
Data Engineer
7 days ago
We are seeking Data Engineer with a passion for working with data and engineering with a key focus on Finance related data. This role will start with a finance focus including a 6-month attachment to the Finance department for immersion of finance domain knowledge and thereafter return to the Data Engineering team within the Data & Analytics team. The key focus is to work on Finance related use cases but is not limited to this.
During the attachment with the Finance department, you will produce regular reports and perform analysis using financial data for a leadership review, and work collaboratively across the entire finance team to analyse business performance and strategy. Upon returning to the data engineering team, you will be focusing on working on data engineering for finance-related data with a secondary focus on market (securities/derivatives) related data and the adoption of cloud setup as part of the ETL pipeline.
**Responsibilities**
- Design, build and deploy data solutions that can handle the needs of the data products and users across the organization.
- Build scalable and reliable ETL pipelines and processes to ingest data from multiple sources and create curated layers for users to self-help with the data.
- Design and secure data in different states (e.g. at rest/in transition/on the cloud).
- Work with users closely to understand their needs and propose a viable solution.
- Identify and drive process improvements, including the creation of standard and ad-hoc reports, tools, and dashboards.
- Support enterprise data warehouse including on-prem data warehouse running on KDB+ and modern high-performance native cloud data warehouse (Snowflake).
- Provide support for data-related queries and discrepancies.
- Identify and drive process improvements
- Stay abreast of and analyze industry developments to identify areas for continuous improvements.
- Provide technical coaching and guidance to junior members of the team.
**Requirements**:
- Bachelor's Degree in Computer Science, Computer Engineering or equivalent.
- 2-4 years of relevant working experience in data engineering roles.
- Analytical, passionate about data, and possessing an eye for details.
- Strong troubleshooting skills and ability to react quickly to resolve issues.
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