Cubestech Ltd
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with BFSI experience, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include Databricks, Spark/PySpark, Python, SQL, and AWS. Experience with data pipelines, SDLC practices, and responsible AI use is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#PySpark #Data Processing #Agile #"ETL (Extract #Transform #Load)" #Cloud #Data Pipeline #Storage #Python #Deployment #SQL (Structured Query Language) #AI (Artificial Intelligence) #Security #Data Engineering #Spark (Apache Spark) #Data Lifecycle #Documentation #Databricks #AWS (Amazon Web Services)
Role description
Greetings from Cubes Tech
We are looking for Data Engineer with BFSI experience
Hands-on experience with Databricks, Spark/PySpark, Python, and SQL
Experience developing and maintaining data pipelines and data processing
systems
Understanding of the data lifecycle, including ingestion, transformation, storage,
and consumption
Knowledge of cloud platforms (AWS) and distributed data processing
Experience with SDLC practices including CI/CD, testing, and deployment
Strong problem-solving skills and ability to troubleshoot data and pipeline issues
Ability to collaborate effectively within agile teams and across stakeholders
Hands-on experience using enterprise-authorized AI-assisted software
development tools within the work environment (e.g., for coding, test creation,
troubleshooting, or documentation) with demonstrated ability to critically
evaluate, validate, and refine AI-generated outputs for correctness, performance,
and security
Understanding of responsible AI use in engineering workflows,
including data sensitivity considerations, secure handling of inputs/outputs, and
adherence to resiliency and security expectations; ability to guide peers on safe
and effective usage within team practices
Greetings from Cubes Tech
We are looking for Data Engineer with BFSI experience
Hands-on experience with Databricks, Spark/PySpark, Python, and SQL
Experience developing and maintaining data pipelines and data processing
systems
Understanding of the data lifecycle, including ingestion, transformation, storage,
and consumption
Knowledge of cloud platforms (AWS) and distributed data processing
Experience with SDLC practices including CI/CD, testing, and deployment
Strong problem-solving skills and ability to troubleshoot data and pipeline issues
Ability to collaborate effectively within agile teams and across stakeholders
Hands-on experience using enterprise-authorized AI-assisted software
development tools within the work environment (e.g., for coding, test creation,
troubleshooting, or documentation) with demonstrated ability to critically
evaluate, validate, and refine AI-generated outputs for correctness, performance,
and security
Understanding of responsible AI use in engineering workflows,
including data sensitivity considerations, secure handling of inputs/outputs, and
adherence to resiliency and security expectations; ability to guide peers on safe
and effective usage within team practices
