For our prestigious client, we are looking for a senior Data Engineer with strong Python programming experience.

Responsibilities:

– Develop and operate data pipelines processing large, complex datasets as input for analytics and machine learning

– Help to define the analytical scope and data for projects, including investigating data sources, designing new features and data integration flows.

– Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

– Create data tools for analytics and data scientist team members that assist them in building and optimizing their results.

– Utilizing a diverse array of technologies and data science toolsets as needed, primarily Python, Spark and Pandas, but also Jupyter, Denodo, Azure ML, Azure DevOps, Docker, Databricks, GIT, SQL, …

– Communicate ideas, approaches and results with peers and stakeholders

Requirements:

– Mastery of Python, Spark and Pandas to create ETL pipelines for data scientists to use; knowledge of one or more data pipelines frameworks is a plus

– At least 3 years of intensive hands-on experience as a full-stack Python data engineer: Python, Spark, Pandas, NumPy, SciPy, visualization (matplotlib), machine learning (scikit-learn), data pipeline orchestration (e.g. kedro)

– Good knowledge and experience with versioning systems (GIT)

– Good knowledge and experience with databases

– Advanced degree in a relevant discipline such as: Statistics, Applied Mathematics, Operations Research/Optimization, Computer Science, Computational/Theoretical

Physics, Data Science/visualization, Machine Learning, Electrical/Computer Engineering or Health Sciences (e.g. Bioengineering /Bioinformatics)

– Experience in extracting, cleaning, preparing and modeling data. Experience with command-line scripting, data structures, and algorithms.

– Ability to work across structured, semi-structured, and unstructured data

– Strong presentation and communication skills towards peer data scientists and non-technical stakeholders.

– Ability to work individually and in teams (agile).

– Experience with sales & marketing analytics is a plus.

Hours per week: Full time

Duration of the assignment: 6 months+

Start date: January 2023 (or earlier)

100% work from home 

If you are interested, please send your CV now for immediate consideration.