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Java Spark Developer

Adecco
Posted 5 days ago, valid for 18 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Java Spark Developer on a contract-to-permanent basis located in Canary Wharf, London, requiring 3 days onsite work.
  • Candidates should have over 7 years of software development experience, including at least 3 years specializing in Java Spark and big data frameworks.
  • The role involves developing scalable data pipelines, implementing distributed computing solutions, and ensuring efficient data storage using Big Data technologies.
  • Strong proficiency in Python, knowledge of financial markets, and familiarity with market risk concepts are also essential qualifications.
  • The salary is competitive and commensurate with experience, with the role being inside IR35 via umbrella.

Java Spark Developer (Contract to Perm)Location: Canary Wharf, London - 3 days onsiteContract Type: Contract to Perm (inside IR35 via umbrella)

Are you a skilled Java Spark Developer with a passion for big data processing? Our client, a leading player in the finance domain, is looking for a talented individual to join their team in Canary Wharf, London. This is an exciting opportunity to work in a dynamic environment where your expertise in Core Java and Apache Spark will make a significant impact.

Key Responsibilities:

  • Develop and optimise scalable Java Spark-based data pipelines for processing and analysing large-scale financial data.
  • Design and implement distributed computing solutions for risk modelling, pricing, and regulatory compliance.
  • Ensure efficient data storage and retrieval using Big Data technologies.
  • Implement best practises for Spark performance tuning, including partitioning, caching, and memory management.
  • Maintain high code quality through testing, CI/CD pipelines, and version control (Git, Jenkins).
  • Work on batch processing frameworks for market risk analytics.

Qualifications & Skills:

  • 7+ years of software development experience, with at least 3 years specialising in Java Spark and big data frameworks.
  • Strong proficiency in Python and Java Spark, with a solid understanding of core Spark concepts (RDDs, DataFrames, Spark Streaming, etc.).
  • Experience in financial markets, risk management, and knowledge of financial instruments.
  • Familiarity with market risk concepts, including VaR, Greeks, scenario analysis, and stress testing.
  • Hands-on experience with Hadoop and Spark.
  • Proficient in Git, Jenkins, and CI/CD pipelines.
  • Excellent problem-solving skills and a strong mathematical and analytical mindset, with the ability to thrive in a fast-paced financial environment.

If you are ready to take the next step in your career and make a real difference in the finance domain, we want to hear from you! Please send your CV and a brief cover letter highlighting your relevant experience to our recruitment team.

Join us in shaping the future of financial analytics with cutting-edge technology!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.