Mid/Senior Data Engineer (Analytics)

Methods Analytics is recruiting for a Data Engineer to join their team on a permanent basis. The role will involve leading technical aspects of data engineering projects, designing and architecting modern data solutions, and collaborating with stakeholders to translate business requirements into technical specifications.

Requirements

• Lead technical aspects of data engineering projects
• Design and architect modern data solutions
• Design and implement advanced ETL/ELT pipelines
• Build highly scalable and performant data solutions
• Develop data models to handle enterprise-level analytical needs
• Make critical technical decisions on tools, frameworks, and approaches
• Optimise large-scale data processing systems for performance and cost-efficiency
• Implement robust data quality frameworks and monitoring solutions
• Evaluate new technologies to enhance data engineering capabilities
• Collaborate with stakeholders to translate business requirements into technical specifications
• Present technical solutions to leadership and non-technical stakeholders
• Contribute to the development of the Methods Analytics Engineering Practice

Benefits

• Annual two-day technical hackathon
• Monthly Engineering & Architecture Community of Practice event
• Bi-annual whole company teambuilding events
• Development access to Pluralsight and LinkedIn Learning
• Volunteering - 2 paid days per year
• Private Medical Insurance
• Worldwide Travel Insurance
• Life Assurance of 4 times base salary
• Time off - 25 days of annual leave a year
• Pension Salary Exchange Scheme
• Wellness 24/7 Confidential employee assistance programme
• Social - office parties, pizza Friday and commitment to charitable causes