Desired Skills and Experience
- Improving the efficiency of Spark infrastructure for core products
- Guiding evolving company data strategy
- Supporting analytical functions through data engineering
- Working collaboratively with Limejump’s Tech and Analytical teams to support business requirements
- A demonstrated deep interest in the “big data” ecosystem
- Necessary commercial expertise to lead the evolution of Limejump’s big data architecture
- Commercial work experience with Spark (preferably pySpark)
- Significant experience using Python (ideally in a Data Science context using numpy, pandas, scikit-learn, etc.)
- Preference for experience of processing live streams of data at scale (preferably using Spark Streaming, Flink, Samza or similar)
- Preference for commercial experience creating and running robust batch jobs/pipelines in a production environment (for example using Luigi or similar frameworks)
- Excellent interpersonal and communication (both verbal and written)
- Self-motivated and resourceful.
- Enthusiasm for innovation in the tech industry, including continuous learning and improvement
- If successful, eligibility to work in the UK without employer sponsorship
- Competitive Salary + Share Options
- 25 days holiday + Bank Holidays
- Cycle to Work benefit
- Employee discount scheme
- Company social events
- Excellent work environment and extremely motivated team who enjoy what they do
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