Senior Data Engineer (m/f/x) @ Plan A
placeHybrid
businessHybrid
scheduleFull Time
Posted 12 days ago
Your Application Journey
Interview
Email Hiring Manager
****** @plan-a.com
Recommended after applying
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
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Review AWS service deployment with Terraform.
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Practice Python coding for data pipelines.
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Study cloud data warehouse implementations.
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Brush up on API development frameworks.
Behavioral Questions
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Describe a time you led a project.
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Explain how you handle tight deadlines.
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Discuss a conflict resolution in a team.
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Share an example of proactive problem-solving.
Frequently Asked Questions
What skills are most valued for a Senior Data Engineer at Plan A?
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How important is cloud experience for the Senior Data Engineer role at Plan A?
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Does Plan A offer flexible work arrangements for a Senior Data Engineer?
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What are the career growth opportunities for a Senior Data Engineer at Plan A?
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How does the Senior Data Engineer role at Plan A contribute to climate change?
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Are there mentorship opportunities for new team members at Plan A?
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What technologies will a Senior Data Engineer use at Plan A?
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How does Plan A support work-life balance?
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What type of projects will a Senior Data Engineer work on?
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What makes Plan A's mission unique for a Senior Data Engineer role?
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