Senior Data Engineer (m/f/x)
@ Plan A

Hybrid
Hybrid
Full Time
Posted 12 days ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX****** @plan-a.com
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Job Details

About Plan A

Plan A is on a mission to decarbonise a million businesses in the coming years using advanced science and technology. With clients like BMW, Mollie, Sorare, GANNI, Chloé and N26, we offer software for carbon accounting, decarbonisation and ESG reporting.

Role Overview - Senior Data Engineer

This role supports our mission by developing scalable data pipelines, storage solutions, and advanced data architectures that underpin our carbon accounting and decarbonisation objectives.

Key Responsibilities

  • Develop and maintain scalable data pipelines and storage solutions.
  • Design complex data models and efficient data transformations.
  • Implement AI-driven features for data exploration and anomaly detection.
  • Own projects including code reviews, documentation, and mentoring.
  • Deploy AWS services using IaC technology like Terraform.
  • Optimize databases with techniques such as partitioning and indexing.
  • Work with cloud data warehouses and BI solutions.
  • Build and document APIs using FastAPI or Flask.
  • Leverage modern AI technologies including LLMs and vector databases.

What You Can Expect

You will contribute to major climate action efforts, collaborate in a cross-functional team, and engage in a supportive environment that enables career growth. Enjoy flexible work arrangements, generous vacation and remote working policy, and additional benefits.

Key skills/competency

  • Data Pipelines
  • Data Modeling
  • AWS
  • Terraform
  • Python
  • API Development
  • Cloud Warehousing
  • AI Technologies
  • Database Optimization
  • Agile Methodologies

How to Get Hired at Plan A

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize AWS and Python expertise.
  • Research Plan A: Understand their climate mission and products.
  • Highlight relevant projects: Showcase cloud and AI experience.
  • Practice technical interviews: Focus on data engineering scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review AWS service deployment with Terraform.
Practice Python coding for data pipelines.
Study cloud data warehouse implementations.
Brush up on API development frameworks.

Behavioral Questions

Describe a time you led a project.
Explain how you handle tight deadlines.
Discuss a conflict resolution in a team.
Share an example of proactive problem-solving.

Frequently Asked Questions