Signify Technology
Senior Data Engineer (Scala) - Contract
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Scala) on a 6-month contract, paying £600 Outside IR35, requiring on-site presence in London once a week. Key skills include Scala, Spark, Airflow, Databricks, and streaming tools, with 5+ years of relevant experience.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
November 28, 2025
🕒 - 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
London Area, United Kingdom
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🧠 - Skills detailed
#Airflow #Kafka (Apache Kafka) #Databricks #Data Engineering #Scala #Data Pipeline #Data Quality #Spark (Apache Spark)
Role description
Signify is partnering with a key client on an exciting contract opportunity.
Role: Senior Data Engineer (Scala) – initial 6 months
Location 1 day a week on-site in London
Rate: 600 OutsideIR35
Interview Process: 3 stages – interview, but can move quickly
Key Responsibilities
• Build and maintain Scala-based data pipelines.
• Develop workflows in Airflow and Databricks.
• Work on streaming data and experimentation platforms.
• Ensure data quality, reliability, and scalability.
Requirements
• 5+ years in Data Engineering or Data Platform teams.
• Strong Scala and Spark skills.
• Experience with Airflow, Databricks, and streaming tools (Kafka, Kinesis).
• Background in experimentation or analytics platforms.
if you fit the above skills, pleae reach out and submit your cv.
Signify is partnering with a key client on an exciting contract opportunity.
Role: Senior Data Engineer (Scala) – initial 6 months
Location 1 day a week on-site in London
Rate: 600 OutsideIR35
Interview Process: 3 stages – interview, but can move quickly
Key Responsibilities
• Build and maintain Scala-based data pipelines.
• Develop workflows in Airflow and Databricks.
• Work on streaming data and experimentation platforms.
• Ensure data quality, reliability, and scalability.
Requirements
• 5+ years in Data Engineering or Data Platform teams.
• Strong Scala and Spark skills.
• Experience with Airflow, Databricks, and streaming tools (Kafka, Kinesis).
• Background in experimentation or analytics platforms.
if you fit the above skills, pleae reach out and submit your cv.
