Python Developer, Data

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November 21

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StructureIt

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Fintech • Artificial Intelligence • B2B

StructureIt is a technology consultancy that designs, builds and delivers custom software solutions and data platforms for capital markets and financial services. The company focuses on data engineering, application development and Artificial Intelligence to automate workflows, unify fragmented datasets, and provide audited, compliant reporting (SOC2/FSQS) for banks, asset managers, lenders, trustees and other financial institutions. StructureIt combines domain expertise in structured credit and commercial real estate with engineering and AI capabilities to offer B2B products and managed projects across small to enterprise clients.

51 - 200 employees

Founded 2006

💳 Fintech

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Work as part of a highly skilled development team delivering software solutions across multiple projects • Contribute to a range of projects including big-data analytics applications, financial platforms, and backend systems • Participate in greenfield development and full project lifecycle activities • Design, build, and maintain robust data pipelines and backend services using Python • Develop scalable ETL/ELT processes and distributed data workflows for large datasets • Build APIs and microservices to support data integration and analytics use cases • Implement Azure-based solutions using Data Factory, Databricks, Functions, Storage, and related components • Optimise data processes for performance, reliability, and cost efficiency • Produce clean, testable, maintainable code following engineering best practices • Participate actively in Agile ceremonies including sprint planning, stand-ups, retrospectives, and refinement • Contribute to all stages of the SDLC: requirements, design, development, testing, deployment, and maintenance

🎯 Requirements

• Strong hands-on Python development experience • Experience with at least one Python framework: FastAPI, Django, Flask, Pydantic, PySpark, Airflow, or Prefect • Knowledge of best-practice Python tooling (Pipenv, Poetry, PyTest, Flake8, PyCharm) • Solid understanding of OO principles and SOLID design techniques • Strong problem-solving ability and analytical thinking • Strong experience writing clean, testable code (unit, integration, and data validation tests) • Strong understanding of cloud architecture, networking, identity, monitoring, and security • Experience with Azure data components: Data Factory, Data Lake, Databricks, Functions, Event Hub, Synapse • Knowledge of ETL/ELT patterns, distributed data processing, and data modelling • Strong SQL skills and experience working with large-scale datasets • Familiarity with NoSQL technologies (MongoDB, Redis, CosmosDB, Elasticsearch) • Understanding of full data flow from ingestion through transformation to consumption • Strong experience with Git and modern version-control workflows • Experience with CI/CD pipelines (GitHub Actions, GitLab, Azure DevOps, Bitbucket Pipelines) • Experience with containerisation (Docker); Kubernetes knowledge is a bonus • Excellent collaboration and communication skills, with the ability to convey ideas clearly and receive feedback constructively • Strong time-management skills and ability to work across multiple projects • A critical thinking mindset and a drive to contribute to the organisation’s success • Ability to work effectively within Agile Scrum or Kanban teams • High attention to detail and commitment to engineering quality • Nice to have Experience working in financial services or regulated data environments • Exposure to real-time streaming systems (Kafka, Event Hub, Pulsar) • Experience with AWS or multi-cloud architectures • Front-end or full-stack experience (Angular, React) is beneficial but not essential • Knowledge of high-performance / low-latency databases is an advantage (ClickHouse, TimescaleDB, QuestDB, ScyllaDB)

🏖️ Benefits

• Fully remote working • Flexible working hours • High-spec Dell laptop • Money towards a keyboard of your choice, that is yours to keep • Insurance - fully paid on top of, not out of your salary • Health insurance • Life Insurance • Learning Budget - Books or Courses - you choose how to use it • Employee-first culture that encourages work/life balance • Everyone has a voice, regardless of title • Psychological safety • Annual leave • Paid Maternity, Paternity, Study & Moving leave • 2 years - monthly budget towards a cell phone contract OR petrol card • 3 years - the right to apply for a bursary • 5 years - 3 additional days annual leave • 7 years - a local weekend away