Infoplus Technologies UK Limited
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 6-month contract, paying "rate". Located in London/Edinburgh, it requires 2-3 days in-office. Essential skills include AWS, ETL/ELT, Python, SQL, and experience with data pipelines and DataOps practices.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 9, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#DataOps #Batch #DynamoDB #Programming #Snowflake #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Data Quality #Spark (Apache Spark) #MongoDB #Security #Data Ingestion #Automation #Scala #Python #SQL (Structured Query Language) #Cloud #Data Pipeline #Data Engineering #Kafka (Apache Kafka)
Role description
Role/Job title
Data Engineer
Work Location
London/Edinburgh
Role type
Contract InsideIR35
Mode of working
Hybrid
If Hybrid, how many days are required in office?
2 to 3 days
Duration of assignment
6 months
The Role
As a Data Engineer, you will design and build scalable data pipelines and data products using modern cloud technologies, ensuring efficient ingestion, transformation, and consumption of data.
Your Profile
Key Responsibilities
• Build and maintain data ingestion, transformation, and consumption pipelines
• Develop ETL/ELT processes using cloud-native services
• Implement batch and real-time data pipelines (Kafka/event streams)
• Ensure data quality, performance, scalability, and security
• Work with Data Modellers to implement data structures and schemas
• Integrate data from multiple sources (S3, Snowflake, MongoDB, DynamoDB, etc.)
• Contribute to DataOps practices, CI/CD, and automation
Essential skills/knowledge/experience:
• Strong experience in building data pipelines on AWS-based platforms
• Expertise in ETL/ELT, data pipeline orchestration, and cloud-native tools
• Strong programming skills (Python, SQL; Spark preferred)
• Experience with services such as S3, Glue, Kafka, Snowflake
• Understanding of DataOps, CI/CD, and data platform best practices
• Experience in large-scale data platforms and distributed systems
Role/Job title
Data Engineer
Work Location
London/Edinburgh
Role type
Contract InsideIR35
Mode of working
Hybrid
If Hybrid, how many days are required in office?
2 to 3 days
Duration of assignment
6 months
The Role
As a Data Engineer, you will design and build scalable data pipelines and data products using modern cloud technologies, ensuring efficient ingestion, transformation, and consumption of data.
Your Profile
Key Responsibilities
• Build and maintain data ingestion, transformation, and consumption pipelines
• Develop ETL/ELT processes using cloud-native services
• Implement batch and real-time data pipelines (Kafka/event streams)
• Ensure data quality, performance, scalability, and security
• Work with Data Modellers to implement data structures and schemas
• Integrate data from multiple sources (S3, Snowflake, MongoDB, DynamoDB, etc.)
• Contribute to DataOps practices, CI/CD, and automation
Essential skills/knowledge/experience:
• Strong experience in building data pipelines on AWS-based platforms
• Expertise in ETL/ELT, data pipeline orchestration, and cloud-native tools
• Strong programming skills (Python, SQL; Spark preferred)
• Experience with services such as S3, Glue, Kafka, Snowflake
• Understanding of DataOps, CI/CD, and data platform best practices
• Experience in large-scale data platforms and distributed systems
