Senior Data Engineer & Analytics Lead - Pipelines

Small Luxury Hotels of The World Limited; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

Small Luxury Hotels of The World Limited is looking for a Senior Data Engineer/Analyst to enhance its data team. In this role, you will manage existing data pipelines, design new ones, and provide data analysis and visualization for effective decision-making.

There is a strong emphasis on teamwork and collaboration, with responsibilities that include ensuring data quality and integrating data from various sources. Candidates should possess a Bachelor's degree in a relevant field and have 3+ years of experience in data engineering or analytics.

Qualifications

• 3+ years of experience in data engineering, data analytics, or a related role.
• Demonstrable data analysis and pipeline management experience.

Responsibilities

• Manage existing data pipelines to support analytics and data processing needs.
• Design and implement new scalable and robust pipelines.
• Create advanced dashboards, reports, and visualizations for management teams.

Skills

Azure Data Factory

SQL Server

Data visualisation tools (Tableau/PowerBI)

Snowflake

Python or other data focused programming language

Excellent Data Analysis skills

Strong analytical and problem solving skills

Ability to manage multiple tasks

Knowledge of data governance

Travel/hospitality experience

Education

Bachelor’s degree in Computer Science, Data Science, Mathematics or a related field

Job description

Small Luxury Hotels of The World Limited is looking for a Senior Data Engineer/Analyst to enhance its data team. In this role, you will manage existing data pipelines, design new ones, and provide data analysis and visualization for effective decision-making.

There is a strong emphasis on teamwork and collaboration, with responsibilities that include ensuring data quality and integrating data from various sources. Candidates should possess a Bachelor's degree in a relevant field and have 3+ years of experience in data engineering or analytics.