About ZigZag Global

If you’ve made an online return with Zara, Selfridges or Boohoo there’s a good chance you’ve already been introduced to our award-winning SaaS platform. We’re an eCommerce returns business, that has been on a mission to build the best retail returns and post-purchase solution since 2015. Today, more than 100 companies across 130 countries use the ZigZag platform to help reduce the cost, friction, and impact of returns.

We’re passionate about streamlining the returns and post-purchase experience for our clients and their customers. Helping our clients to become more sustainable and profitable in the process.

In March 2021, ZigZag was acquired by Global Blue, an industry leader in tax free shopping. Strengthening our reach across the global retail industry and allowing us to continue to do what we do best, help retailers manage and re-sell their returns.

We believe we have the chance to genuinely challenge and disrupt the industry, so come and join the ambitious and caring team hell bent on building the world’s most innovative, and helpful returns experience possible.

About the Data Engineering Team

The Data Engineering team’s mission is to ensure that the right data and modelling is available to the right people, so that we can leverage data to best serve our clients, customers and grow to be a truly data driven organisation. This means that we collaborate with other teams to capture their data requirements and find the best way to make that data available, on a secure, stable, single-source of truth that is GDPR compliant. The goal is to enable other teams to leverage the data through reporting, analytics, ad-hoc queries, and machine learning.

Our Data Engineering team will contribute to the mission by building scalable and resilient systems that automate data flows and pipelines that support the productionising of models and machine learning models for batch and live inference.

What you’ll be doing

• Work as part of a multi-disciplinary team to scale our data platform that enables fellow teams to leverage our data and technology via reports, insights, and algorithms to make the returns experience effortless and more sustainable
• Work across ELT (extract, load, transform), with ownership of our key data modelling pipelines (transforms)
• Work collaboratively with Data Scientists, Analysts and our Visualisation Team to understand their requirements, providing them with clean transformed data because of your work
• Be responsible for the governance of data access, ensuring the right people have the right access at the right time
• Collaborate with our data insights team to support on growing out BI and insights capabilities
• Take ownership in the trust of Zigzag’s data. Understanding that the integrity, presence and quality of this data creates confidence in the platform and all of the insights generated from it
• Work with our data science team (coming soon) to refine and maintain a machine learning platform, with a large focus on machine learning operations tooling
• Enjoy excellent career development opportunities backed by individual objectives and our new career growth framework
• Opportunity to work in new areas (e.g. Data Science)
• Contribute to our team’s technical direction and overall data strategy.

What you’ll need to be successful

• An excellent understanding of SQL and data modelling is second nature to you, where you are comfortable across data warehousing concepts
• Have experience leveraging the power of cloud based big data systems such as Databricks or Snowflake.
• Be able to contribute to our team’s technical direction and strategy, ensuring we are always building the right thing in the right way with data governance and data management principles in mind
• You take ownership of code, the infrastructure it sits on, the CI/CD pipelines that test and deploy it, and the production systems that monitor it. Note - we will also have a QA
• You will collaborative effectively, enjoy sharing knowledge and can work with stakeholders across the organization, including our Head of Data and Insights, Tech, Finance, BI and Product teams
• Have some exposure to Python or similar languages
• Have some experience working with front end technologies (Tableau, PowerBI)
• Have some familiarity with ML operations and tooling.
• Excellent spoken and written English.
• We work using agile practices - Scrum, Kanban, Azure DevOps, iterative development, etc.
• We look to use the most up to date technologies, with our current stack using Fivetran, dbt and Databricks
• Learning and Development time is baked in, we want you to grow your skill set with us.

• 22 days holiday + bank holidays
• €7.63 / day meal vouchers.
• Access to learning platforms
• 10% L&D time
• Flexible work options – fully remote or hybrid options – depending on office location
• Flexible working hours – to provide work life balance
• Travel opportunities to our London and Bulgarian offices for events and meet-ups

You’ll join a brilliantly diverse group across Europe. We believe a business is strongest when its teams are both inclusive and diverse. We recognise and aim to challenge everyday biases, remove obstacles to inclusion and ensure all our people can thrive and be themselves.