ACCURE Battery Intelligence

Senior Data Engineer / Cloud Engineer

ACCURE Battery Intelligence

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇪🇺 Anywhere in Europe

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Job Level

Senior

Tech Stack

AWSCloudDynamoDBEC2ETLKubernetesNoSQLPandasPostgresPythonSQL

About the role

  • Own and evolve data architecture: Take end-to-end ownership of ACCURE’s data infrastructure design.
  • Lead development of core data services: Design, implement, and optimise key data services and pipelines.
  • Shape best practices and standards: Define engineering standards for data quality, architecture, and automation.
  • Drive cloud infrastructure excellence: Operate and enhance AWS infrastructure.
  • Collaborate strategically: Work cross-functionally with Platform, Battery Analytics, and Customer Success teams.
  • Influence technical direction: Identify technical debt and help shape ACCURE’s long-term data platform roadmap.

Requirements

  • Demonstrated experience designing and evolving data architectures for scale
  • Confident in operating core AWS services (S3, Aurora, RDS, IAM, EKS, EC2, etc.)
  • Strong Python background with sound design principles, testing culture, and CI/CD automation
  • Proven track record in building robust ETL/ELT systems, working with Pandas and modern data lake or warehouse patterns.
  • Proven experience deploying and scaling applications on Kubernetes (preferably EKS)
  • Practical experience in automating workflows, testing, and observability
  • Strong SQL skills with experience in relational (PostgreSQL), NoSQL (DynamoDB), and time-series databases
  • Fluent in English
Benefits
  • Trust-based, flexible working hours
  • 30-day vacation entitlement
  • Rose Monday as an extra day of holiday
  • Performance-based compensation plan
  • Opportunity to work from home or a co-working space
  • Two 5-day company onsites per year
  • Personal development plan and budget

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data architectureAWSPythonETLELTKubernetesSQLPostgreSQLDynamoDBdata lake
Soft skills
collaborationleadershipinfluencecommunication