Big Data Engineer - with Growth Opportunities

Robert Half have partnered with a leading pharmaceutical logistics company who are seeking a talented Data Engineer to join their team, responsible for designing, building, and maintaining robust data pipelines and infrastructure. The ideal candidate will possess expertise in dbt, CI/CD processes, automated unit testing in a data context, and strong SQL skills. This role offers an exciting opportunity to work with cutting-edge technologies and contribute to the advancement of data-driven initiatives.

This role is a day rate contract of 3-6 months.

Outside IR35

Key Responsibilities:

Data Pipeline Development:

• Design, develop, and maintain scalable data pipelines using dbt.
• Collaborate with cross-functional teams to understand data requirements and implement best practices for data modelling.
• Ensure efficient data processing and transformation to support analytical and reporting needs.
• Continuous Integration and Deployment (CI/CD):
• Define and build CI/CD processes in dbt and DevOps environments.
• Establish quality control measures and automated testing frameworks for data pipeline reliability.

Automated Unit Testing:

• Develop and implement automated unit testing strategies tailored to data context.
• Monitor test results to maintain data pipeline robustness and reliability.
• SQL Development and Optimisation:
• Utilise strong SQL skills to optimise database performance and implement schema changes aligned with business requirements.
• Communication and Collaboration:
• Communicate effectively with stakeholders and collaborate with data scientists and analysts.
• Deliver solutions that meet business objectives.

Desirable Knowledge & Skills:

• Understanding of data modelling principles and frameworks.
• Familiarity with ETL techniques, especially Snap logic.
• Experience in Life Sciences/Pharmaceutical industry is desirable.

Requirements:

• Experience of and expertise in dbt.
• Experience defining and building CI/CD processes (ideally in dbt and DevOps).
• Experience of automated unit testing in a data context.
• Strong SQL skills.
• Proven written and verbal communication skills, and attention to detail.
• Experience with AirFlow

Qualifications:

• Demonstrated experience in data engineering, ETL development, and database management.
• Certification in relevant technologies or platforms is a plus.

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