

N Consulting Global
Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 5+ years of experience, specializing in SQL, Python/Scala, and ETL tools. Requires banking domain experience, knowledge of big data technologies, and cloud platforms (AWS/Azure/GCP). Contract length and pay rate are unspecified.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
Unknown
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ποΈ - Date
February 19, 2026
π - Duration
Unknown
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ποΈ - Location
Unknown
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Glasgow, Scotland, United Kingdom
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π§ - Skills detailed
#Scala #Azure #Data Engineering #Microservices #Kafka (Apache Kafka) #Data Governance #Python #Compliance #Cloud #Agile #Data Ingestion #Scrum #Redshift #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #AWS (Amazon Web Services) #Snowflake #API (Application Programming Interface) #Hadoop #GCP (Google Cloud Platform) #Datasets #SQL (Structured Query Language) #Big Data #Databricks #Computer Science
Role description
Required Skills & Experience
5+ years of experience as a Data Engineer.
Strong expertise in SQL and Python/Scala.
Hands-on experience with ETL tools and frameworks.
Experience with data warehousing concepts and dimensional modeling.
Strong experience in cloud platforms such as AWS / Azure / GCP.
Experience with big data technologies (Spark, Hadoop, Kafka).
Knowledge of API integrations and microservices-based data ingestion.
Experience working in Agile/Scrum environments.
Banking Domain Experience (Mandatory)
Experience working with banking datasets such as:
Payments & Transactions
Retail/Corporate Banking
Risk & Compliance
AML/KYC reporting
Regulatory reporting
Understanding of financial data governance and audit requirements.
Preferred Qualifications
Experience with Snowflake, Databricks, or Redshift.
Knowledge of data governance tools.
Exposure to real-time streaming platforms.
Banking domain experience
Education
Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field.
Required Skills & Experience
5+ years of experience as a Data Engineer.
Strong expertise in SQL and Python/Scala.
Hands-on experience with ETL tools and frameworks.
Experience with data warehousing concepts and dimensional modeling.
Strong experience in cloud platforms such as AWS / Azure / GCP.
Experience with big data technologies (Spark, Hadoop, Kafka).
Knowledge of API integrations and microservices-based data ingestion.
Experience working in Agile/Scrum environments.
Banking Domain Experience (Mandatory)
Experience working with banking datasets such as:
Payments & Transactions
Retail/Corporate Banking
Risk & Compliance
AML/KYC reporting
Regulatory reporting
Understanding of financial data governance and audit requirements.
Preferred Qualifications
Experience with Snowflake, Databricks, or Redshift.
Knowledge of data governance tools.
Exposure to real-time streaming platforms.
Banking domain experience
Education
Bachelorβs or Masterβs degree in Computer Science, Engineering, or related field.






