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Global Data Platform Project involving Azure, AWS, Spark, Kafka.
Get involved in shaping the future data vision for a leading FS Firm.
Opportunity to design, build and support cutting-edge data pipelines.We're partnering with a with a global financial services institution that are embarking on an ambitious project: to build an industry-leading data platform.
The long-term vision is to migrate all data within the coming years and embed any new products within this platform.
What you’ll be doing
You'll play a pivotal role in designing, developing, and maintaining the company's data infrastructure.
You’ll collaborate with cross-functional teams to ensure efficient data collection, storage, and retrieval, paving the way for superior analysis and insights.
Your expertise will be crucial in:
Supporting solution design activities and shaping the team's approach.
Developing, testing, and documenting scalable ETL data pipelines.
Ensuring design aligns with the company's technology strategy and standards.
Implementing robust data security measures and ensuring compliance.
Becoming a Subject Matter Expert in data technologies and addressing performance bottlenecks.What you'll need to apply
Minimum of 3 years' experience in data/software engineering.
Proficiency in Python and Spark/PySpark.
Experience with cloud platforms (e.g., AWS, Azure).
Knowledge in data modelling and ETL frameworks.
Excellent communication and problem-solving skills.What you'll get in return for your experience
A base salary of up to £80k plus bonus and a comprehensive benefits package. This includes an attractive shares program, a matched pension that can reach up to 18%, and substantial discounts on various products. Beyond these, they are firmly committed to the continuous learning and development, offering numerous opportunities to grow and enhance your skills through training courses/days.
They deeply value work-life balance, which is why they've adopted a hybrid working model that requires team members to be present at their Guildford office 2 – 4 days per month. These in-office days are primarily for team meet-ups, fostering collaboration and architectural discussions.
Eager to be at the forefront of a transformative data journey? Don't miss out on this opportunity. Apply now and let's discuss how you can make an impact