Analytics Engineer (gn) Tech | Berufserfahrene | vom 20.10.2026 Hamburg, Full Remote (Deutschlandweit)

Lichtblick; Hamburg; Hybrid; EUR 70,000 - 110,000; Part time

Benefits offered by this job

Mobility allowance

Workation program

Free in-house gym access

Discounted employee electricity tariff

Job summary

LichtBlick is seeking a Senior Analytics Engineer to design scalable data models and transform logic across diverse domains. The role connects Central Data with data-owning teams, establishing consistent analytics standards and governance.

You will build end-to-end pipelines and advance AI-enabled analytics for strategic initiatives. Join a decentralized data environment with hybrid office presence in Hamburg, German work flexibility, and opportunities to contribute to LichtBlick’s AI program

Qualifications

• Degree or equivalent practical experience in Analytics Engineering or related field.
• 5+ years of experience in Analytics with strong business impact.
• Hands-on knowledge of modern BI and data transformation tools.
• Use of AI tools in daily work and experience with agentic analytics desired.
• Interest in data governance in decentralized or data mesh environments.
• Excellent communication with teammates and stakeholders.

Responsibilities

• Develop and evolve analytics solutions for cross-functional teams.
• Own complex data models and transformation logic translating business needs.
• Advance central data models for quality and long-term usability.
• Build end-to-end analytics pipelines with modern, version-controlled methods.
• Define shared standards for data modeling, KPI logic, and analytics architecture.
• Support engineers with guidelines and hands-on expertise for complex challenges.
• Promote AI-enabled analytics and establish responsible AI practices.
• Ensure governance compliance and transparency across dependencies.

Skills

Analytics engineering

BI tools

AI tools

Data governance

Stakeholder communication

Education

Analytics degree

Tools

SQL

Python

Airflow

Job description

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.

Working model: Remote within Germany, with planned presence at our Hamburg office, particularly for team events and key alignment meetings

LichtBlick is looking for you. Starting now. On a part-time or full-time basis with a permanent contract. 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
• Machine Learning & AI Program - promote AI usage and contribute to LichtBlick’s Strategic AI Program as one of its workstreams.

Your Role:

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
• A modern loft office right next to Hamburg Central Station
• Mobility allowance, choose between bike leasing or the Germany Ticket
• 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 is transparent, respectful and designed to keep you informed every step of the way. Once we receive your application, we'll get back to you promptly and keep you updated on the next steps throughout the process.