Arrows

Technical Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Technical Analyst, paying up to £570 per day for 6 months, focused on cloud-based data platforms, requiring strong SQL, Agile experience, and expertise in GCP/AWS. Immediate starters preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
575
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🗓️ - Date
June 18, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Python #Kubernetes #Scrum #Kanban #AWS (Amazon Web Services) #Migration #GCP (Google Cloud Platform) #Data Analysis #SQL (Structured Query Language) #Java #Cloud #Data Catalog #Datasets #Kafka (Apache Kafka) #Scala #YAML (YAML Ain't Markup Language) #Data Warehouse #"ETL (Extract #Transform #Load)" #Agile #Data Ingestion #Stories #JSON (JavaScript Object Notation)
Role description
Senior Technical Analyst - Tech Analyst - Platform - Kafka - GCP - GKE - Paying up to £570 per day (Inside IR35) - 6 Months - Immediate Starters We're looking for an experienced Senior Technical Analyst to join a large-scale data platform programme, sitting at the intersection of Product, Engineering and Data teams. You'll play a key role in shaping platform capabilities, translating business requirements into technical solutions, and driving delivery across complex data and analytics initiatives. This role will focus on modern cloud-based data platforms, supporting data ingestion, transformation, governance and analytics capabilities across a highly scalable environment. Key experience required: • Strong Technical Analyst experience within Agile delivery environments (Scrum/Kanban) • Proven background working on enterprise data platforms, data warehouses, migrations, ETL pipelines, analytics and reporting solutions • Experience gathering and refining requirements, writing user stories, managing backlogs and defining acceptance criteria • Strong SQL and data analysis skills, with experience working across large-scale datasets and complex data models • Experience mapping end-to-end data flows, transformations, lineage and business rules across multiple systems • Strong understanding of data ingestion, processing and analytics architectures • Experience working with cloud-based data platforms, ideally within GCP and/or AWS environments Desirable experience: • Exposure to Google Kubernetes Engine (GKE) and event-driven architectures • Understanding of data cataloguing and lineage tools such as DataHub • Experience working with JSON, YAML or HOCON configuration formats • Exposure to Python, Scala or Java-based data platforms and services This is an exciting opportunity to join a globally recognised technology organisation delivering cutting-edge digital products and data capabilities at scale, leveraging modern cloud, streaming and analytics technologies.