Senior Engineer, Data Engineering

Senior Data Engineer | Bristol | Permanent Full-Time | Hybrid Working Peaple Talent are pleased to be working with a returning client in Bristol looking to recruit for a Senior Data Engineer. This is a full-time permanent role, and would require hybrid working in Bristol. This Senior Data Engineer role will involve working closely with the team lead, helping to guide a team of engineers in building, optimizing and maintaining robust data pipelines and a cutting-edge analytics platform. Design, develop, and maintain scalable data solutions that meet both technical guidelines and strategic business goals. Take an active role in Agile practices, including sprint planning, peer reviews, and change control meetings. Assist in shaping and upholding high development standards, collaborating on best practices and code quality with the team lead. Resolve advanced data-related challenges and fine-tune existing infrastructure for greater speed and dependability. Translate complex engineering concepts into clear, accessible language for non-technical colleagues. Establish and manage systems for data quality assurance, integrity checks, and monitoring in line with governance frameworks. Work closely with various departments to gather requirements and ensure data solutions reflect real business needs. Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers and supporting team growth by sharing knowledge and improving collective engineering practices. In-depth knowledge of data modelling best practices and common patterns used in pipeline architecture. Confident in version control with Git and familiar with setting up CI/CD workflows using platforms like Azure DevOps or similar tools. Hands-on experience with orchestration tools like Apache Airflow for managing complex data workflows. Strong experience working with cloud-based data services, especially within AWS environments, utilizing tools like Lambda, S3, Redshift, Glue, Athena and Secrets Manager. Skilled in building modern data warehouses on platforms like Amazon Redshift, Snowflake, or Databricks.