- Company Name
- Inn Collection Group
- Job Title
- Data Engineer
- Job Description
-
Job Title: Data Engineer
Role Summary:
Design, build, and maintain a scalable Azure-based data warehouse and ETL pipeline that supports business intelligence, financial planning & analysis, and reporting functions. Ensure data quality, availability, and security while collaborating with internal stakeholders and external partners to integrate diverse data sources.
Expactations:
- Report to the Head of IT and work closely with BI and FP&A teams.
- Deliver timely, accurate, and insightful data solutions that enable data‑driven decision making.
- Manage the full data lifecycle, from extraction and transformation to loading and monitoring.
Key Responsibilities:
- Extract data from EPOS, PMS, loyalty and other systems using automated tools.
- Build and maintain a group data warehouse on Azure, including Azure SQL, Data Factory, and related services.
- Design, develop, and deploy ETL processes using SQL, Python, Spark SQL, and other relevant technologies.
- Ensure high data quality, resolve integrity issues, and perform daily monitoring of databases and data sets.
- Implement secure-by-design principles to protect data assets.
- Collaborate with third‑party vendors to understand and integrate company data into the warehouse or reporting database.
- Administer SQL Server databases and oversee database performance, optimization, and maintenance.
- Lead ad‑hoc data projects, such as system migrations, and support the implementation of new data initiatives.
- Keep abreast of emerging technologies and recommend improvements to data infrastructure and processes.
Required Skills:
- Proficiency in SQL, Python, Spark SQL, and ETL tooling.
- Experience with Kimball data warehouse methodologies and BI dataset delivery.
- Strong analytical, problem‑solving, and communication skills.
- Ability to translate business requirements into technical solutions and manage project deliverables.
- Interpersonal skills to collaborate with cross‑functional teams and external partners.
- Knowledge of data cleansing, transformation, and exploration techniques.
Required Education & Certifications:
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Machine Learning, or related field.
- Certifications in Azure Data services (e.g., Azure Data Engineer Associate) or equivalent data analytics credentials are preferred.
Newcastle upon tyne, United kingdom
On site
Junior
18-10-2025