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Senior Big Data Developer

Adecco
Posted a day ago, valid for 24 days
Salary

£600 - £35 per day

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 job opportunity is for a Big Data Developer on a 6-month contract with a daily rate of £600, inside IR35 via umbrella.
  • Candidates must have at least 5 years of experience in big data technologies, including 3 years specifically in Apache Spark and Cloudera.
  • The role involves onboarding users, setting up build pipelines, and optimizing jobs while working in a hybrid environment, with 3 days in Belfast.
  • A bachelor's or master's degree in Computer Science or a related field is required, along with strong programming skills in Python and/or Scala.
  • This position offers a chance to contribute to improving decision-making and revenue growth while collaborating with various stakeholders.

?? Job Opportunity: Big Data Developer

?? Contract (6 months initially)

?? Daily Rate: £600 (inside IR35 via umbrella)

�? Hybrid Working: 3 days in Belfast. Enjoy the flexibility of working remotely and in the office.

Our client is seeking a detail-oriented and highly motivated Big Data Platform Development Engineer to join their team. As a vital member, you'll onboard users and clients, set up build pipelines, review code and queries, and optimise jobs. With a strong technical background in Big Data technologies like Hadoop, Spark, and Hive, you'll tackle complex systems with ease. Exceptional communication and organisational skills are essential as you collaborate with internal and external stakeholders.

?? Key Responsibilities:

? Onboard users and clients to the Olympus Big Data platform.

? Collaborate across teams to prioritise data requirements and enhance performance.

? Automate build and deployment processes using efficient pipelines.

? Conduct code reviews and optimise queries for enhanced performance.

? Guide teams to follow optimal industry practises.

? Design and develop scalable, fault-tolerant big data solutions on Cloudera.

? Monitor and optimise the risk data platform for efficiency.

?? Qualifications:

? Bachelor's or master's degree in Computer Science or a related field.

? At least 5 years of experience in big data technologies, including 3 years in Apache Spark and Cloudera.

? Strong knowledge of Hadoop, Hive, HBase, Kafka, and YARN.

? Excellent programming skills in Python and/or Scala.

? Analytical, problem-solving, and communication skills.

This role offers you a chance to contribute to our client's vision of improving decision-making, revenue growth, and regulatory accuracy. You'll partner with exceptional individuals across business and technology, gaining exposure to front-to-back trade processing and electronic trading in various asset classes. Your contribution will make a significant impact on the business.

?? Join our client's dynamic team and drive innovation in the world of big data! Apply now with your updated CV. #BigDataDeveloper #TechJobs #DataAnalytics

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.