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Overview This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Candidates must have 6+ years in software engineering, strong SQL skills, and expertise in Python, Java, or Scala, excluding insurance, banking, or finance backgrounds.
United States
Location 85 Great Portland Street, London, England, W1W 7LT
Qualifications
6+ years software engineering
Strong SQL and data focus
Expertise in Python, Java, or Scala, and technologies such as Airflow, Spark, Trino, and Kafka
Ability to analyze complex datasets and design solutions with optimum quality and efficiency
Familiarity with SDLC best practices, version control, and CI/CD
Experience working with enterprise-level companies (excluding insurance, banking, or finance domains)
Responsibilities
Architect, develop, and test large‑scale, efficient solutions that provide client leadership with accurate data to rapidly adapt to changing business conditions.
Design and implement scalable, high‑quality methods of consuming data from diverse sources with variable quality and predictability.
Create data products that enable self‑service and predictability for any consumer.
Build libraries and frameworks that drive leverage and productivity for the entire team.
Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence.
Work with cross‑functional teams, learn fast, adapt to changing requirements, and act as a self‑starter.
Freelance data hiring powered by an engaged, trusted community — not a CV database. #J-18808-Ljbffr
Overview This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Candidates must have 6+ years in software engineering, strong SQL skills, and expertise in Python, Java, or Scala, excluding insurance, banking, or finance backgrounds.
United States
Location 85 Great Portland Street, London, England, W1W 7LT
Qualifications
6+ years software engineering
Strong SQL and data focus
Expertise in Python, Java, or Scala, and technologies such as Airflow, Spark, Trino, and Kafka
Ability to analyze complex datasets and design solutions with optimum quality and efficiency
Familiarity with SDLC best practices, version control, and CI/CD
Experience working with enterprise-level companies (excluding insurance, banking, or finance domains)
Responsibilities
Architect, develop, and test large‑scale, efficient solutions that provide client leadership with accurate data to rapidly adapt to changing business conditions.
Design and implement scalable, high‑quality methods of consuming data from diverse sources with variable quality and predictability.
Create data products that enable self‑service and predictability for any consumer.
Build libraries and frameworks that drive leverage and productivity for the entire team.
Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence.
Work with cross‑functional teams, learn fast, adapt to changing requirements, and act as a self‑starter.
Freelance data hiring powered by an engaged, trusted community — not a CV database. #J-18808-Ljbffr