Junior Data Engineer
ZigZag Global
- Portugal
- Permanente
- Horário completo
- 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.
- 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.
- 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
- 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