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The Data Tribe is responsible for driving Admiral’s data strategy. We efficiently deliver data pipelines, reports, and analytical capabilities, harnessing innovative techniques and the latest technologies. Our mission is to give more autonomy to our end users in the Business, effectively unlocking insights and driving the success of the company. The Data Engineer will ensure that data solutions are designed and delivered to meet the functional and non-functional demands of the Business and customer. The Data Engineer will be part of a team made up of mixed capabilities, and they should be comfortable working independently as well as part of this diverse team to deliver a shared goal. We aim to create an inclusive and safe environment for Engineers to pursue their own ideas, make their own decisions and empower them to implement and explore them. The role requires the Data Engineer to support what they develop and maybe expected to cover out of hours on-call.
Job Responsibility:
Evaluating and comprehending data and information from diverse sources and producing innovative, high-quality solutions to problems that meet Business requirements and drive forward the department strategy
Complying with engineering, design and testing standards and practices, and with Admiral IT governance and architectural standards while performing in a heavily regulated environment
Acting on core engineering principles and values (accountability, transparency, consistency, quality, re-usability and an automate where possible attitude)
Actively participating in Squad, Chapter and Guild ceremonies and activities
Working as part of a team, being a supportive team member with a positive attitude, engaging with and contributing to company culture and team spirit
Collaboration with all levels of seniority across IT and the wider Business
Being proactive and a self-learner, experimenting and learning from failure, and applying and sharing technical expertise at every opportunity
Being creative, inquisitive, and pushing the boundaries, improving processes at any opportunity
Taking initiative with effective decision making to enable the progression of the department strategy
Being passionate about business intelligence and data
Adapting to changing circumstances and accepting of new ideas and initiatives
Requirements:
Knowledge of cloud specific data architectures and functions
Experience with programming languages such as ANSI SQL, Python, Java, Kotlin, Bash, or equivalents
Knowledge and experience in the use of data technologies such as: BigQuery, Dataflow, Pub/Sub, Cloudfunctions, Kubernetes, Postgres and dbt
Knowledge and experience in using Azure Dev Ops
Knowledge and experience in using Composer/Airflow
Knowledge of using Vertex AI
Knowledge and experience in using helm templates
Knowledge and experience in Scrum development practices
Knowledge and experience in the use of modern engineering tooling such as Git, Terraform, CI/CD
Knowledge and experience with design, development and testing of data pipelines
Nice to have:
Knowledge of using copilot and Claude-code
Knowledge of MicroStrategy, Looker, or similar
Knowledge of Kimball data warehouse models
What we offer:
Everyone receives 33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
You also have the option to buy or sell up to an additional five days of annual leave