Data Platform Engineer
Zeal Group, Vietnam
Job Description
About the Company
Join Zeal Group, the award-winning FinTech Trading Platform and Trading Service provider. Our portfolio of regulated financial institutions and fintech companies is backed by a global team of 700+ professionals with headquarters in the UK and 22 offices worldwide. As a leading online trading provider for FX, commodities, precious metals, and CFD, we facilitate an estimated monthly trading volume of USD 100B by retail investors, traders, and institutions. We offer a dynamic environment for creative minds.
About the team
Our team is focusing on building a state-of-the-art data platform for our company. This platform will centralize, process, and analyze vast amounts of data, empowering all employees with the critical insights they need to drive strategic decision-making.
We are a small but dedicated team of five data engineers and analysts. We are highly skilled professionals, each bringing a unique perspective and set of expertise to the table. We operate in a collaborative, agile environment where every member's contribution is valued.
In our team, we treat data as a product, emphasizing high-quality engineering practices, stringent data quality measures, and robust data governance. We are committed to delivering a scalable and reliable data platform that meets the needs of all stakeholders, utilizing best-in-class data tools to ensure optimal results.
Our mission is to empower every employee with the data they need, thereby driving innovation, improving efficiency, and fostering a data-driven culture within the company.
Responsibilities
- Develop and manage robust data pipelines, ensuring high data quality
- Develop and own the data Infrastructure using IaC and DevOps practices
- Develop and own the data lakehouse system through effective data modeling and data governance
- Develop and maintain real-time data applications (microservices and stream processing systems)
- Develop and maintain CI/CD pipelines for streamlining code integration, testing, and deployment
Requirements
- Experience in Data Engineering (Data Pipelines, ETL, Data Quality, OLAP, Big data frameworks)
- Experience in Infrastructure and DevOps (Cloud infrastructure, Terraform, k8s, Docker, Prometheus)
- Experience in Analytics Engineering (Data Modelling, Data warehouses, Workflow Managers)
- Experience in Backend Engineering (API, Micro-services, OLTP storages, Stream processing)
- Experience with Continuous Integration Tools (Gitlab Ci, Teamcity, Jenkins)
- Experience with Python, SQL
- English B2-C1
Nice to have
- Experience with Google Cloud Platform
- Experience in Business Intelligence (BI tools, Dashboards, Visualizations)
- Experience in Data Analytics (Statistical Analysis, Presentation skills)
- Experience in Machine Learning (ML/DL techniques, Feature engineering, MLOps)
What we offer
- State-of-the-art technologies (Google Cloud Platform, BigQuery, Dagster, DBT, Datahub, Spark, Python, SQL)
- A collaborative and friendly team of professionals
- High engineering standards (with a focus on change management and data quality)
Package
- Compulsory Insurance by Law
- Annual Private Insurance
- Gym and Optical Allowance
- Training Opportunities for Growth
- Flexible and Hybrid Schedule (Work-Life Balance)
- Referral Bonus Program
- Quarterly Employee Engagement Activities