Senior Data Engineer I

About your team

• ISS Data Engineering Chapter is an engineering group comprised of three sub-chapters - Data Engineers, Data Platform and Data Visualisation that supports the ISS Department
• Fidelity is embarking on several strategic programmes of work that will create a data platform to support the next evolutionary stage of our Investment Process
• These programmes span across asset classes and include Portfolio and Risk Management, Fundamental and Quantitative Research and Trading
• About your role This role sits within the ISS Data Engineering
• The Data Engineering team is responsible for building and maintaining the data applications and platform that enables the ISS business to operate
• This role is appropriate for a senior data engineer capable of taking ownership and a delivering a subsection of the wider data platform or data applications
• As a Senior Data Engineer, you will directly contribute to our key organizational objectives of Accelerated Innovation, Cost Optimization, Risk Mitigation, and Business EnablementKey Responsibilities Implement and maintain data pipelines for ingestion,
• transformation, and delivery Ensure data quality through validation and monitoring processes Collaborate with senior engineers to design scalable data solutions Work with business analysts to understand and implement data requirements Optimize data models and queries for performance and efficiency Follow engineering best practices and contribute to team standards Participate in code reviews and knowledge sharing activities Implement data security controls and access policies Troubleshoot and resolve data pipeline issues

About you

• Core Technical Skills Cloud Platforms: Proficient with cloud-based data platforms (Snowflake, data lakehouse architecture) AWS Ecosystem: Strong knowledge of AWS services including Lambda, Glue, and S3 Streaming Architecture:
• Understanding of event-based or streaming data concepts using Kafka Programming: Strong proficiency in Python and SQL DevOps: Experience with CI/CD pipelines and infrastructure as code (Terraform) Data Security:
• Knowledge of implementing basic data access controls Database Systems: Experience with RDBMS (Oracle, Postgres, MSSQL) and exposure to NoSQL databases Data Integration: Understanding of data integration patterns and techniques Orchestration: Experience using workflow tools (Airflow, Control-M, etc )
• Engineering Practices: Experience with GitHub, code verification, and validation Domain Knowledge:
• Basic knowledge of investment management industry conceptsBonus technical Skills: Understanding of containerization concepts Exposure to API development using Python-based frameworks Basic familiarity with Asset Management data domains
• Key Soft Skills: Problem-Solving: Strong analytical skills and ability to troubleshoot technical issues Communication: Effective communication with team members and stakeholders Collaboration: Ability to work effectively in cross-functional teamsFeel rewardedFor starters, well offer you a comprehensive benefits package