At a Glance
- Tasks: Design and build scalable data pipelines for fintech insights.
- Company: myPOS, a growing fintech company focused on data innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data quality and ML automation.
- Why this job: Join a dynamic team and transform raw data into impactful business insights.
- Qualifications: Experience in data engineering, cloud platforms, and Spark optimisation.
The predicted salary is between 50000 - 70000 £ per year.
my POS is expanding its data team to design, build, and scale data pipelines and infrastructure that power fintech insights.
As a Data Engineer, you’ll work across ingestion, transformation, and analytics, turning raw data into trusted datasets for business decisions.
You’ll collaborate with analysts and data scientists, optimize Spark jobs and cloud data platforms, and help implement data quality, governance, and ML pipeline automation.
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Fintech Data Engineer: Scalable Pipelines & ML Ops employer: myPOS
At myPOS, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. As a Data Scientist, you'll have access to extensive training resources, including the myPOS Academy and unlimited LinkedIn Learning, alongside competitive benefits such as annual salary reviews and a generous pension contribution. Join us in our mission to revolutionise the Fintech industry while enjoying a collaborative environment that values innovation and teamwork.
