Engineering Manager - Front Office Data & Analytics Tools (BJ-13448)
London
Big Data Jobs » Data Engineer
Competitive salary
Full time / Permanent
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Whilst working directly with the trading teams who are based in various global sites such as Geneva, Houston and Singapore, the engineering manager will be part of the global data science and engineering team who are responsible for the ingestion and management of market and fundamental data, sophisticated modelling techniques, data & analytics applications and solutions.
The software engineering manager will be a hands-on engineering manager, capable of leading a team of engineers to use cutting edge cloud and software technology stacks. Building end to end software platforms and stacks in a modern and innovation fuelled business.Knowledge Skills and Abilities, Key Responsibilities:
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Experience managing a team of engineers
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5+ years of Python and/or Java based language
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SQL
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Experience with relational databases
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Object oriented design
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Distributed systems, orchestration and micro-services
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AWS experience (E.g. S3, Redshift, Glue, Lambda)
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Bachelor's degree in computer science or related subject
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Any experience with object databases/NoSQL is a plus
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AWS certifications are a plus
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Prior front office experience in Commodities, Fixed Income, Equities, Asset Management would be a plus
Key Responsibilities
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Manager of a team of engineers
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Help create and implement a robust SDLC, agile practices
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Work with the business trading desks globally to help deliver robust and innovative tools
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Engineer software such as components, frameworks and micro-services
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Build cloud native big data platforms and analytics solutions
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Build and maintain time critical data integration pipelines (ETL/ELT)
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Implement a strong SDLC and agile principles to software delivery
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Apply domain driven design
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Problem solving and applying software solutions and automation to complex business issues and processes
Competencies:
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Outstanding communication and ability to interact with a diverse set of partners across business lines and technology
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Understanding and experience implementing software engineering best practices
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Ability to tackle problems under pressure
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Ability to effectively prioritise tasks of high importance
The Data Science and Engineering team researches, develops, and provides sophisticated analytics and data services and applications to the trading business, and other commercial operations at Trafigura.
Trafigura's teams handle both physical and derivative portfolios. The team heavily relies on data, analysis and process automation. They are looking to work with someone who can develop an understanding of their business and ultimately take ownership for a variety of technical applications and processes on the desk
Equal Opportunity Employer
We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.