Analytics Engineer (m/f/d)

Enpal; Berlin; Vor Ort; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

Enpal in Berlin is seeking a (Senior) Analytics Engineer to turn complex business questions into reliable data solutions. You will own analytics projects from requirements through data modeling and delivery, collaborating with stakeholders across ERP, SCM, and logistics, and leveraging a modern AI toolkit to accelerate impact.

You will build scalable data models and pipelines using SQL and dbt, ensure data quality, and communicate findings to both technical and non-technical audiences.

Qualifikationen

• 5+ years in BI, analytics, analytics engineering or data engineering.

Aufgaben

• Partner with business stakeholders to understand objectives and analytical needs.
• Translate requirements into scalable data models and analytical solutions.
• Take end-to-end ownership of analytics projects, including scoping, prioritisation, delivery and stakeholder communication.
• Build and maintain reliable data models and transformations using SQL and dbt.
• Design scalable, business-ready data models that provide a trusted foundation for decision-making.
• Ensure data quality, consistency and transparency across analytical products.
• Own new data integrations in the ERP and SCM domain, working with data engineers and business teams.
• Identify opportunities to simplify or automate recurring reporting and operational workflows.
• Leverage Agentic AI and LLM-based tools to deliver high-quality data products efficiently.
• Communicate progress, risks, dependencies and recommendations clearly to technical and non-technical audiences.
• Contribute to analytics standards, documentation and knowledge sharing across the team.

Kenntnisse

Analytics engineering

Data modeling

SQL

dbt

Stakeholder management

Data warehousing

Tools

Snowflake

BigQuery

Redshift

Python

APIs

ERP systems (Dynamics 365/SAP)

Jobbeschreibung

About the role

We are looking for a (Senior) Analytics Engineer to join our team. In this role, you will work closely with stakeholders across ERP, Supply Chain Management, Logistics to turn complex business questions into clear, reliable and actionable data solutions.

You will take ownership of analytics projects from initial requirements through data modelling and delivery. The role combines stakeholder management, business analysis, hands-on analytics and modern data engineering, with an advanced Agentic AI toolkit at hand to help you deliver high-quality data products efficiently.

Your responsibilities

• Partner with business stakeholders to understand their objectives, processes and analytical needs.

• Translate business requirements into scalable data models and analytical solutions.

• Take end-to-end ownership of analytics projects, including scoping, prioritisation, delivery and stakeholder communication.

• Build and maintain reliable data models and transformations using SQL and dbt.

• Design and develop scalable, business-ready data models that provide a trusted foundation for decision-making.

• Ensure data quality, consistency and transparency across analytical products.

• Own new data integrations in the ERP and SCM domain, working closely with data engineers and business teams from source onboarding through production.

• Identify opportunities to simplify or automate recurring reporting and operational workflows.

• Leverage Agentic AI and LLM-based tools to deliver high-quality data products efficiently.

• Communicate progress, risks, dependencies and recommendations clearly to both technical and non-technical audiences.

• Contribute to analytics standards, documentation and knowledge sharing across the team.

What you bring

• 5+ years of experience in business intelligence, analytics, analytics engineering, data engineering or a comparable role.

• A good understanding of data modelling, data quality and analytical best practices.

• Practical experience with data engineering concepts, including data pipelines, transformations, SQL/dbt and cloud data platforms.

• Experience working with modern data warehouses such as Snowflake, BigQuery, Redshift or similar.

• Knowledge of or hands-on experience with ERP systems such as Microsoft Dynamics 365 or SAP, including their business processes and underlying data.

• The ability to understand business processes and translate them into effective data solutions.

• Strong stakeholder-management and communication skills.

• A structured, proactive and ownership-driven way of working.

Nice to have

• Experience or strong interest in Agentic AI, LLM-based applications and AI-powered workflow automation.

• Hands-on experience developing AI agents, prototypes or automated analytical workflows.

• Experience with Python and APIs.

• Familiarity with orchestration, version control and software-development practices.

• Experience in ERP, Supply Chain Management, Logistics, energy or another operationally complex environment.

• Experience supporting senior stakeholders with decision-ready insights.

What we value

You do not need to be an expert in every technology from day one. We value curiosity, sound analytical judgement and a willingness to learn. You should enjoy understanding complex problems, collaborating with different teams and building solutions that create measurable business value.