Methods Analytics (MA) is recruiting for a Data Engineer to join our team a permanent basis. This role will be mainly remote but require flexibility to travel to Bristol. What You''ll Be Doing as a Data Engineer: Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines using Python, SQL, and Apache Airflow Build highly scalable and performant data solutions leveraging cloud platforms and technologies Develop complex data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing systems for performance and cost-efficiency Implement robust data quality frameworks and monitoring solutions Evaluate new technologies to enhance our 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 by participating in our internal community of practice Requirements Experience in SQL Server Integration Services (SSIS) Good experience with ETL - SSIS, SSRS, T-SQL (On-prem/Cloud) 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 ..... full job details .....