Data Engineer: Build Scalable Pipelines & Dashboards

SearchWorks; Greater London; On-site; GBP 40,000 - 70,000; Full time

Job summary

A fast-growing startup in the UK is seeking a Data Engineer to help reshape the hospitality industry through a data-driven platform. You will be responsible for building scalable data pipelines, designing data architecture, and collaborating with data scientists and stakeholders. The ideal candidate should have strong problem-solving skills, proficiency in Python and SQL, and familiarity with data management practices. Experience with cloud platforms and data tools is a plus.

Qualifications

• Strong problem-solving skills shown through academic or professional work.
• Solid foundations in data architecture, data engineering best practices and scalable data solutions.
• Good understanding of data modelling, database design and normalisation.
• Proficiency in Python and SQL with experience in related frameworks.
• Willingness to build basic–intermediate backend skills for data integrations.
• Familiarity with data versioning, data quality management and CI/CD.

Responsibilities

• Build and maintain scalable data pipelines for mobile, web apps, and dashboards.
• Design and implement data architecture for optimising storage and processing.
• Develop ETL processes for data ingestion and transformation from multiple sources.
• Collaborate with data scientists and engineers to meet data needs.
• Partner with stakeholders to shape data requirements for reporting.
• Create and maintain data documentation, monitor pipeline performance.

Skills

Problem-solving skills

Data architecture

Data engineering best practices

Data modelling

Python

SQL

Tools

Airflow

TensorFlow

Spark

AWS

Azure

Terraform

Job description

A fast-growing startup in the UK is seeking a Data Engineer to help reshape the hospitality industry through a data-driven platform. You will be responsible for building scalable data pipelines, designing data architecture, and collaborating with data scientists and stakeholders. The ideal candidate should have strong problem-solving skills, proficiency in Python and SQL, and familiarity with data management practices. Experience with cloud platforms and data tools is a plus.