Data Engineer

Haystack • United Kingdom

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Drive data quality and enable cross-functional decision-making by building robust pipelines and self-serve data products. Define key metrics for platform health, developer productivity, and ML/AI adoption. Champion data quality initiatives and provide mentorship to junior team members.

Key Highlights

Drive data quality and enable cross-functional decision-making

Define key metrics for platform health, developer productivity, and ML/AI adoption

Champion data quality initiatives and provide mentorship to junior team members

Key Responsibilities

Build robust pipelines and self-serve data products

Define key metrics for platform health, developer productivity, and ML/AI adoption

Own end-to-end analytical data modeling using modern data warehousing tools

Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks

Develop clear, story-driven dashboards to visualize insights

Champion data quality initiatives and provide mentorship to junior team members

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Technical Skills Required

SQL Python Data transformation tools Cloud data warehouses Workflow orchestrators Distributed processing frameworks

Benefits & Perks

Opportunity to work on impactful data initiatives in a fully remote setup

Engage with a dynamic team at the forefront of data innovation

Gain exposure to cutting-edge data technologies and methodologies

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Nice to Have

Experience with experimentation, ML/AI metrics, or platform productivity

Job Description

We're working with a leading technology recruitment partner, connecting top talent with innovative companies that are shaping the future of data-driven decision-making.The Role

Drive data quality and enable cross-functional decision-making by building robust pipelines and self-serve data products.
Define key metrics for platform health, developer productivity, and ML/AI adoption.
Own end-to-end analytical data modeling using modern data warehousing tools.
Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks.
Develop clear, story-driven dashboards to visualize insights.
Champion data quality initiatives and provide mentorship to junior team members.

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