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Senior Data Engineer
2 months ago
Job Title: Data Engineering Consultant
Company: Lorien
Job Type: Permanent
Location: Hybrid working pattern 1-2 days per week
Salary: £70,000 - £75,000 per annum
About the Role:
We are seeking a talented Data Engineer/MLOPS to join our growing data practice, who will be responsible for supporting the overall Data Engineering Infrastructure.
Key Responsibilities:
- Contribute to the design, development, and continuous improvement of data engineering tools, workflows, and processes.
- Communicate with the Software and Data Science teams to integrate new data management technologies.
- Design and develop data pipelines to support business intelligence and machine learning initiatives.
- Develop and maintain data quality and governance frameworks.
- Collaborate with cross-functional teams to centralize diverse datasets for analytics, visualization, and machine learning.
- Implement and maintain monitoring frameworks to ensure data pipeline reliability and performance.
- Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions.
Requirements:
- Strong experience as a Data Engineer with a focus on MLOPS.
- Extensive Python experience with expertise in data pipeline building.
- Excellent knowledge of time-series forecasting and/or optimization techniques.
- Experience with developing tooling and improving back testing frameworks.
- Experience with orchestrating machine learning workflows and centralizing diverse datasets.
- Proficiency with Orchestration and IaC in AWS (e.g. Terraform, Kubernetes, RabbitMQ, Airflow), Git, containerization (Docker), database management (e.g. Postgres, Alembic).
- Experience with monitoring frameworks (e.g. Prometheus).
- Knowledge of UK power markets would be advantageous.
What We Offer:
As a Data Engineering Consultant at Lorien, you will have the opportunity to work with a talented team of professionals, contribute to the growth of our data practice, and develop your skills in a dynamic and innovative environment.
