Application Guide

How to Apply for Senior Engineer, Data Engineering

at Landis+Gyr

🏢 About Landis+Gyr

Landis+Gyr is a global leader in energy management solutions, driving the transition to a smarter, more sustainable grid. With a focus on reducing environmental footprints, the company combines cutting-edge technology with a mission to empower utilities and consumers worldwide. Working here means contributing directly to energy efficiency and climate action.

About This Role

As a Senior Data Engineer, you will design and implement scalable data solutions on Google Cloud Platform for utility clients, enabling smarter grid operations. You'll build real-time and batch data pipelines, leveraging tools like BigQuery and Dataflow to transform how energy data is processed and analyzed. Your work directly supports the company's mission of energy efficiency and sustainability.

💡 A Day in the Life

Your day might start with a stand-up to discuss pipeline status with the team, then dive into designing a new data flow in Dataflow or optimizing BigQuery queries for faster analytics. You'll collaborate with utility stakeholders to understand data requirements, troubleshoot production issues in Airflow DAGs, and review data quality reports to ensure accurate insights for grid operations.

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Interview Prep

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🎯 Who Landis+Gyr Is Looking For

  • Expert in Google Cloud data products (BigQuery, Dataflow, Dataform, AI Building Blocks, Looker) with hands-on experience building production pipelines.
  • Strong background in MDM, metadata management, data quality, and data lineage tools, ensuring trustworthy data for critical energy decisions.
  • End-to-end data engineering lifecycle experience, from requirements gathering to operations, including handling non-functional requirements like scalability and reliability.
  • 4-6 years total experience with at least 3 years as a Data Engineer, comfortable with real-time and batch processing using Pub/Sub, Composer, and Airflow.

📝 Tips for Applying to Landis+Gyr

1

Highlight specific Google Cloud certifications (e.g., Professional Data Engineer) and projects where you used BigQuery and Dataflow at scale.

2

Tailor your resume to emphasize MDM, data quality, and lineage experience—use keywords like 'data governance' and 'metadata management'.

3

In your cover letter, connect your data engineering work to real-world impact, such as improving energy efficiency or reducing carbon footprint.

4

Showcase experience with streaming data pipelines (Pub/Sub) and orchestration (Airflow/Composer) as these are explicitly mentioned.

5

Research Landis+Gyr's sustainability initiatives and mention how your skills align with their mission of empowering a smarter grid.

✉️ What to Emphasize in Your Cover Letter

["Emphasize your hands-on expertise with Google Cloud data products and how you've used them to solve complex data challenges.", 'Mention your experience with MDM, data quality, and lineage to demonstrate you can ensure data trustworthiness for critical utility applications.', 'Connect your data engineering work to sustainability—explain how your pipelines help reduce energy waste or enable smarter grid decisions.', 'Highlight your ability to manage the full data lifecycle, from design to operations, ensuring reliable and scalable solutions.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read about Landis+Gyr's grid modernization solutions and their impact on energy efficiency—understand their key products like Gridstream.
  • → Explore their sustainability reports and commitments to net-zero emissions to align your application with their mission.
  • → Review their use of Google Cloud; look for case studies or press releases about their data initiatives in the energy sector.
  • → Understand the utility industry's data challenges (e.g., smart meter data volume, regulatory requirements) to speak their language.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe a complex data pipeline you built on Google Cloud using BigQuery and Dataflow; how did you handle scalability and cost?
2 How do you approach data quality and lineage in a real-time streaming environment? Give an example using Pub/Sub.
3 Explain your experience with MDM and metadata management tools; how do you ensure consistent master data across systems?
4 Walk through how you would design a data solution for a utility client to process smart meter data in near real-time.
5 How do you balance non-functional requirements like latency, reliability, and security when building data pipelines?
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⚠️ Common Mistakes to Avoid

  • Don't generalize your experience—avoid vague terms like 'big data'; be specific about Google Cloud tools and real-world projects.
  • Don't ignore the MDM/data quality requirement; failing to mention it suggests you lack critical skills for this role.
  • Don't apply without tailoring your resume to the energy/utility context; generic data engineering resumes get overlooked.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Landis+Gyr!

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