Associate Data Engineer.

About Heidi

Heidi was born to make it easy for more and more people to discover the power of the mountains. We burst onto the ski holiday market in 2018 (formally known as Ski Zoom) and have seen exponential growth.

The company came from a desire to fix the lack of flexibility in the winter ski market.  We help skiers and mountain lovers discover resorts that are hidden gems alongside the classics, and our clever tech is helping them to do it in a way that suits them best. We’re a youthful, challenger brand, with an awesome culture, and we’re shaking up a very traditional ski/mountain holiday industry.

Looking to the future, we have huge ambitions for growth. We have grown year on year and expect 2026 to be our biggest yet. In that time we came 63rd in the Times top 100 fastest growing UK companies, securing £5.6 million investment and just had our most successful season ever in which we were able to hit profitability . Key to that is also growing the Heidi team with even more brilliant people than we have now. So we are looking for someone who will be fundamental to the success of our vision and is excited to help us drive that forward. 

Purpose of the role

Design, build and maintain Heidi's data pipelines and data models so the business has accurate, well-documented data on supply, bookings, finance and customer support.

Key responsibilities

1. Design, build and maintain data pipelines in Google BigQuery and Dataform that clean, transform and model raw supplier, booking and finance data.
2. Write complex SQL transformations and design data models that meet agreed standards for performance and accuracy.
3. Build and maintain automated data validation and testing so data quality issues are caught before they reach the business.
4. Investigate data quality problems, find the root cause in source systems or supplier feeds, and put lasting fixes in place.
5. Gather and analyse data requirements from non-technical stakeholders, and turn them into technical specifications and data models.
6. Deliver analysis and ad hoc data solutions for teams across supply, finance, customer support and trading.
7. Write and maintain technical documentation for pipelines, datasets and data definitions.
8. Contribute to design decisions on the data platform, and review work against engineering standards with the Senior Data Engineer.
9. Spot risks and blockers early and propose practical technical solutions.

Skills and qualifications

• Degree in Computer Science or a related technical subject (RQF level 6 or above)
• Strong SQL and experience building data transformation pipelines
• Working knowledge of a programming or scripting language such as Python or JavaScript
• Experience with cloud data platforms, ideally Google Cloud / BigQuery and Dataform
• Understanding of data modelling, data quality and testing practice
• Able to explain technical concepts clearly to non-technical colleagues
• Curious, honest and takes ownership of work from start to finish

Our employee benefits

• Salary of £38400 based on experience 
• 25 days annual leave + bank holidays + 4 “me/wellbeing” days
• We have a hybrid working policy and are happy for people to balance their working week between the office and home. 
• health insurance.
• Enhanced parental leave for primary /secondary carers and adoptive parents.
• Salary sacrifice pension

Additional employee perks

• £1,000 Heidi holiday credit + additional holiday discounts.
• A fun packed company social calendar including our summer party, end of term conference and budget for team celebrations
• £300 work from home budget

Our Commitment to inclusive hiring

We want to create an inclusive environment that celebrates the diversity of our people whilst enabling them to do the best work of their careers. We are committed to ensuring that all our people processes are equitable. All applicants will be considered for employment without attention to age, sex, ethnicity, religion, sexual orientation, gender identity, family or parental status,national origin, veteran, neurodiversity status or disability status