Data Engineer
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Job Summary
Key Responsibilities
- Design build and maintain scalable batch and real-time data pipelines.
- Develop and support RESTful and streaming APIs for event-driven data ingestion.
- Manage queuing and streaming systems to enable resilient low-latency processing.
- Design and operate streaming architectures with fault tolerance schema evolution and data quality controls.
- Build and maintain structured and unstructured databases (e.g. SQL Server BigQuery).
- Develop and optimise queries and data models to support analytics and reporting.
- Manage enterprise data warehouses and Lakehouse ensuring data integrity and governance.
- Perform data migration transformation and normalisation across systems.
- Collaborate with cross-functional teams to deliver data solutions that drive business insight.
- Monitor tune and troubleshoot data pipelines and databases continuously improving performance and reliability.
- Support the integration of AI and LLM-driven capabilities into the data platform ensuring data readiness quality and governance for future AI use cases.
Qualifications :
Required Skills & Experience
- Experience as a Data Engineer Data Analyst or similar role.
- Strong database expertise including performance tuning and optimisation.
- Hands-on experience with relational and analytical databases (e.g. MS SQL Server BigQuery).
- Experience building and managing data warehouses data lakes or Lakehouse architectures.
- Solid understanding of ETL pipelines and cloud-based data platforms.
- Experience integrating APIs with data systems.
- Strong Python skills for data engineering automation and transformation.
- Experience working with structured and semi-structured data (e.g. JSON).
- Understanding of data security governance and modern data architecture patterns (e.g. Medallion Kimball).
- Preparing and managing data for AI/LLM applications and machine learning use cases.
Nice to Have
- Experience with Databricks including structured streaming and pipelines.
- Familiarity with delta tables partitioning and performance optimisation.
- Experience with GraphQL for analytics or data access APIs.
- Knowledge of the hospitality or hotel industry particularly booking engines.
- Experience working across complex organisations with multiple stakeholders.
- Experience with Domo BI tool
About You
- A proactive problem solver who enjoys tackling complex data challenges.
- Curious experimental and eager to learn. Whilst comfortable iterating and learning from mistakes.
- Strong communicator able to explain technical concepts to non-technical stakeholders.
- Proven track record of designing building and evolving data warehouses and data lakes.
- Comfortable working in a fast-paced collaborative and evolving environment.
Additional Information :
Whats in it for you:
- 33 days holiday pension and life insurance
- A health cash plan to claim money back and get access to lots of ways to support your physical & mental wellbeing
- Treat yourself with lots of retail & hospitality perks through our partners
- Excellent discounts across the entire Ennismore family for you and your nearest and dearest (even after you leave!)
- Extra time off to volunteer with one of our partner charities
- Cycle to work scheme
- Opportunity to join an innovative fast-growing international hospitality group.
- The chance to help build a modern enterprise-scale data platform from the ground up.
- A creative collaborative and rewarding working environment.
- Be part of a passionate team focused on delivering exceptional hospitality experiences.
- Competitive package with strong opportunities for growth and development.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Innovation. Inspiration. Emotion. We are 330,000+ hospitality Talents perfecting the art of welcome with passion, inspiring and designing new ways of connecting and experiencing the world. People are the heart of everything we do fostering authentic and meaningful connections, and c ... View more
