Data Engineer

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Circu Li-ion

WebsiteLinkedInAll Job Openings

11 - 50 employees

🚘 Automotive

📦 Logistics

⚡ Energy

💰 Grant on 2024-09

Automotive • Logistics • Energy

Circu Li-ion is a European battery upcycling company focused on revolutionizing the battery value chain through automation. Our mission is to save the planet by boosting the value of each battery. We provide technology for the disassembly of batteries and the diagnostics of cells, promoting economical and ecological battery recycling. Our Machine-as-a-Service solution enables used batteries to be upcycled, offering a sustainable alternative to traditional recycling methods, particularly for sectors such as electric vehicles, micro-mobility, power tools, and energy storage systems.

📋 Description

• Maintain, extend, and lead the evolution of the data lake architecture • Create data pipelines that ingest granular, near real time machine telemetry and publish it to the data lake • Create and update queries based on machine data to provide insights on performance and other metrics • Maintain clean data sets with data quality controls for consumption by business teams • Own and administer cloud platforms and accounts hosting data and data-intensive applications • Work with software engineers to ensure appropriate system instrumentation so all data outflows are captured • Set up alerts and mechanisms to proactively identify data issues or metric deviations

🎯 Requirements

• 3+ years of Python data engineering experience • Production ETL/ELT pipelines and data services in Python • Sound engineering practices including Git, code review, testing, and linting • Expert PostgreSQL and analytical SQL • Strong data modeling for analytics • Hands-on AWS experience with S3, Lambda, Glue, Athena/Presto • Experience with Azure, such as Blob Storage • Secure credential and IAM management across environments • Event-driven and message-queue pipelines • Incremental sync patterns • REST API connectors to SaaS systems such as HubSpot and ClickUp • MongoDB document-data modeling and querying • Operating MongoDB Atlas across environments • Safe data migrations • Building and maintaining Airtable solutions • Migrating Airtable solutions to more robust databases as data scales • Data validation and consistency checks across systems • Production-data backfills and cleanup • Building BI dashboards; Metabase preferred, with Streamlit, Superset, Power BI, or Tableau acceptable • Docker and Linux for containerized services • GitHub Enterprise administration and access governance • Fluent with AI developer tools such as Claude and GitHub Copilot • Metrics and alerting with Prometheus, Grafana, and node exporter • CloudWatch alarms for cloud workloads

🏖️ Benefits

• High degree of collaboration and autonomy • Transparent culture where everyone is highly valued • Development of your professional skills and knowledge by taking ownership of challenging tasks and responsibilities, supported by leads and peers • “Getting things done” attitude • Access to cutting edge technologies • Complementary Health Insurance