Data Engineer developing cloud solutions and software tools on Microsoft Azure big data platform. Collaborating with various teams for data analysis and visualization in healthcare.
About the role
- Data Engineer building and managing cloud-based data pipelines for Rightmove’s platform. Collaborate with teams to support analytics and optimize data infrastructure while adhering to best practices.
Responsibilities
- Build and manage data pipelines that ingest, transform, and serve data across the business
- Contribute to the design and implementation of cloud-based infrastructure using Terraform
- Work on complex data challenges, balancing short-term delivery with long-term platform evolution
- Collaborate with data product owners and stakeholders to collect and refine data requirements
- Optimise data storage, infrastructure performance, and cost within our data platform
- Support the analytics data layer by enabling clean, reliable data for downstream use in Looker and BigQuery
- Collaborate with analytics engineers, analysts, and data scientists to support their data use cases
- Contribute to the evolution of our self-serve data platform and the implementation of our data strategy
- Participate in agile ceremonies, including sprint planning, refinement, and retrospectives
- Promote and practice excellent data and cloud engineering best practices, including testing, documentation, and observability
Requirements
- Has 3–5 years of proven experience in data engineering, working on production-grade data pipelines and infrastructure within a large-scale, cloud-based data platform
- Has worked in a complex organisation with a mature or evolving data platform (e.g. BigQuery, Looker)
- Has strong Python coding skills and is confident writing complex SQL queries
- Has demonstratable experience, using Terraform to successfully manage infrastructure as code in a large scale platform
- Has hands-on experience with GCP (BigQuery, GCS, Dataflow, Cloud Composer) or AWS (Redshift, S3, AWS Glue)
- Experience with dbt and understands data modelling principles and best practices
- Deep understanding of data storage, modelling, and orchestration concepts
- Has demonstratable experience setting up and managing data pipelines end-to-end
- Brings a collaborative and curious mindset, and enjoys working in cross-functional teams
- Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved and enjoys contributing to tech events
- Is proactive, communicative, and comfortable contributing to technical discussions and design decisions
- Experience working with version control (Git) and CI/CD practices
- Awareness of data quality, privacy, and security best practices
- Knowledge of GDPR and data security best practices, as well as frameworks for testing, monitoring, and alerting in relation to data pipelines
Benefits
- Cash plan for dental, optical and physio treatments
- Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan
- 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes
- Hybrid working pattern with 2 days in office
- Contributory stakeholder pension
- Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life
- Competitive compensation package
- Paid leave for maternity, paternity, adoption & fertility
- Travel Loans, Bike to Work scheme, Rental Deposit Loan
- Charitable contributions through Payroll Giving and donation matching
- Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more
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