Analytics Engineer (gn)
About LichtBlick:
Working model: Remote within Germany, with planned presence at our Hamburg office, particularly for team events and key alignment meetings
Part-time or full-time (From 35 hours per week / 39-hour work week)
For more than 25 years, LichtBlick has been driving the energy transition. What started as a pioneer in green electricity has grown into an integrated energy provider with its own generation assets as well as solar, mobility, and heating solutions. Every day, we continue to develop future-oriented energy solutions that combine economic success with social responsibility.
For good energy in Technology.
In a decentralized setup, who provides technical support, tools, and training to the domains? Who makes sure transactions are compliant and efficient? Who monitors and reports on the overall health of data operations?
Central Data does. Our work focuses on 4 areas:
Data Platform - enable data nerds by providing a modern, easy to use and robust data stack
Data Governance - ensure secure and efficient data operations
Data Literacy - improve intelligent decision-making
Machine Learning & AI Program - promote AI usage and contribute to LichtBlick’s Strategic AI Program as one of its workstreams
Your Roll:
In our decentralized data setup, the Central Data team enables business-aligned data experts through our self-service platform, governance, and shared standards. As a Senior Analytics Engineer, you develop scalable data models and transformation logic for complex, strategic, and cross-functional requirements. You connect Central Data with the data-owning domains and establish consistent analytics standards across LichtBlick.
Develop and evolve our analytics solutions
- Take ownership of complex data models and transformation logic and translate business requirements into consistent, scalable, and reusable data structures
- Develop central data models further and ensure their quality, consistency, and long-term usability
- Build end-to-end analytics pipelines for datasets owned by Central Data using modern, version-controlled transformation practices
- Define shared standards and best practices for data modelling, KPI logic, semantic models, and analytical architecture
- Support other engineers with guidelines, monitoring, and hands-on expertise when solving complex modelling challenges
Advance AI-supported analytics engineering
- Define and establish best practices for the responsible and scalable use of AI in analytics engineering
- Evaluate risks related to AI-supported data modelling, including semantics, performance, governance, and data quality
- Test new technologies and methods, assess their value, and support their sustainable introduction
Connect teams and establish shared standards
- Stay in close contact with analysts, engineers, and stakeholders in the data-owning domains and translate complex requirements into viable solutions
- Drive alignment across teams on KPI definitions, data structures, and analytical standards
- Ensure compliance with data governance requirements and create transparency around dependencies and priorities
Your Skills:
What’s essential for this role:
- You have a degree or equivalent practical experience in Analytics Engineering or other Analytics-centric fields
- You have 5+ years of experience in the Analytics field and high professional maturity
- You feel equally comfortable with and have hands-on expert knowledge of modern BI and data transformation tools
- You use AI tools in your daily work and have ideas or first experience with agentic analytics
- You have practical experience with, and a genuine interest in, data governance, ideally in a decentralized or data mesh-like environment
- You enjoy working and communicating with teammates, colleagues, and stakeholders alike
- You speak up for your beliefs in professional discussions, stay open to better arguments, and keep the bigger picture in mind
- You follow new trends because you can't help it, and you're always up for learning something new
- You communicate clearly and confidently in English, and you can explain complex topics to technical and non-technical audiences alike
We’d be even more energized if you also bring:
- German is a plus
Our Benefits:
- A modern loft office right next to Hamburg Central Station
- Mobility allowance, choose between bike leasing or the Germany Ticket
- Childcare subsidy
- Discounted employee electricity tariff for your home
- Recurring sabbatical opportunities and the option to work remotely from another location through our Workation program
- Free access to our in-house gym
- Pluxee Benefits Pass and Corporate Benefits program
- And much more to discover
Our Recruiting Process:
**AI in the Application Process: In certain stages of our recruitment process, we may use AI-supported tools to assist with the structuring, pre-screening or processing of incoming applications. These tools are used solely to support our Talent Team and do not replace human review.No decisions regarding your application are made solely by automated means. In particular, invitations, rejections and any other decisions about the outcome of your application are always reviewed and made by responsible team members.We are committed to using AI responsibly by critically assessing AI-generated outputs, ensuring transparency and minimizing the risk of bias or discrimination. Whenever AI is used as part of the process, we will inform you accordingly and provide information about your rights.
