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 building highly scalable and performant data solutions.

Requirements

• Proven experience leading technical aspects of data projects
• Strong data architecture and modelling skills with the ability to design scalable data solutions
• Experience mentoring junior engineers and providing technical guidance
• Deep understanding of data warehouse design principles and methodologies
• Advanced knowledge of optimisation techniques for large-scale data processing
• Strong proficiency in SQL and Python for handling complex data problems
• Hands-on experience with Apache Spark (PySpark or Spark SQL)
• Experience with the Azure data stack
• Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow
• Experience with containerisation technologies like Docker
• Proficiency in dimensional modelling techniques
• Experience with CI/CD pipelines for data solutions
• Experience implementing and advocating for test-driven development methodologies in data pipeline workflows
• Strong communication skills for translating complex technical concepts
• Track record of successful project delivery in a technical leadership capacity

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
• Time off - 25 days of annual leave a year
• Pension Salary Exchange Scheme
• Wellness 24/7 Confidential employee assistance programme