Insight International (UK) Ltd
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Bournemouth, UK, on a contract basis, requiring strong ETL, DataBricks, and Java skills. Key experience includes end-to-end data ingestion and familiarity with various file formats and Apache Flink.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
July 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bournemouth, England, United Kingdom
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🧠 - Skills detailed
#Data Engineering #Data Ingestion #Java #JSON (JavaScript Object Notation) #Batch #"ETL (Extract #Transform #Load)" #Programming #Data Processing #Databricks #Python #XML (eXtensible Markup Language)
Role description
Role: Senior Data Engineer
Location: Bournemouth, UK
Onsite (5 Days/Week)
Employment type: Contract
Must have: ETL, DataBricks, Java, data ingestion
We are looking for a Developer with ETL experience with strong experience in data ingestion and ETL development.
Required Skills:
• Hands-on experience in ETL - end-to-end data ingestion.
• Strong programming skills in Java and/or Python.
• Experience working with various file formats (CSV, JSON, XML, Parquet, Avro, etc.) and ingesting data from multiple source systems.
• Hands-on experience with Databricks for data processing and transformation.
Experience with the Apache Flink framework for stream and batch data processing
Role: Senior Data Engineer
Location: Bournemouth, UK
Onsite (5 Days/Week)
Employment type: Contract
Must have: ETL, DataBricks, Java, data ingestion
We are looking for a Developer with ETL experience with strong experience in data ingestion and ETL development.
Required Skills:
• Hands-on experience in ETL - end-to-end data ingestion.
• Strong programming skills in Java and/or Python.
• Experience working with various file formats (CSV, JSON, XML, Parquet, Avro, etc.) and ingesting data from multiple source systems.
• Hands-on experience with Databricks for data processing and transformation.
Experience with the Apache Flink framework for stream and batch data processing
