Data Engineering Lead

2 days ago


London, Greater London, United Kingdom Methods Analytics Full time

About Us

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Methods Analytics is a forward-thinking organisation that harnesses the power of data to drive transformation. We combine technical expertise with industry knowledge to deliver cutting-edge data solutions that meet the evolving needs of our clients.

Job Description

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We are seeking an experienced Data Engineer to join our team within the Public Sector Business unit. The successful candidate will work closely with cross-functional teams to translate complex technical concepts into clear, accessible language for non-technical audiences and align data solutions with business needs.

Key Responsibilities:

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  • Design and implement efficient ETL and ELT pipelines, ensuring seamless integration and transformation of data from various sources to deliver clean, reliable data.
  • Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting.
  • Implement and uphold best practices in data governance, security, and compliance, using tools like Azure Purview, Unity Catalog, and Apache Atlas to maintain data integrity and trust.
  • Monitor and tune solution performance, identifying opportunities for optimisation to enhance the reliability, speed, and functionality of data systems.

Requirements:

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  • A bachelor's degree in Computer Science or a related field.
  • Proficiency in SQL and Python, with experience handling complex data problems.
  • Understanding of Data Lakehouse Architecture and hands-on experience with Spark-based solutions.
  • Expertise in building ETL and ELT pipelines, with knowledge of Azure Data Factory and Spark-based solutions.
  • Familiarity with Power BI dashboard development and dimensional modelling techniques.
  • CI/CD mindset, with experience working in automated builds, deployments, and unit testing environments.

Salary:

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£70,000 - £90,000 per annum

Benefits:

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  • A comprehensive benefits package, including pension scheme, private medical insurance, and life assurance.
  • Flexible working arrangements, including remote work options.
  • Ongoing training and development opportunities.


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