Purpose of Role
This role will be responsible for designing, developing, and maintaining data pipelines, scalable data models, and data integration solutions that support the organisation’s reporting, analytics, and automation needs. The post-holder will develop data pipelines utilising low‑code / visual ETL tools and Python where appropriate. They will be responsible for designing and implementing data models and structures suitable for a data warehouse or lakehouse environment, ensuring consistency, performance, and scalability. The post-holder will own the full project lifecycle including design, build, testing, deployment, and operational support, working independently to deliver robust and reliable data solutions.
Responsibilities
* Design, build, and optimise data pipelines using the organisations unified data platform e.g. Microsoft Fabric, Databricks.
* Develop ETL/ELT workflows using low‑code or visual‑first tooling and code‑based pipelines (SQL, Python, PySpark) where necessary.
* Implement and maintain automated data ingestion, transformation, and orchestration processes, ensuring performance, reliability, and scalability.
* Integrate pipelines with internal systems, APIs, third‑party applications, and cloud services using connectors or custom integrations.
* Apply appropriate testing approaches including data quality rules, schema validation, unit tests, and automated validation checks.
* Implement and manage CI/CD processes for data engineering solutions, using Azure DevOps, Git‑based workflows, and infrastructure‑as‑code tools (ARM/Bicep/Terraform).
* Design and develop scalable data warehouse and lakehouse models, including dimensional models (star/snowflake), medallion architectures, and semantic layers.
* Ensure data models support analytics, reporting, machine learning, and operational decision‑making across the organisation.
* Create and maintain data dictionaries, metadata, and lineage documentation to support transparency, governance, and maintainability.
* Optimise data storage and query performance through effective partitioning, indexing, and schema design.
Documentation & Project Management
* Maintain accurate documentation covering data pipelines, models, transformations, architecture, and process.
* Manage project timelines and deliverables to ensure solutions are completed on schedule.
* Provide clear updates and reports regarding progress, risks, and ongoing support needs.
* Participate in Agile delivery practices (SCRUM/Kaban), including stand‑ups, sprint planning, or Kanban activity management.
Our Values
We are caring – “We trust and care for each other, our guests and our environment”.
We are positive – “We live and share a positive attitude”.
We are real – “We are always ourselves and respect others”.
We are a team – “We are more than a team; we are a family”.
Fred. Olsen Cruise Lines offer a wide range of benefits including BUPA medical, Life Assurance, enhanced maternity and paternity pay, discounted holidays and cruises, plus retail discounts and cash back incentives through our Boost Benefits scheme.
As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.
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