Senior Data Engineer – Hybrid, Manchester

Michael Page; Manchester; Hybrid; GBP 58,000 - 63,000; Full time

Job summary

Michael Page in Manchester is seeking a Senior Data Engineer to design, build and optimise data pipelines for analytics, supporting decision-making across the leisure, travel and tourism sector. The role is permanent with hybrid working (approx.

2 days in the office) and a salary of £58,000–£63,000, with benefits to be confirmed. You will mentor junior engineers and collaborate with cross-functional teams to ensure data quality and accessibility.

Qualifications

• Strong technical skills in data engineering tools and frameworks.
• Experience working with large-scale data systems and pipelines.
• Knowledge of data governance and best practices in data quality.
• Ability to collaborate effectively with cross-functional teams.
• A proactive and solutions-focused approach to problem-solving.
• Excellent communication and documentation skills.

Responsibilities

• Developing and maintaining scalable data pipelines and systems to support analytics needs.
• Collaborate with analytics teams to ensure data accessibility and usability.
• Optimise data workflows and troubleshoot any data-related issues.
• Ensure data quality and implement best practices for data governance.
• Work with various data sources and integrate them into a centralised platform.
• Provide technical expertise and mentoring to junior team members.
• Document processes and maintain up-to-date records of data architecture.
• Support the organisation in leveraging data for strategic decisions.

Skills

SQL

Snowflake

Python

DBT

Airbyte

Job description

Michael Page in Manchester is seeking a Senior Data Engineer to design, build and optimise data pipelines for analytics, supporting decision-making across the leisure, travel and tourism sector. The role is permanent with hybrid working (approx.

2 days in the office) and a salary of £58,000–£63,000, with benefits to be confirmed. You will mentor junior engineers and collaborate with cross-functional teams to ensure data quality and accessibility.