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Data Engineer

Stanton House
Posted 6 days ago, valid for 20 days
Location

London, Greater London EC1R 0WX

Salary

£45,000 - £54,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position of Data Engineer is available in London with a hybrid work model at an AI SaaS platform.
  • Candidates should have a minimum of 3 years of experience in data engineering, particularly with Azure services, Python, and SQL.
  • The role involves designing and maintaining ETL/ELT pipelines, developing data models, and collaborating with various stakeholders to meet data requirements.
  • The expected salary for this position ranges from £60,000 to £80,000 per year depending on experience and qualifications.
  • A Bachelor's degree in Computer Science or a related field is required, along with expertise in big data technologies and data governance.

Position Title: Data EngineerLocation: London / Hybrid

Job Summary:My client, an AI SaaS Platform are seeking a skilled and motivated Data Engineer to join the team. The ideal candidate will design, develop, and maintain robust data pipelines and systems that support our organization's data-driven decision-making. You will leverage your expertise in Azure, Python, SQL, Databricks, and data modeling to ensure efficient, scalable, and high-quality data delivery across various platforms.

Key Responsibilities:

  • Design, develop, and optimize ETL/ELT pipelines for data integration, transformation, and migration using Azure Data Factory, Databricks, and other Azure services.
  • Develop and implement data models (conceptual, logical, and physical) to support business intelligence, analytics, and operational needs.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions that meet organizational objectives.
  • Create and maintain robust SQL scripts for querying, data manipulation, and performance tuning.
  • Implement and maintain data solutions using Azure Data Lake, Azure Synapse Analytics, and Azure Storage.
  • Ensure the security, privacy, and governance of data through proper implementation of data policies and standards.
  • Monitor, troubleshoot, and optimize existing data pipelines to ensure high performance and reliability.
  • Develop reusable, efficient, and well-documented Python scripts for data manipulation, automation, and analysis.
  • Work with large datasets and ensure scalability and efficiency in processing using Databricks and distributed computing frameworks.
  • Provide technical support and mentorship to team members regarding best practices in data engineering.

Qualifications:

Required Skills and Experience:

  • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience).
  • Proven experience as a Data Engineer or in a similar role.
  • Expertise in Microsoft Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage.
  • Proficiency in Python for data processing and automation tasks.
  • Advanced knowledge of SQL, including query optimization and database management.
  • Strong understanding of data modeling principles and experience in creating and implementing data models.
  • Experience working with big data technologies and distributed processing.
  • Knowledge of version control systems (e.g., Git) and CI/CD pipelines for data solutions.

Preferred Skills:

  • Experience with Power BI or other visualization tools for reporting purposes.
  • Familiarity with Spark for distributed data processing.
  • Knowledge of cloud cost management and optimization strategies.
  • Certifications in Azure (e.g., Azure Data Engineer Associate) are a plus.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

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