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Data Architect

2 months ago

Oxford, United Kingdom Walsh Employment Full time
Job Title: ML Ops / Data Engineer

Company: Walsh Employment

Job Type: Full-time

Location: Remote (Oxford)

Job Description:

Job Summary

We are seeking a highly skilled ML Ops / Data Engineer to join our team at Walsh Employment. 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.

Key Responsibilities
  • Supporting Data Engineering Infrastructure: Contribute to the design, development, implementation, and continuous improvement of our data engineering tools, workflows, processes, and platforms.
  • Writing Well-Structured Code: Develop clean, maintainable, well-documented code that adheres to best practices. Mentor and support in 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.
  • Providing backup/escalation to the tech-on-call team.
  • Communicating effectively across Software and Data Science teams.
Requirements
  • 5+ years of Python experience.
  • 3+ years of working in technical teams, building data pipelines, delivering productionised code, building/maintaining live applications, developing tooling, and improving backtesting frameworks.
  • 2+ years of orchestrating machine learning workflows.
  • Proficiency with Orchestration and IaC in AWS (e.g. Terraform, Kubernetes, RabbitMQ, Airflow), Git, containerisation (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 centralising diverse datasets for analytics, visualisation, and machine learning.
  • Familiarity with time-series forecasting and/or optimisation.
  • Experience with data visualisation and dashboards (e.g. Grafana, Superset).
  • Familiarity with machine learning and associated techniques (feature engineering, boosting methods, LightGBM).
What We Offer
  • A competitive salary.
  • Flexible working arrangements.
  • A lot of personal development opportunities.