Inżynier danych

Salary: £50,000 - 60,000 per year

Requirements

: Strong proficiency in SQL including complex joins, window functions, CTEs, and performance tuning.Hands-on experience with Snowflake including tasks, stages, RBAC, warehouses, and resource monitors.Working knowledge of dbt including models, tests, sources, documentation, and packages.Experience building and maintaining production-grade data pipelines in a cloud environment.Familiarity with at least one scripting language, with Python preferred, for data processing tasks.Understanding of medallion architecture patterns.An effective communicator who can work cross-functionally with technical and non-technical stakeholders.Experience with Azure services including Blob Storage, Data Factory, and DevOps (preferred).Familiarity with BI tools such as Sigma Computing and Power BI, including DAX and Power Query (preferred).Domain knowledge of aviation data such as schedules, fleet, financial, or operational datasets (preferred). Responsibilities: Designing, developing, and maintaining ELT/ETL pipelines using Snowflake, dbt, and SQL to transform raw aviation data into analytics-ready datasets.Building and optimising Snowflake objects including stages, tasks, stored procedures, dynamic tables, and streams.Identifying cost optimisation within warehouse use and query structures.Implementing data quality frameworks, monitoring, and alerting across bronze, silver, and gold data layers.Collaborating with product, data, and commercial teams to translate business

Requirements

into scalable data models.Managing cloud storage integrations including Azure Blob and GCS and orchestrating automated ingestion workflows.Maintaining documentation, version control using Git, and CI/CD processes for all data assets.Playing an active role in future hiring decisions as the team grows. Technologies: AzureCI/CDCloudDAXDevOpsETLGitPower BIPower QueryPythonRBACSQLSnowflakedbtGitHub More: At RDC Aviation, we are a leading provider of aviation data, analytics, and software solutions, empowering airlines, airports, and financial institutions with actionable insights through our innovative data platforms and APIs. This role is a unique opportunity to be a founding driver of our data engineering function, with a focus on helping us develop and optimize our practices.

We offer a flexible hybrid working model, private healthcare, 25 days of holiday plus bank holidays, an auto-enrollment pension scheme, and a supportive work culture focused on your wellbeing. last updated 37 week of 2026