Senior Data Engineer. Python/AWS. Front Office, pre-trade analytics, Commodities Trading, London.
Răspunde la anunțData Engineer, Software Engineer, Python, AWS, Data Pipelines, ETL
Ink Search are representing a Global, Prestigious Commodities Trading house based in London. We're recruiting for 3 x Python Software Engineer/Data Engineer to work directly with the traders and research analysts in their trading teams. This is an exciting opportunity to work in a
- paced commercial setting, playing a vital role in a Real Time, data and software driven trading environment.
The successful candidate will be part of the global Data Science and Engineering team (approx 60 people), who are responsible for the ingestion, management, interpretation and modelling of market and fundamental data, in order to create sophisticated data & analytics applications and solutions for Quantitative analysis and
- trade decisions.
The Software Engineer/Data Engineer will be technically responsible for building advanced data pipelines and software applications using cutting edge cloud and software technology stacks.
Key Responsibilities
Engineer software such as components, frameworks and
- services
Build core infrastructure and common services for use across Dn
A applications, such as common services and frameworks.
Build cloud native big data platforms and analytics solutions
Build and maintain time critical data integration pipelines (ETL/ELT)
Implement a strong SDLC and agile principles to software delivery
Apply domain driven design to a high frequency, low latency trading environment
Abilities, Experience and Qualifications:
5+ years of Python development
SQL
Strong experience with relational databases
Distributed systems, orchestration and
- services
AWS experience (eg S3, Redshift, Glue, Lambda)
Prior Front Office experience in Commodities, Fixed Income, Equities, Asset Management would be a distinct advantage
Competencies:
Outstanding communication and ability to interact with a diverse set of stakeholders across business lines and technology teams
Understanding and experience implementing software engineering best practices in a complex, data rich business environment
Ability to tackle problems under pressure
Ability to effectively prioritise tasks of high importance
Key Relationships and Department Overview:
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.
This is a unique opportunity to work within a recognised team of global industry experts and work right at the very forefront of technology and data to design and develop a "best in class" data and decisions environment for one of the most prestigious commodities trading firms on the planet. If you enjoy complex challenges, are motivated by working alongside exceptional talent and want to see direct and tangible benefit from your work, please don't hesitate to apply. All applications will be treated with confidence and discretion. The client offer an exceptional working culture, market leading salary, bonus and benefits and long term career growth. The client will offer sign on bonuses to compensate for loss of bonus earnings.
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