

Data Engineer - Senior
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 7+ years of experience, focusing on ETL pipeline design using Python or Java and SQL. It offers a remote contract with ongoing recruitment, requiring expertise in cloud storage and data processing.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
-
ποΈ - Date discovered
August 15, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United Kingdom
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π§ - Skills detailed
#Storage #Normalization #Agile #GCP (Google Cloud Platform) #Unit Testing #Datasets #AWS S3 (Amazon Simple Storage Service) #Data Modeling #Lambda (AWS Lambda) #Airflow #AWS (Amazon Web Services) #Python #Cloud #Data Governance #Data Analysis #Scala #Data Processing #Kafka (Apache Kafka) #Data Engineering #S3 (Amazon Simple Storage Service) #Java #Data Quality #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Batch #EC2
Role description
What We're Working On
We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries.
What Youβll Do
β’ Join the team as a Senior-Level Data Engineer
β’ Design, build, and maintain reliable ETL pipelines from the ground up
β’ Work with large, complex datasets using Python or Java and raw SQL
β’ Build scalable, efficient data flows and transformations
β’ Collaborate with data analysts, product managers, and developers to deliver actionable data to stakeholders
β’ Ensure data quality, consistency, and performance across systems
What Weβre Looking For
β’ 7+ years of experience as a Data Engineer
β’ Strong skills in Python or Java for data processing
β’ Proficient in SQL, especially for querying large datasets
β’ Experience with batch and/or stream data processing pipelines
β’ Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.)
β’ Knowledge of data modeling, normalization, and performance optimization
β’ Comfortable working in agile, collaborative, and fully remote environments
β’ Fluent in English (spoken and written)
Nice to Have (Not Required)
β’ Experience with Airflow, Kafka, or similar orchestration/message tools
β’ Exposure to basic data governance or privacy standards
β’ Unit testing and CI/CD pipelines for data workflows
This job is 100% Remote β please ensure you have a comfortable home office setup in your preferred work location.
Ongoing recruitment β no set deadline.
What We're Working On
We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries.
What Youβll Do
β’ Join the team as a Senior-Level Data Engineer
β’ Design, build, and maintain reliable ETL pipelines from the ground up
β’ Work with large, complex datasets using Python or Java and raw SQL
β’ Build scalable, efficient data flows and transformations
β’ Collaborate with data analysts, product managers, and developers to deliver actionable data to stakeholders
β’ Ensure data quality, consistency, and performance across systems
What Weβre Looking For
β’ 7+ years of experience as a Data Engineer
β’ Strong skills in Python or Java for data processing
β’ Proficient in SQL, especially for querying large datasets
β’ Experience with batch and/or stream data processing pipelines
β’ Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.)
β’ Knowledge of data modeling, normalization, and performance optimization
β’ Comfortable working in agile, collaborative, and fully remote environments
β’ Fluent in English (spoken and written)
Nice to Have (Not Required)
β’ Experience with Airflow, Kafka, or similar orchestration/message tools
β’ Exposure to basic data governance or privacy standards
β’ Unit testing and CI/CD pipelines for data workflows
This job is 100% Remote β please ensure you have a comfortable home office setup in your preferred work location.
Ongoing recruitment β no set deadline.