Business Intelligence Engineer

About Us:

Award - The Best FinTech Trading Platform of The Year 2019.

Zeal group of companies (collectively Zeal Group) is a business portfolio of the parent company Zeal Holdings Limited, comprising regulated financial institutions and fintech companies specializing in multi-asset liquidity solutions in regulated markets backed by proprietary technology.

We are a people focused business and our team of 500+ professionals globally are dedicated to maximizing the success of our employees and customers. Headquarter is located in the UK with global presence in 12 countries across Asia, Middle East, & Europe with 22 offices internationally.

The estimated monthly trading volume in an average of USD 100B executed by 100,000 retail investors, professional traders, and financial institution clients.

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.

Requirements

• Experience in Business Intelligence (BI tools, Dashboards, Visualizations)
• Experience in Analytics Engineering (Data Modelling, Data warehouses, Wokflow Managers, DBT)
• Experience in Data Analytics (Statistical Analysis, Presentation skills)
• Experience in Data Engineering (Data Pipelines, ETL, Data Quality, Workflow Managers)
• Experience with SQL, Python

Responsibilities

• Develop and own business intelligence solutions, including BI/data visualization tools, dashboards, and reports to meet business needs
• Collaborate with stakeholders as a data business partner, understanding and defining business requirements for data assets
• Develop and maintain the semantics layers of data analytics platform through effective data modelling and data orchestration
• Ensure data quality and integrity by establishing and enforcing data governance standards
• Create and manage documentation, including technical specifications, data catalog, and other related documents for BI processes, systems, and procedures

Nice to have

• Experience with Google Cloud Platform
• Experience in Machine Learning (ML/DL techniques, Feature engineering, MLOps)
• Experience in OLAP Storages, Big data processing frameworks

• State-of-the-art technologies (Google Cloud Platform, BigQuery, Dagster, DBT, Datahub, Spark, Python, SQL)
• Collaborative and friendly team of professionals
• High engineering standards (with focus on change management and data quality)
• Flexible schedule
• Generous vacation policy

Benefits

• Paid 21 days of holidays per year and 10 additional days for national holiday
• Training opportunities for growth and expansion of knowledge
• Ability to work remotely
• Flexible and hybrid schedule – we value work-life balance
• Referral Bonus Program