Insight International (UK) Ltd

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Platform Engineer in Bracknell, UK, with a 6+ month contract. Requires 5+ years' experience, AWS expertise, NoSQL skills, and proficiency in Python. Onsite 2 days a week; preferred AWS certifications are a plus.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 9, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bracknell, England, United Kingdom
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🧠 - Skills detailed
#Linux #Lambda (AWS Lambda) #Couchbase #Redshift #DMS (Data Migration Service) #Data Engineering #Shell Scripting #NoSQL #HBase #Data Replication #Terraform #Automation #AWS RDS (Amazon Relational Database Service) #Python #Cloud #Scripting #Security #Kafka (Apache Kafka) #Jenkins #Programming #AWS (Amazon Web Services) #Unix #Replication #RDS (Amazon Relational Database Service)
Role description
Position: Data Platform Engineer Location: Bracknell, UK The role requires the resource to be onsite 2 days a week in Bracknell, UK Contract: 6+ months Role: Data Platform Engineer (OnShore) Core Requirements • Experience: 5+ years in data platform engineering. • Cloud Expertise: o AWS: RDS, Redshift, DMS, Lambda. o OCI Cloud data services. o Infrastructure-as-Code: Terraform, AWS CloudFormation. • Replication & Streaming: o IBM CDC replication technologies. o Confluent Kafka. o IBM Voltage encryption. • NoSQL Expertise: o Strong in Couchbase cluster management. o Version upgrades, security patching, performance tuning. o High availability via node scaling and rebalancing. • Programming & Automation: o Python & Shell scripting. o Jenkins-based CI/CD pipelines. • Systems Knowledge: o Linux/Unix environments. o Networking protocols. o Ownership of production systems. • Soft Skills: o Excellent communication. o Comfortable working across IST & US Eastern time zones. Preferred Qualifications • AWS Advanced Certifications. • Multi-cloud platform exposure. • Distributed systems architecture experience. • Hands-on with Kafka streaming platforms. • Couchbase (or similar NoSQL) cluster admin experience. • Data replication pipeline development and maintenance.