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Form of workRobert 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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