Hope Tech

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 12-month contract, offering £54,193.30-£85,022.82 per year. Key skills include ETL/ELT, data governance, and cloud services. Experience in data architecture and collaboration with data scientists is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
386
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🗓️ - Date
November 13, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London E16
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🧠 - Skills detailed
#Automated Testing #Data Governance #Cloud #Metadata #Compliance #ML (Machine Learning) #Data Engineering #Databases #Scala #Data Storage #Data Quality #Data Processing #Storage #Data Lake #"ETL (Extract #Transform #Load)" #Datasets #Data Pipeline #Monitoring #Data Science #BI (Business Intelligence) #Automation #Data Architecture
Role description
We are seeking a Data Engineer to design, build, and maintain robust data infrastructure and pipelines that support our analytics, machine learning, and business intelligence initiatives. You will work closely with data scientists, analysts, and software engineers to ensure that data flows efficiently, securely, and reliably across systems. This role is ideal for engineers who enjoy solving data architecture challenges, optimizing performance, and enabling data-driven decision-making at scale. Key Responsibilities Data Pipeline Development Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. Integrate data from diverse sources (APIs, databases, cloud services, streaming systems). Ensure high availability, data quality, and consistency across pipelines. Data Infrastructure & Architecture Build and manage data storage solutions (data lakes, warehouses, and marts). Design efficient schemas and partitioning strategies for large-scale datasets. Optimize data processing performance and cost across cloud and on-premise systems. Collaboration & Enablement Partner with data scientists and analysts to deliver clean, accessible, and well-documented datasets. Implement data governance, lineage, and metadata tracking to ensure compliance and transparency. Contribute to data model design and help define company-wide data standards. Monitoring & Automation Implement automated testing, validation, and monitoring for data pipelines. Troubleshoot data issues and proactively identify performance bottlenecks. Automate data workflows and scheduling using orchestration tools. Job Types: Full-time, Permanent, Fixed term contractContract length: 12 months Pay: £54,193.30-£85,022.82 per year Work Location: In person