Within3 is hiring a
Senior Python Backend Software Engineer

Summary

Join Within3 as a Senior Python Software Engineer to lead the development of advanced insights capabilities and support public data integration projects. Work with a dynamic, distributed team on solving complex problems and advancing software engineering best practices.

Requirements

• 6+ years of professional programming experience with Python
• Strong foundation in data engineering and data processing pipelines
• Understanding of privacy-by-design frameworks and code-level security techniques
• Experience with SOA, job queues, concurrent programming and observability
• Proficient with SQL (any variant)
• Direct experience using at least one of the following RDBMS / OLAP / OLTP databases: PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, Redshift or Snowflake
• Direct experience using at least one of the following NoSQL databases: Redis, MemoryDB, DynamoDB, Neptune, Neo4j
• Direct experience with at least one data pipeline framework such as Airflow, Spark, Flink, Snowflake, Kafka, Amazon SWF, Amazon EMR or similar technologies
• Understanding of modern API design patterns (REST, JSON, GraphQL, etc.)
• Strong collaboration and communication skills
• Ability to foster cross-team relationships with empathy and respect
• Enthusiastic and passionate about craftsmanship, scalable systems and data
• Comfortable learning new technologies
• Exceptional attention to detail and strong analytical, problem-solving, and critical-thinking skills

Responsibilities

• Lead the development of advanced insights capabilities
• Support public data integration projects
• Design, guide and advance existing, as well as new, data processing pipelines
• Collaborate with a distributed, cross-functional team to deliver modern, scalable SaaS software
• Work on solving complex problems rather than specific tools

Preferred Qualifications

• Direct experience with at least one observability tool such as DataDog, Honeycomb, New Relic
• Experience with one or more of the following data libraries: Pandas, NumPy, SciPy
• Experience with one or more machine learning frameworks/tools such as TensorFlow, PyTorch, Keras, Scikit-learn, SageMaker
• Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc)
• Experience with Docker

Benefits

• Fully remote home-based flexible working
• Create your own home working space, including a MacBook Pro and monthly communication allowance
• Benefit from our unique approach to flexible working - Work Life Balance!
• A competitive compensation package & benefits programme aligned to your location
• Growth & advancement in a forward-thinking and dynamic organization where culture is everything!