Join a leading data and integration consulting firm delivering cloud-based solutions for a range of high-profile clients. The company prides itself on a collaborative culture, flexible working environment, and opportunities to develop advanced technical skills. This role is highly hands-on and consulting-focused, combining data engineering expertise with client engagement and mentoring responsibilities.

Responsibilities

• Lead the delivery of data engineering projects, ensuring high-quality outcomes and adherence to best practices.

• Build and maintain data pipelines, transformations, and integrations across data lakes, lakehouses, and warehouses.

• Apply data modelling principles (star and snowflake schemas) to support analytics and AI/ML workloads.

• Mentor and review work of junior and intermediate team members to maintain technical standards.

• Collaborate with architects on solution design, including cloud-native and modern engineering patterns.

• Implement and maintain DevOps practices, including version control, CI/CD pipelines, and automated testing.

• Lead testing, validation, and quality assurance of data solutions.

• Serve as the primary technical contact for clients, participating in scoping, estimation, and requirements discussions.

• Contribute to continuous improvement of internal processes, templates, and team knowledge sharing.

The requirements

• 6+ years in data engineering or a related field, with 4+ years hands-on in Databricks (Delta Live Tables, notebooks, workflows).

• Strong proficiency in Python and SQL for data transformation and analysis.

• Experience with cloud-based data solutions, DevOps practices, and well-architected scalable pipelines.

• Familiarity with data modelling (star/snowflake), Medallion architecture, and testing/data quality frameworks.

• Knowledge of Microsoft Fabric or similar cloud components a plus.

• Experience with data visualisation tools (Power BI or equivalent).

• Excellent communication, problem-solving, and consulting skills.

• Self-motivated, results-driven, adaptable, and able to manage multiple priorities.