please apply with an up-to-date CV to begin a conversation! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
19/04/2024
Full time
Full stack Node Developer - Perm £80k - Economic Marketing Analytics A Global Marketing Agency a part of the S4 group is looking for a Full-stack Node Developer to take ownership of building a self-service platform to allow customers to utilise their Econometric marketing tools. As a Fullstack developer, your focus is to bring this prototype into production and be responsible for the design, build and implementation of this platform using the latest technologies. Working closely with data scientists and economist modellers, you will influence on how best to integrate these models to ensure the platform is secure, sleek and robust. This role will not have direct-line/managerial responsibilities. Salary: £60,000-£80,000 Location: 1-2x per week in the City of London Requirements: Senior experience and knowledge using Node.JS OR NEXT.JS Must have Front End experience using React or Vue Experience working with cloud technologies such as AWS or GCP Experience with databases such as; MySQL and NO-SQL (MongoDB or Big Query) Preferable experience working with core data libraries in R or Python Must have experience owning or leading a product development. Desirable background in Marketing Analytics If you're interested in an opportunity that offers autonomy to shape and build an economist marketing analytics platform for a well-respected company. Please apply with an up-to-date CV to begin a conversation! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Digital Research Infrastructure Engineer - Linux Specialist PML operations grade 4 £30000 - £45000 DOE Full Time Open Ended Appointment The Role We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science. About You You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these. Skills Required Linux systems administration and monitoring Linux scripting (e.g., bash and Python) Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3. Cybersecurity (Understand and apply best practices) Container technologies (Docker and Kubernetes) High performance Computing (Slurm) Virtualisation (VMWare) Key Deliverables Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed. Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem). Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training. Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services. Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users. About PML As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas. To support PML s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
12/04/2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist PML operations grade 4 £30000 - £45000 DOE Full Time Open Ended Appointment The Role We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science. About You You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these. Skills Required Linux systems administration and monitoring Linux scripting (e.g., bash and Python) Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3. Cybersecurity (Understand and apply best practices) Container technologies (Docker and Kubernetes) High performance Computing (Slurm) Virtualisation (VMWare) Key Deliverables Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed. Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem). Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training. Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services. Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users. About PML As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas. To support PML s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.