Frontend Developer

Peregrine International Ltd
Leeds, United Kingdom
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Airflow Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Data Analysis Cyber Security Continuous Integration Data Warehousing DevOps Fraud Prevention and Detection Identity and Access Management
+17 more
Python (Programming Language) SQL Databases Management of Software Versions Workflow Management Systems Jupyter Notebook Data Processing Apache Spark Gitlab SC Clearance Pyspark Deployment Automation Data Analytics Front End Software Development Cloudwatch Terraform Software Version Control Docker

Job description

At Peregrine, we’re always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in large government organisations to Software Developers in the private sector - we are always in search of the best talent to place, now. We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that’s focused on growth, both yours, our clients’, and the sectors we support. You’ll also get access to a full range of benefits alongside your salary.

Tasks

  • Design, build, and operation of data ingest and publishing pipelines
  • Workflow orchestration and task scheduling using managed services
  • Collaboration with Product Owners, Business Analysts, and users to shape technical solutions
  • Production support, monitoring, and continuous improvement of system resilience, stability, and performance
  • Data analysis and investigation to identify root causes of defects and operational issues
  • DevOps collaboration, including supporting automated deployments, infrastructure management, monitoring, and scaling
  • Coaching and mentoring junior engineers and promoting engineering best practices

Requirements

  • Understanding of data processing using Apache Spark and Apache Airflow for task orchestration
  • Use of Python, SQL, and familiarity with PySpark
  • Understanding of EMR and reviewing output logs
  • Use of Jupyter notebooks and/or Amazon Athena to query and validate data
  • Data analysis to identify root cause of issues and familiarity with basic data structures for constructing a solution
  • Understanding of dimensional data models and slowly changing dimensions/historic data capture
  • Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB and LakeFormation
  • Familiarity with Amazon Textract and Comprehend
  • Understanding of both server-side and client-side encryption
  • Use of GitLab for source code management pipelines for CI/CD and GitLab Tags for component versioning in shared repositories
  • Understanding of Docker and containerization of solutions and IaC using Terraform
  • Experience of understanding how customer expectations transition to applied functionality
  • Active BPSS, SC clearance or eligible for clearance
  • Desirable skills**:
  • Experience supporting AI or data-driven platforms
  • Knowledge of cyber security or fraud prevention domains
  • Experience working within government or critical national infrastructure environments

Benefits & conditions

  • Access to a full range of benefits alongside your salary

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