Senior Data Engineer - AI-Driven Data Pipelines for EV Grid

Senior Data Engineer - AI-Driven Data Pipelines for EV Grid

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build scalable data pipelines for an innovative EV-focused platform.
  • Company: Join ev.energy, a leader in AI-driven data solutions for electric vehicles.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a fast-paced, cutting-edge team driving the EV revolution.
  • Why this job: Make a real impact on the future of electric vehicles and data technology.
  • Qualifications: Experience in data engineering and a passion for AI and analytics.

The predicted salary is between 63000 - 77000 Β£ per year.

ev. energy is scaling a data-centric architecture to power a world-leading EV-focused VPP.

We seek a Senior Data Engineer to own warehousing design and end-to-end pipelines, from ingestion to analytics and payouts, in a fast-moving, AI-first environment.

The role emphasizes building scalable data pipelines, leading data-platform architecture, and ensuring data quality for critical driver incentives and telematics use cases, across a modern stack including Snowflake, dbt, and Fivetran.

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Senior Data Engineer - AI-Driven Data Pipelines for EV Grid employer: ArcTern Ventures

At ev.energy, we pride ourselves on being an innovative employer that champions a collaborative and dynamic work culture. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technologies in the rapidly evolving EV sector. Located in a vibrant tech hub, we offer a unique environment where your contributions directly impact the future of sustainable energy solutions.

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Contact Details:

ArcTern Ventures Recruitment Team

We think you need these skills to ace Senior Data Engineer - AI-Driven Data Pipelines for EV Grid

Python
SQL
Data Pipeline Development
Problem-Solving Skills
Data Engineering
API Integration
ETL/ELT Processes