With Intelligence
A leading provider of data, intelligence and connections to the global asset management industry.
Hedge Funds • Mutual Funds • Private Equity • Asset Management • Traditional Fund Management
201 - 500
Data Engineer
June 29
🔄 Hybrid – London
With Intelligence
A leading provider of data, intelligence and connections to the global asset management industry.
Hedge Funds • Mutual Funds • Private Equity • Asset Management • Traditional Fund Management
201 - 500
Description
• Develop, maintain, and optimise ETL processes for data extraction, transformation, and loading • Create and manage data models and data warehousing solutions • Write and maintain structured queries as well as content scraping projects • Utilise programming languages like Python, SQL for data processing tasks • Enablement of integration of apps / services and connecting to internal and third-party APIs • Collaborate with cross-functional teams to ensure seamless integration of data processes • Optimise data pipelines for performance and efficiency. • Work closely with data scientists and analysts to support their data needs. • Build pipelines to transform raw, unstructured data into useful information by leveraging AI and LLMs
Requirements
• Proven experience in data engineering and proficient in designing and implementing scalable data architectures. • Strong experience with ETL processes, data modelling, and data warehousing (we use airflow, dbt and redshift) • Expertise in database technologies, both relational (SQL) and NoSQL. • Knowledge of cloud platforms (AWS) • Solid understanding of data security measures and compliance standards. • Excellent Python experience • Collaborative skills to work closely with data scientists and analysts • Ability to optimize data pipelines for performance and efficiency. • Ability to build, test and maintain tasks and projects • Experience with version control systems, like Git. • Experience with Airflow and/or dbt • Experience working in Agile environment using SCRUM/Kanban • Hands-on experience working within a DevOps environment
Benefits
• 24 days annual leave rising to 29 days • Enhanced parental leave • Medicash (Health Cash Plans) • Wellness Days • Flexible Fridays (Opportunity to finish early) • Birthday day off • Employee assistance program • Travel loan scheme • Charity days • Breakfast provided • Social Events throughout the year • Hybrid Working
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