Data Engineer

4 days ago

Oxford, Oxfordshire, United Kingdom Koniclab Full time
About Koniclab

Koniclab is a leading provider of innovative energy storage solutions, leveraging advanced algorithms and AI to optimize energy management and maximize value.

Job Summary

We are seeking a highly skilled Data Engineer - Energy Storage Optimization to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and implementing data engineering tools, workflows, processes, and platforms to support our energy storage optimization efforts.

Key Responsibilities
  • Design and Develop Data Engineering Tools: Contribute to the design, development, and implementation of data engineering tools, workflows, processes, and platforms to support our energy storage optimization efforts.
  • Write High-Quality Code: Develop clean, maintainable, well-documented code that adheres to best practices, and mentor and support the continued improvement of coding practices within the data science team.
  • Enhance Data Engineering Knowledge: Improve expertise within the software team and ensure their ability to support and collaborate on the data science infrastructure.
  • Data Quality Management: Continuously enhance data quality across multiple dimensions such as accuracy, availability, performance, and accessibility to ensure a clear understanding of data within the company.
  • Provide Backup/Escalation Support: Provide backup/escalation support to the tech-on-call team.
  • Communicate Effectively: Communicate effectively across software and data science teams.
Requirements
  • 5+ years of Python experience
  • 3+ years of working in technical teams, building data pipelines, delivering productionized code, building/maintaining live applications, developing tooling, and improving backtesting frameworks
  • 2+ years of orchestrating machine learning workflows
  • Proficiency with orchestration and infrastructure as code in AWS (e.g., Terraform, Kubernetes, RabbitMQ, Airflow), Git, containerization (Docker), database management (e.g., Postgres, Alembic)
  • Fluent in Python and its wider numerical ecosystem (e.g., Pandas, NumPy, Polars, Pydantic)
Desirable Requirements
  • Relational database design
  • Cloud infrastructure experience
  • Experience with monitoring frameworks (e.g., Prometheus)
  • Experience archiving data to Parquet on S3 and creating tools for API/Grafana queries
  • Experience centralizing diverse datasets for analytics, visualization, and machine learning
  • Familiarity with time-series forecasting and/or optimization
  • Experience with data visualization and dashboards (e.g., Grafana, Superset)
  • Familiarity with machine learning and associated techniques (feature engineering, boosting methods, LightGBM)
What We Offer

We offer a competitive salary, flexible working arrangements, and a lot of personal development opportunities. We value diversity and have a highly supportive environment that is challenging and focused on delivering high-quality work.

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