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Senior Python Engineer - Data ( Remote, Full-Time) [AS340]

Smart Working· Engineering
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RemoteFull-Time | RemotePosted 1w ago

About the role

Senior Python Engineer (Backend / Data) role focused on building and maintaining reliable production data pipelines and backend services, collaborating with DevOps/SRE, and ensuring data quality and production stability in a remote, full-time capacity.

Responsibilities

  • Design, build and maintain reliable data pipelines in Python on AWS.
  • Build and maintain backend services and APIs using Django and FastAPI.
  • Model, query and optimise data across PostgreSQL and search/NoSQL databases, including OpenSearch, Elasticsearch and DynamoDB.
  • Deploy and run services on Kubernetes, working alongside the DevOps engineer.
  • Take end-to-end ownership of assigned work, including design, testing, code reviews, releases and production support.
  • Work independently on assigned tasks while collaborating closely with the engineering team and DevOps/SRE engineer on infrastructure and releases.
  • Maintain high standards of data quality, correctness and testing while understanding how data pipelines contribute to the wider product.
  • Follow established engineering practices, including code reviews and CI/CD, while adapting to changing priorities.
  • Proactively identify problems, propose solutions and challenge technical decisions when necessary rather than simply executing tickets.
  • Prioritise thoroughness, reliability and production stability when developing and maintaining data pipelines and data stores.

Qualifications

  • 6+ years of experience in software engineering, including 5+ years of commercial Python development.
  • 5+ years of Python backend development experience, with strong hands-on engineering capabilities.
  • 3+ years of experience in data pipelines and data engineering, including ETL/ELT processes and batch processing. Relevant technologies include Airflow, Dagster, Prefect, AWS Glue and Step Functions.
  • 3+ years of AWS experience, with practical experience developing and maintaining cloud-based backend services and data pipelines. Strong GCP or Azure experience may be considered on a case-by-case basis.
  • 3+ years of experience with Python web frameworks, particularly Django or FastAPI. Flask is an acceptable alternative.
  • 3+ years of PostgreSQL experience, including data modelling, querying and optimisation. MySQL or SQL Server experience may be considered where strong SQL expertise is demonstrated elsewhere.
  • 2+ years of experience with non-relational or search databases, such as Elasticsearch, OpenSearch or DynamoDB. Relevant alternatives include MongoDB, Redis and Cassandra.
  • 2+ years of Kubernetes experience, including deploying and running services. Docker combined with ECS or EKS exposure may be considered as an alternative.

Skills

Required:Python
Last updated Oct 21, 2026. Interested? Apply on the company site.

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