Data Engineer

) for more information.Job SummaryThe 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 DescriptionData 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.Key Responsibilities* 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 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 ExperiencePrevious 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 Significant experience using orchestrators and ETL tools, especially AirflowSignificant RDBMS experience (PostgreSQL, Oracle). Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or Vector also beneficialData 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/CDKnowledge of DevOps and DataOps best practices.Kubernetes deployment experience. Previous experience building web applications together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc.Benefits Package Discounts on nationwide restaurants, cinema tickets and days out through our benefits platformTech, Travel and Fashion discounts all available through our benefits platform Create a brighter future for
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