Data Engineer-1
Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.
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 one of our hub locations (North Wales or Crawley), hybrid or remote will be considered, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts.
Principal Accountabilities
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. This includes our orchestration systems, data processing logic and the 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. You will be expected to communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders.
Awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). You will have a keen eye for minimising technical debt and optimising 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 your work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth.
Qualifications and Experience
Key Competencies
Experience of developing data integrations with geoscience or other scientific data types.
Experience with geospatially referenced data and experience with oil and gas and/or mining domains highly advantageous
Previous experience of designing, building and maintaining data transformations in a system or product setting.
Ability to write secure and performant code in Python and SQL, and ability to optimise 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 also beneficial
Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).
Experience using docker, VCS (git, Gitlab) and knowledge of CI/CD
Enthusiastic attitude towards learning and the flexibility to adapt to new challenges or changes in direction.
Experience of the following tools / technologies will also be beneficial:
Knowledge of DevOps and DataOps best practices.
Kubernetes deployment experience.
Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks.
RESTful API / GraphQL.
Infrastructure as Code
Previous experience building web applications together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc.
Our Hiring Process
At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.
Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.
We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.
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.
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 one of our hub locations (North Wales or Crawley), hybrid or remote will be considered, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts.
Principal Accountabilities
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. This includes our orchestration systems, data processing logic and the 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. You will be expected to communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders.
Awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). You will have a keen eye for minimising technical debt and optimising 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 your work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth.
Qualifications and Experience
Key Competencies
Experience of developing data integrations with geoscience or other scientific data types.
Experience with geospatially referenced data and experience with oil and gas and/or mining domains highly advantageous
Previous experience of designing, building and maintaining data transformations in a system or product setting.
Ability to write secure and performant code in Python and SQL, and ability to optimise 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 also beneficial
Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).
Experience using docker, VCS (git, Gitlab) and knowledge of CI/CD
Enthusiastic attitude towards learning and the flexibility to adapt to new challenges or changes in direction.
Experience of the following tools / technologies will also be beneficial:
Knowledge of DevOps and DataOps best practices.
Kubernetes deployment experience.
Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks.
RESTful API / GraphQL.
Infrastructure as Code
Previous experience building web applications together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc.
Our Hiring Process
At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.
Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond.
We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.
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.