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Senior Manager Site Selection
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Senior Asset Manager
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Senior Product Manager
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Finance Process and Change Manager
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Chief Financial Officer
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Senior Product Manager
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Solutions Architect
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Principal Software Engineer
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Engineering Manager
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Data Engineer
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Presales Engineer/Architect
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Azure Architect
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System Architect
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Bid Director
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Data Engineer
1 week ago
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Data Acquisition Engineer - Camden Area, United Kingdom - BettingJobs
Description
BettingJobs are working with an established sports betting odds provider who are based in London who are looking to add a Data Acquisition Engineer to their team.
Responsibilities:
Develop, test, run and monitor software that consumes data efficiently from approved sources.
Ensure proper documentation is written and up to date.
Adopt and follow a good pace of software refactoring ensuring fast delivery of accurate data.
Use internal tools to evaluate and validate all data acquired.
Ensure all data shipped to the customers meets the quality standards.
Quickly address customer issues following escalation from the Client Services Team
Keep learning and improving, sharing the acquired knowledge with the wider group.
Maintain good relationships with wider Data Acquisition Team.
Maintain clear and open path of communication with Client Services Team.
Requirements:
Coding proficiency preferably in Scala; alternatively Java, Python or any other high level language.
A Bachelors degree in Computer Science from an accredited University.
Ability to work in a fast-paced environment with competing and alternating priorities but constant focus on delivery.
Logical and structured approach to problem-solving in both tactical and strategic initiatives.
Proactive, open-minded, and keen to learn and develop.
Good verbal and written communication skills.
Good knowledge of sports and exposure to sporting data information or sports betting domains.
Some evening and weekend work required in line with the sports calendar.
Experience working with Linux use for service hosting and day-to-day use.
Experience working with various data SQL and NoSQL stores.
Exposure to financial, trading, and risk management systems is an advantage.