

Lumenalta (formerly Clevertech)
Data Engineer - Senior
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer position for 100% remote work, requiring 7+ years of experience, proficiency in Python or Java, and strong SQL skills. Key responsibilities include designing ETL pipelines and working with large datasets.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
October 6, 2025
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United Kingdom
-
π§ - Skills detailed
#Datasets #Python #Java #Data Processing #Airflow #Scala #Batch #"ETL (Extract #Transform #Load)" #Data Modeling #Data Engineering #EC2 #Kafka (Apache Kafka) #Cloud #Lambda (AWS Lambda) #Agile #Unit Testing #AWS S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #S3 (Amazon Simple Storage Service) #Data Analysis #Data Quality #Normalization #Storage #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Data Governance
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.