Nexify Infosystems
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in London, UK, for 12+ months outside IR35, paying an undisclosed rate. Key skills include Python, SQL, and experience with Spark and data orchestration tools. FAANG-scale experience is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 25, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Glasgow, Scotland, United Kingdom
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🧠 - Skills detailed
#Airflow #Scala #Python #Data Science #Data Engineering #Data Pipeline #Data Quality #Spark (Apache Spark) #Presto #Big Data #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Monitoring #SQL Queries #Spark SQL #Data Processing #Data Lineage #Datasets #Data Catalog
Role description
Role: Data Engineer
Location: London, UK (2 days/week onsite)
Duration: 12+ Months Outside IR35
Role Overview:
Looking for a Data Engineer to build and maintain scalable data pipelines and support large-scale analytics systems. You’ll work with high-volume data using modern orchestration frameworks and big data technologies.
Key Responsibilities:
• Build and maintain data pipelines using Python
• Develop and optimize ETL workflows
• Write complex SQL queries (Presto / Spark SQL)
• Work with Spark for large-scale data processing
• Ensure data quality, monitoring, and reliability
• Collaborate with cross-functional teams (Data Science, Product, Analytics)
Tech Stack
• Languages: Python, SQL
• Tools: Dataswarm (Airflow-like), Spark, Presto, Hive
• Others: Data catalog, dashboarding, lineage & monitoring tools
Required Skills
• Strong Python + SQL expertise
• Experience with data pipeline/orchestration tools (Airflow or similar)
• Hands-on with Spark / big data processing
• Good understanding of data warehousing concepts
• Experience working with large datasets
• Experience in FAANG-scale environments
• Exposure to data lineage / metrics frameworks
• Familiarity with real-time monitoring tools
Role: Data Engineer
Location: London, UK (2 days/week onsite)
Duration: 12+ Months Outside IR35
Role Overview:
Looking for a Data Engineer to build and maintain scalable data pipelines and support large-scale analytics systems. You’ll work with high-volume data using modern orchestration frameworks and big data technologies.
Key Responsibilities:
• Build and maintain data pipelines using Python
• Develop and optimize ETL workflows
• Write complex SQL queries (Presto / Spark SQL)
• Work with Spark for large-scale data processing
• Ensure data quality, monitoring, and reliability
• Collaborate with cross-functional teams (Data Science, Product, Analytics)
Tech Stack
• Languages: Python, SQL
• Tools: Dataswarm (Airflow-like), Spark, Presto, Hive
• Others: Data catalog, dashboarding, lineage & monitoring tools
Required Skills
• Strong Python + SQL expertise
• Experience with data pipeline/orchestration tools (Airflow or similar)
• Hands-on with Spark / big data processing
• Good understanding of data warehousing concepts
• Experience working with large datasets
• Experience in FAANG-scale environments
• Exposure to data lineage / metrics frameworks
• Familiarity with real-time monitoring tools
