Data Engineer

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

We’re looking for a Data Engineer to join a fast-growing UK startup that’s reshaping how the hospitality industry manages staffing and operations through a data‑driven platform. You’ll play a key role in building the data foundations that power both internal decision‑making and customer‑facing products.

The role

You’ll combine data engineering, analytics, visualisation and infrastructure to make high‑quality data accessible across the business.

You will:

• Build and maintain scalable data pipelines feeding mobile and web apps, plus internal dashboards.
• Design and implement data architecture to optimise storage, retrieval and processing.
• Develop ETL processes to ingest, transform and load data from multiple sources, especially APIs.
• Work closely with data scientists and software engineers to understand data needs for product features.
• Partner with operations and commercial stakeholders to shape data requirements for reporting and decision‑making.
• Create and maintain data documentation, monitor pipeline performance and troubleshoot issues.

What you’ll bring

• 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, ideally with experience of frameworks such as Airflow, TensorFlow or Spark.
• Willingness to build basic–intermediate backend skills (e.g. Python/Django) to support data integrations.
• Familiarity with data versioning, data quality management, build/deployment automation and CI/CD.

Nice to have:

• Experience building and maintaining data pipelines in production.
• Exposure to data lakes, data warehousing and modern data storage patterns.
• Experience with cloud platforms (AWS/Azure) and tools like Apache Airflow, Terraform or SageMaker.