Data Engineer

Moto Hospitality; Toddington; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading motorway service company in the UK is looking for a Data Engineer to build, optimise, and maintain data applications and systems. The ideal candidate will have strong proficiency in Python, SQL skills, and experience working with large datasets. This role offers flexible working arrangements, a competitive benefits package, and the opportunity to work within a growing data team across various projects.

Benefits

Up to 10% bonus

25 days holiday

Up to 60% discount for family and friends

Enhanced benefits including maternity, paternity, and pension

Fabulous training and development opportunities

Qualifications

• Strong proficiency in Python is essential for data processing.
• Experience with SQL Server and Snowflake for managing databases.
• Ability to work with large datasets and ETL processes.

Responsibilities

• Develop and maintain data pipelines and ETL processes.
• Collaborate with teams to understand data requirements.
• Ensure data quality and integrity.
• Optimise data workflows.
• Implement best practices for data engineering.

Skills

Strong proficiency in Python

SQL skills (SQL Server and Snowflake)

Experience with large databases

Familiarity with XML and JSON

Experience with REST APIs

Knowledge of data warehouse design

Experience with cloud platforms (Azure or GCP)

Familiarity with git-based source control

Job description

Hybrid - 2 days in ourToddington office

Application Deadline

Dynamic and fast paced, Moto is ideal for individuals who are looking for a career which provides maximum opportunities. If you have energy, passion for quality and a real desire to deliver exceptional results you will do well here.

We’re Moto, we’re the future of motorway rest stops, and we want you to be part of that future.

As a Data Engineer you will be able to build, optimise and maintain data applications, systems and services. This role combines the discipline of software engineering with the knowledge and experience of building data solutions in order to deliver business value.

You will be based in a growing technology team that has significant investment and is modernising the entire technology landscape within Moto. The goal is to add value to the organisation by providing solutions that make business processes simpler and more efficient through technology.

You will work as part of a growing data team across multiple projects. Working with some of the UK biggest retail, hospitality and catering brands, this role is instrumental in both integrating Moto’s systems and enabling insight and analytics across Moto.

• Up to 10% bonus
• 25 days holiday
• Up to 60% discount for you, your partner as well as your family and friends
• Enhanced benefits, including maternity, paternity, pension, sick pay and life assurance
• Fabulous training and development opportunities including funding qualifications

Responsibilities

• Develop and maintain data pipelines and ETL processes.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality and integrity.
• Optimise and troubleshoot data workflows.
• Implement best practices for data engineering and software development.

As our Data Engineer, you will have experience of:

• • Strong proficiency in Python
• SQL skills (we use SQL Server in our legacy environment and Snowflake in the cloud)
• Experience working with large databases, transactional datasets, and data warehouses with batch data processing jobs
• Familiarity with XML and JSON data structures, as well as CSV file integration
• Experience getting data from (REST) APIs
• Knowledge of data warehouse design (dimensional modelling, star schema, kimball)
• Experience with cloud platforms (Azure or GCP).
• Familiarity with git-based source control

Are you aengineer at heart and enjoy the challenge of building reliable, efficient data applications, systems, services, and platforms? If so we want to hear from you!APPLY NOW!

We offer flexible working arrangements, including full or part time hours, as well as wherever we can compress or a fixed shift pattern to support your work life balance.

London EC2R 7HJ, Salford M50 3SP, Staines TW18 3DZ