Lead 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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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

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.

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Schedule

Shift type

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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

Lead Data Engineer London, United Kingdom What we're all about. It isn't often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We're a real team. Collaborating and constantly engineering better and better solutions. We're ambitious, we think things through and we're on a mission to discover just how far we go. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all. If our incredible culture sounds like you, we'd love you to join us. Opportunity Applications is an Engineering function within Quantexa's R&D department that is focused on internally building real-world applications of the Quantexa Platform. Data Engineers are focused on building the data infrastructure and processing capabilities that power Quantexa's platform and applications. This role focused on one of our Applications Teams: Data Feeds - Building standardised and reusable code for processing various third party/open source data sets - Managing an internal data lake for the provision of this data by other teams for testing and analytics - Owning general best practices for ingesting and processing data to get it ready for use in the Quantexa Platform, including pipelines and scheduling Decision Systems - Developing Quantexa's core risk detection and scoring

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