Job Summary The Data Engineer plays an important role in the development of our software solution, used by our clients to help them with their complex data transformation challenges. Our system combines the latest ML based techniques with logic-based transformation, overseen by domain experts, to provide innovative solutions to our clients. This role supports the development of the data system focusing on orchestration, resilience and scaling. Additionally, we aim to provide a framework on which our data transformation modules can be developed by a growing team of junior engineers and technical SMEs. The role may also support the implementation of the systems, including deployment and integration with clients' own data stores, processes and workflows. Team Description Data Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding. You will be based in Llandudno, North Wales in a hybrid setting, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts. Key Responsibilities Plan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels. Contribute to the development of our data platform infrastructure, including orchestration systems, data processing logic and interactions between system components. Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering. Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc. Influence our choice of architecture and technology. Communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders. Apply best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL), minimizing technical debt and optimizing performance where it matters. Partner with data analysts, data scientists, and other end users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs. Share work and best practices; collaborate with others; ensure alignment to company growth ambitions. Qualifications and Experience Essential experience developing data integrations with geoscience or other scientific data types, particularly in oil and gas and/or mining domains. Previous experience designing, building and maintaining data transformations in a system or product setting. Ability to write secure and performant code in Python and SQL, and to optimize queries and data pipelines. Experience using orchestrators and ETL tools, especially Airflow. Significant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or vector. Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture). Experience with Docker, VCS (git, Gitlab) and knowledge of CI/CD. Enthusiastic attitude towards learning and ability to adapt to new challenges or changes in direction. Preferred: Knowledge of DevOps and DataOps best practices. Preferred: Kubernetes deployment experience. Preferred: Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks. RESTful API / GraphQL. Infrastructure as Code. Previous experience building web applications with wide-ranging knowledge of web frameworks, HTTP, networking, security etc. Why work with us? Competitive salary commensurate with experience. Highly attractive bonus scheme. Hybrid model and flexible working with up to 2 days at home. Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program. Company pension with generous employer contribution. Wellbeing - Unmind app - puts you in control of your mental health. A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year. Cycle purchase scheme. Flexible Private Medical & Dental care programmes. Bank Holiday Swap - change a holiday for another day of your choice. Relaxed dress code policy. Equal Employment Opportunity We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals. Create a brighter future for yourself while taking on some of the world's most complex geoscience challenges.
30/05/2026
Full time
Job Summary The Data Engineer plays an important role in the development of our software solution, used by our clients to help them with their complex data transformation challenges. Our system combines the latest ML based techniques with logic-based transformation, overseen by domain experts, to provide innovative solutions to our clients. This role supports the development of the data system focusing on orchestration, resilience and scaling. Additionally, we aim to provide a framework on which our data transformation modules can be developed by a growing team of junior engineers and technical SMEs. The role may also support the implementation of the systems, including deployment and integration with clients' own data stores, processes and workflows. Team Description Data Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients' data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding. You will be based in Llandudno, North Wales in a hybrid setting, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts. Key Responsibilities Plan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels. Contribute to the development of our data platform infrastructure, including orchestration systems, data processing logic and interactions between system components. Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering. Build and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc. Influence our choice of architecture and technology. Communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders. Apply best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL), minimizing technical debt and optimizing performance where it matters. Partner with data analysts, data scientists, and other end users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs. Share work and best practices; collaborate with others; ensure alignment to company growth ambitions. Qualifications and Experience Essential experience developing data integrations with geoscience or other scientific data types, particularly in oil and gas and/or mining domains. Previous experience designing, building and maintaining data transformations in a system or product setting. Ability to write secure and performant code in Python and SQL, and to optimize queries and data pipelines. Experience using orchestrators and ETL tools, especially Airflow. Significant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or vector. Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture). Experience with Docker, VCS (git, Gitlab) and knowledge of CI/CD. Enthusiastic attitude towards learning and ability to adapt to new challenges or changes in direction. Preferred: Knowledge of DevOps and DataOps best practices. Preferred: Kubernetes deployment experience. Preferred: Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks. RESTful API / GraphQL. Infrastructure as Code. Previous experience building web applications with wide-ranging knowledge of web frameworks, HTTP, networking, security etc. Why work with us? Competitive salary commensurate with experience. Highly attractive bonus scheme. Hybrid model and flexible working with up to 2 days at home. Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program. Company pension with generous employer contribution. Wellbeing - Unmind app - puts you in control of your mental health. A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year. Cycle purchase scheme. Flexible Private Medical & Dental care programmes. Bank Holiday Swap - change a holiday for another day of your choice. Relaxed dress code policy. Equal Employment Opportunity We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals. Create a brighter future for yourself while taking on some of the world's most complex geoscience challenges.
Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. The Data Hub team develops technology solutions that transform data across industries such as geothermal, environmental, hydrocarbon, and mineral exploration. You will work in an open, collaborative environment and have opportunities for growth. Location and Work Style Based in North Wales or Crawley, hybrid or remote options are considered. You will collaborate with architects, software engineers, machine learning engineers, data engineers, and subject matter experts. Role Summary The DevOps Engineer designs, builds, and maintains the infrastructure and tools that enable efficient software delivery of machine learning driven data transformation systems. The role supports on premise (Viridien HPC or client data centres) and public cloud deployments, keeping solutions platform agnostic and scalable. Key Responsibilities Develop a deep understanding of the data system software stack and design, build, improve, and support the infrastructure (IaC) and CI/CD pipelines. Build and support deployment of software components to Kubernetes. Design solutions with performance, scalability, and cost efficiency in mind. Collaborate with the cloud team to support Azure deployments, managed within the Data Hub team. Act as interface between the software development team and infrastructure teams (Viridien HPC, cloud team, customer IT) to diagnose and resolve issues. Develop and enhance observability tooling across environments for robust solutions. Share and promote software best practices using DevOps tools and processes, including standardizing documentation, auditing, and review. Collaborate with DevOps and software best practice owners and external suppliers to drive cross company improvements. Perform other general development and software maintenance tasks as required. Qualifications Familiarity with GitOps principles (Argo CD) and hands on experience building CI/CD pipelines (GitLab CI, Jenkins). Experience with infrastructure as code tools (Terraform, Ansible). Solid understanding of containerization (Docker). Experience scanning images for vulnerabilities and optimizing image size and build times. Solid knowledge of Kubernetes and management of multiple clusters and deployments. Understanding of deployment strategies (canary, blue/green, rolling). Experience with templating tools such as Helm or Kustomize. Proven record of managing cloud based projects. Experience with observability tools (Prometheus, etc.). Comfortable with Python projects, shell scripting, Linux administration (Debian/Alpine). Familiarity with modern deployment strategies. Preferred Qualifications Relevant technical certifications (CKA, AZ 900 minimum). Experience with OpenShift, OpenStack. Experience in MLOps (deployment and managing model versions). Employment Practices We value diversity and are committed to equal employment opportunities for all professionals.
30/05/2026
Full time
Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. The Data Hub team develops technology solutions that transform data across industries such as geothermal, environmental, hydrocarbon, and mineral exploration. You will work in an open, collaborative environment and have opportunities for growth. Location and Work Style Based in North Wales or Crawley, hybrid or remote options are considered. You will collaborate with architects, software engineers, machine learning engineers, data engineers, and subject matter experts. Role Summary The DevOps Engineer designs, builds, and maintains the infrastructure and tools that enable efficient software delivery of machine learning driven data transformation systems. The role supports on premise (Viridien HPC or client data centres) and public cloud deployments, keeping solutions platform agnostic and scalable. Key Responsibilities Develop a deep understanding of the data system software stack and design, build, improve, and support the infrastructure (IaC) and CI/CD pipelines. Build and support deployment of software components to Kubernetes. Design solutions with performance, scalability, and cost efficiency in mind. Collaborate with the cloud team to support Azure deployments, managed within the Data Hub team. Act as interface between the software development team and infrastructure teams (Viridien HPC, cloud team, customer IT) to diagnose and resolve issues. Develop and enhance observability tooling across environments for robust solutions. Share and promote software best practices using DevOps tools and processes, including standardizing documentation, auditing, and review. Collaborate with DevOps and software best practice owners and external suppliers to drive cross company improvements. Perform other general development and software maintenance tasks as required. Qualifications Familiarity with GitOps principles (Argo CD) and hands on experience building CI/CD pipelines (GitLab CI, Jenkins). Experience with infrastructure as code tools (Terraform, Ansible). Solid understanding of containerization (Docker). Experience scanning images for vulnerabilities and optimizing image size and build times. Solid knowledge of Kubernetes and management of multiple clusters and deployments. Understanding of deployment strategies (canary, blue/green, rolling). Experience with templating tools such as Helm or Kustomize. Proven record of managing cloud based projects. Experience with observability tools (Prometheus, etc.). Comfortable with Python projects, shell scripting, Linux administration (Debian/Alpine). Familiarity with modern deployment strategies. Preferred Qualifications Relevant technical certifications (CKA, AZ 900 minimum). Experience with OpenShift, OpenStack. Experience in MLOps (deployment and managing model versions). Employment Practices We value diversity and are committed to equal employment opportunities for all professionals.
Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. We are seeking a Data Scientist to play a central role in transforming raw data into structured, reliable, and scalable datasets within our Data Hub environment. Key Responsibilities Develop systematic data transformation modules to gather, clean, validate, and structure raw datasets. Collaborate closely with Subject Matter Experts (SMEs) and the labeling team, building a solid understanding of domain knowledge and requirements. Support SMEs and the labeling team by providing tools, solutions, and continuous technical feedback to improve annotation workflows. Build scalable, reusable data processing solutions and maintain version control using GitLab. Troubleshoot and diagnose data issues, proactively flagging inconsistencies or risks. Maintain a deep understanding of the Data Hub technology stack and data schemas, staying current with emerging technologies, models, and research. Contribute to broader initiatives related to data integration, feature design, and machine learning. Design and run experiments, iterate based on results, and document and share learnings with the team. Use pre trained ML models, and train or fine tune models on internal datasets with proper evaluation and validation. Communicate regularly with team members, the team lead, and cross functional partners in production and technology to ensure alignment and transparency. Performance Metrics Delivers high quality work on time. Quickly learns and applies new tools, technologies, and concepts. Demonstrates strong understanding of Data Hub systems and workflows. Qualifications & Skills Background in data science or a related field (Master's degree preferred). Proficient in at least one programming language-ideally Python-with experience in common ML libraries. Experience with hybrid ML workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs). Comfortable working with relational, NoSQL, and graph databases. Strong data processing skills, including cleaning, filtering, and feature extraction. Clear communicator with strong collaboration and presentation skills. Why Work with Us? Competitive salary commensurate with experience. Highly attractive bonus scheme. Hybrid model and flexible working with up to 2 days at home. Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program. Company pension with generous employer contribution. Wellbeing Unmind app - puts you in control of your mental health. A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year. Cycle purchase scheme.Flexible Private Medical & Dental care programmes. Sponsorship of visas/comprehensive relocation packages. Bank Holiday Swap - allows you to change it for another day of your choice. Relaxed dress code policy. EEO & Diversity Statement Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.
30/05/2026
Full time
Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. We are seeking a Data Scientist to play a central role in transforming raw data into structured, reliable, and scalable datasets within our Data Hub environment. Key Responsibilities Develop systematic data transformation modules to gather, clean, validate, and structure raw datasets. Collaborate closely with Subject Matter Experts (SMEs) and the labeling team, building a solid understanding of domain knowledge and requirements. Support SMEs and the labeling team by providing tools, solutions, and continuous technical feedback to improve annotation workflows. Build scalable, reusable data processing solutions and maintain version control using GitLab. Troubleshoot and diagnose data issues, proactively flagging inconsistencies or risks. Maintain a deep understanding of the Data Hub technology stack and data schemas, staying current with emerging technologies, models, and research. Contribute to broader initiatives related to data integration, feature design, and machine learning. Design and run experiments, iterate based on results, and document and share learnings with the team. Use pre trained ML models, and train or fine tune models on internal datasets with proper evaluation and validation. Communicate regularly with team members, the team lead, and cross functional partners in production and technology to ensure alignment and transparency. Performance Metrics Delivers high quality work on time. Quickly learns and applies new tools, technologies, and concepts. Demonstrates strong understanding of Data Hub systems and workflows. Qualifications & Skills Background in data science or a related field (Master's degree preferred). Proficient in at least one programming language-ideally Python-with experience in common ML libraries. Experience with hybrid ML workflows (traditional ML, LLMs, embeddings, ontologies, knowledge graphs). Comfortable working with relational, NoSQL, and graph databases. Strong data processing skills, including cleaning, filtering, and feature extraction. Clear communicator with strong collaboration and presentation skills. Why Work with Us? Competitive salary commensurate with experience. Highly attractive bonus scheme. Hybrid model and flexible working with up to 2 days at home. Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program. Company pension with generous employer contribution. Wellbeing Unmind app - puts you in control of your mental health. A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more! Regular social club events, spontaneous reward events throughout the year. Cycle purchase scheme.Flexible Private Medical & Dental care programmes. Sponsorship of visas/comprehensive relocation packages. Bank Holiday Swap - allows you to change it for another day of your choice. Relaxed dress code policy. EEO & Diversity Statement Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.