Senior Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Senior Data Engineer Delhi, Delhi, NCT, India, Karnataka About Allica Bank Allica is the UK's fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers. Role Description Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product and Management. We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the data engineering team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnership's agreements. Principal Accountabilities - Understand our data landscape and architecture. - Strong skillset in data modelling. - Build and maintain data pipelines. - Work with the team to engineer tools based on data requirements, manage development from prototyping to productionising. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improve existing tools for greater scalability, etc. - Develop and maintain data and coding standards, produce well-documented codes with robust

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