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Software engineer

Slough
Tangent International
Software engineer
Posted: 4 July
Offer description

Software Engineer required for a client of ours looking to hire for one of their teams that is developing an AI-first product to support commercial real estate investment decisions. Our application pulls data from a variety of sources, applies market-leading machine learning, and presents insights through innovative visualizations. After proving our product’s value as an internal tool, we were acquired to scale and service new clients.


We are looking for a talented software engineer to join our team in London, to help build exciting new features, support the commercialization of the product, and be an active partner in bringing digital innovation to commercial real estate. You will join an experienced, tight-knit team of software engineers, machine learning scientists, and UX & UI designers.


Required Qualifications:

* Self-motivated, creative, inquisitive. Great attention to detail.
* Good communication skills and a team player.
* Proficient in Python: demonstrated experience working in teams of Python developers on large projects.
* Solid understanding of algorithms and data structures.
* Experience with building features using test-driven development.
* Solid experience using Git for version control.
* Solid grasp of data concepts (relational databases, data cleansing, validation).
* Understanding of basic statistics.
* Experience working with Agile methods based on fast iteration and validation cycles.

Ideal Attributes:

* Experience with cloud platforms (e.g., AWS, Azure).
* Broad understanding of Financial Services/Capital Markets/Asset Management.
* Experience working with geospatial data.
* Experience in feature engineering for Machine Learning applications.
* Experience with data engineering frameworks.
* Portfolio of past experience (e.g., demos of past work, contributions to open source, blogs, talks).

Technical Stack:

* Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2
* Core API Stack: Python 3, Django 4
* Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git hosting, ticket tracking)
* Hardware: Mac, Linux


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