Data Engineer

ZigZag Global; Portugal; Teletrabalho; EUR 40 000 - 65 000; Tempo integral

Resumo da oferta

A leading eCommerce returns company is seeking a Data Engineer at Associate Level to join their remote team in Portugal. The role involves developing scalable data solutions and collaborating with various teams. Ideal candidates should have strong SQL skills, cloud technology experience, and the ability to manage data governance. This position offers excellent growth opportunities and a supportive work environment.

Serviços

22 days annual leave + Bank Holidays

Additional healthcare insurance

Meal card - Edenred

Summer working hours

Collaborative working environment

Learning and Development budget

Employee referral bonus scheme

Qualificações

• Excellent understanding of SQL and data modelling.
• Experience with Databricks or Snowflake.
• Understanding of SQL Server and Azure Data Factory.
• Ability to contribute to team technical direction and strategy.
• Ownership of code and CI/CD pipelines.
• Collaborative skills with stakeholders.
• Exposure to Python or similar languages.
• Experience with NoSQL databases and front-end technologies.

Responsabilidades

• Work in a multi-disciplinary team to scale the data platform.
• Responsible for key data modelling pipelines.
• Collaborate with Data Scientists and Analysts.
• Govern data access and ensure quality.
• Support on growing BI and insights capabilities.
• Manage both new and legacy systems.

Conhecimentos

SQL

Data modelling

Cloud based big data systems (Databricks, Snowflake)

Database Management (SQL Server, Azure Data Factory)

Python

NoSQL databases (MongoDB)

Front end technologies (Tableau, PowerBI)

Agile practices (Scrum)

Descrição da oferta de emprego

Overview

Job Title: Data Engineer - Associate Level

Type of employment: Permanent, Full-Time, Remote

Location: This is a remote role based in Portugal. You need to be based in Portugal and have the rights to work without visa sponsorship. We are unable to offer visa sponsorship for this position.

About ZigZag Global

We are Returns! We’re an award-winning eCommerce returns business founded in 2015 by our CEO, Al Gerrie. We live to push boundaries of smarter returns, and we want a thriving retail world where every customer experience is both delightful and considered, everything we buy can be loved and re-loved and preserving our planet is part of the fabric of how we shop.

Today, more than 1100 companies use our SaaS platform across 170 countries to help reduce the cost, friction, and impact of returns. Our leading enterprise retail clients include Zara, The Very Group, New Look, Boden, Selfridges, Sports Direct, The Hut Group, Swarovski, not to forget the White-label partnerships with the world’s biggest logistics businesses like DHL, Evri, and FedEx.

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.

At ZigZag, we embody a set of values that lies at the core of our workplace culture. Our dedication to the Start-up Spirit, Human Heart and Grown-up Mindset defines our collaborative spirit and shapes our collective success.

Passionate and Collaborative Minds Wanted:

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.

If you are passionate about making a positive impact, caring for both colleagues and clients, and embracing a collaborative mindset, we invite you to apply. Join us in building a workplace where every contribution matters, and each team member feels a profound sense of belonging and value.

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
• 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, quality and documentation of this data creates confidence in the platform and all insights generated from it
• Play a hands-on role supporting both new and legacy systems
• 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 and data integrations tools like Airbyte
• Understanding Database Management tools as SQL Server and Azure Data Factory
• 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 exposure to Python or similar languages
• Exposure to NoSQL databases, ideally MongoDB
• Have some experience working with front end technologies (Tableau, PowerBI)
• Excellent spoken and written English.
• We work using agile practices - Scrum, Azure DevOps, iterative development, etc.
• We look to use the most up to date technologies, with our current stack using Airbyte, dbt and Databricks
• Learning and Development time is baked in, we want you to grow your skill set with us.

Nice to have

• Experience with Airflow
• Knowledge of docker
• Data pipeline deployment best practices understanding (CI/CD)
• Have some familiarity with ML operations and tooling
• Experience with Azure Cloud services such as Logic/Power Apps

Benefits

• 22 days annual leave + Bank Holidays + Additional day holiday after every full year of service (up to 5 additional days) plus a bonus day off for your birthday
• Additional healthcare insurance with dental service
• Meal card - Edenred
• Summer working hours
• Working from abroad policy
• Collaborative working environment
• Learning and Development (L&D) budget and allocated time to utilise it.
• Employee referral bonus scheme
• Office Equipment Budget

How to apply

If you are interested, please send your CV in English.

Your application will be reviewed with strict confidentiality. Only the short-listed candidates will be contacted for an interview. Providing your personal data, you explicitly agree that it will be processed for the purpose of recruiting and for the purpose of the possible signing of a labour contract and will be stored and operated by “ZigZag Global” EOOD in their capacity of the personal data controller and personal data processor in accordance with the effective legislation. Please have in mind that with this you give permission for your resume to be shared with other parties of the ZigZag Global Group.