Data Engineering Lead
2 days ago
About Us
">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
">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:
">- 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:
">- 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:
">£70,000 - £90,000 per annum
Benefits:
">- 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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