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Data/DevOps Engineer

2 months ago

London, United Kingdom CommuniTech Recruitment Group Full time

Java/ Python/ Data Driven DevOps Engineer. Banking. £130-140K Base + Guaranteed 15% Bonus + Benefits. 12 Month Fixed Term rolling contract. Hybrid 2 Days a week in Central London Office.
My client is a top tier investment manager that is looking for a data driven DevOps Engineer that can code in Python and/or Java.

Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load log data
Implement scalable, fault-tolerant solutions for data ingestion, processing, and storage.
Support systems engineering lifecycle activities for data engineering deployments, including requirements gathering, design, testing, implementation, operations, and documentation.
Automating platform management processes through Ansible or other scripting tools/languages
Troubleshooting incidents impacting the log data platforms
Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.
Develop training and documentation materials
Support log data platform upgrades including coordinating testing of upgrades with users of the platform
Gather and process raw data from multiple disparate sources (including writing scripts, calling APIs, writing SQL queries, etc.) Enables log data, batch and real-time analytical processing solutions leveraging emerging technologies
Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems

Able to demonstrate experience supporting technical users and conduct requirements analysis
Experience with IT Service Management and familiarity with Incident & Problem management
Highly skilled in identifying performance bottlenecks, identifying anomalous system behavior, and resolving root cause of service issues.
Demonstrated ability to effectively work across teams and functions to influence design, operations, and deployment of highly available software
Knowledge of standard methodologies related to security, performance, and disaster recovery


Expertise in language such as Java, Python. Implementation knowledge in data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data
~ Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets
~ Troubleshoot and resolve issues related to data processing, storage, and retrieval.
~3-5 years’ Experience in designing, developing, and deploying data lakes using AWS native services (S3, Glue (Crawlers, ETL, Catalog), IAM, Terraform, Athena)
~ Experience in development of systems for data extraction, ingestion and processing of large volumes of data
~ Experience with data pipeline orchestration platforms
~ Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments
~ Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Proficiency in distributed Linux environments


Familiarity with data streaming technologies such as Kafka, Kinesis, spark streaming, etc
Knowledge of cloud platforms (prefer AWS) and container + orchestration technologies
Experience with AWS OpenSearch, Splunk
Experience with common scripting and query languages

If you are interested, please send a CV for immediate consideration.