Python Developer

Digital Skills ltd; Erlangen; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading company is seeking a dynamic Python Developer with C++ experience for a hybrid contract role focusing on data processing and analysis. This position involves implementing complex data pipelines, visualizations, and algorithm integration in collaboration with sports scientists. The contract is initially for 6 months, with potential for extension, and requires a PhD or relevant degree along with commercial experience.

Qualifikationen

• PhD or relevant degree required.
• At least 2 years of commercial experience in relevant fields.

Aufgaben

• Implementation of data processing pipelines in Python and C++.
• Conversion of data into different coordinate systems and visualization.
• Integration of algorithms for complex data analysis.

Kenntnisse

Python

C++

Data Processing

Data Analysis

REST-API

Time-series data

Visualization

Ausbildung

PhD or relevant degree

Tools

Matplotlib

Plotly

Databricks

Jobbeschreibung

Python Developer C++

Hybrid 2 days per week onsite

Data processing and analysis

Contract

€550 per day

6 month initial contract

Digital Skills are working with a leading company, helping them deliver innovative data products and services.

We require a dynamic Python developer with experience in C++ to help perform the following services:

• Implementation of specified pipelines to process raw data.
• This will be done in Python, depending on the computational complexity, some C/C++ code might be required or needs to be integrated.
• Processing and analysis of complex time-series data.
• Conversion of data into different coordinate systems
• Re-sampling of data in case of sampling rate differences
• Integration of algorithms with the software from different lab-machine vendors.
• Utilization of a REST-API to upload the processed data into our ADM system.
• Depending on the use-case, deployment of the pipeline can differ:
• Integration of algorithms into the “Plotly-dash” application.
• The pipeline can also be part of a Notebook on Databricks.
• Implementation of visualization approaches to make it interpretable by sports scientists:
• Visualization complex data in an intuitive way
• Utilization of Matplotlib/Plotly for plotting data
• Utilization of 3D rendering frameworks to render time dependent 3D data
• Implementation of data-fusion approaches:
• Time-wise registration of data from multiple sources with varying sample rate. All data shared by us upfront.
• Registration of datasets acquired in different spaces.

This role requires a highly qualified engineer with a PHD or relevent degree and at least two years commercial experience.

You will be working for a recognised brand, given lots of help and support as well as working on high profile projects.

This is a contract role that should extend for up to one year.

If this sounds like you, please do apply.