

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 and data processing using Python or Java and SQL. The contract is ongoing, with a remote work location and competitive pay rate.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
-
ποΈ - Date discovered
August 4, 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
-
π - Location detailed
United Kingdom
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π§ - Skills detailed
#S3 (Amazon Simple Storage Service) #Java #Scala #GCP (Google Cloud Platform) #Normalization #Agile #Lambda (AWS Lambda) #AWS S3 (Amazon Simple Storage Service) #Data Engineering #Data Governance #SQL (Structured Query Language) #Data Modeling #Storage #Batch #Data Analysis #Kafka (Apache Kafka) #AWS (Amazon Web Services) #Cloud #EC2 #Unit Testing #Airflow #Data Processing #Datasets #Data Quality #Python #"ETL (Extract #Transform #Load)"
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.