Hybrid Data Engineer: Build Clean Data Pipelines & Insights

Michael Page (UK); Wythenshawe; Hybride; GBP 40 000 - 45 000; Plein temps

Avantages offerts par ce poste

Bonus scheme

25 days holiday

Option to buy 5 additional days

Free onsite parking

Hybrid work model

Résumé du poste

A Manchester-based pet food company is expanding its Data Engineering & Analytics team and seeks a Data Engineer to design, build and maintain data pipelines. The role is hybrid, based in Wythenshawe, with 3 days working from home and 2 days on site.

You will develop and optimise data systems for seamless integration, collaborate with analytics teams, and deliver actionable insights from data. Excellent career growth opportunities, a supportive environment, and a salary of £40,000–£45,000 plus a

Qualifications

• Strong technical skills in data engineering tools and technologies.
• Experience in designing and managing data pipelines.
• Knowledge of database systems and data modelling techniques.
• Ability to work collaboratively with analytics and IT teams.
• Understanding of data security and compliance requirements.

Responsabilités

• Design, build and maintain efficient and reliable data pipelines.
• Develop and optimise data systems to ensure seamless integration and accessibility.
• Collaborate with analytics teams to understand data needs and provide solutions.
• Monitor and troubleshoot data-related issues to maintain system performance.
• Work closely with stakeholders to deliver actionable insights from data.

Connaissances

Data pipelines

Data modelling

Database systems

Team collaboration

Data security

Outils

SQL

ETL

Databricks

Data Modelling

Description du poste

A Manchester-based pet food company is expanding its Data Engineering & Analytics team and seeks a Data Engineer to design, build and maintain data pipelines. The role is hybrid, based in Wythenshawe, with 3 days working from home and 2 days on site.

You will develop and optimise data systems for seamless integration, collaborate with analytics teams, and deliver actionable insights from data. Excellent career growth opportunities, a supportive environment, and a salary of £40,000–£45,000 plus a