Analytics Engineer (m/f/d)

Enpal; Berlin (NH); On-site; USD 120,000 - 160,000; Full time

Job summary

Enpal is seeking a Senior Analytics Engineer to collaborate with stakeholders across ERP, SCM, and logistics to convert complex business questions into reliable data solutions. You will own analytics projects from requirements through data modelling and delivery, using an advanced Agentic AI toolkit to accelerate work.

This role emphasizes data modelling, data quality, end-to-end ownership, and building scalable data models with SQL and dbt.

Qualifications

• 5+ years in BI, analytics, or data engineering.
• Strong data modelling and data quality knowledge.
• Experience building data pipelines with SQL/dbt.
• Experience with Snowflake, BigQuery, or Redshift.
• Knowledge of ERP systems such as Dynamics 365 or SAP.
• Ability to translate business needs into data solutions.

Responsibilities

• Partner with stakeholders to understand objectives and analytical needs.
• Translate requirements into scalable data models and solutions.
• Own analytics projects from scoping to delivery and communication.
• Build and maintain reliable data models and transformations with SQL/dbt.
• Design scalable data models for trusted decision-making.
• Ensure data quality and transparency across analytics products.
• Own ERP/SCM data integrations from onboarding to production.
• Identify opportunities to automate reporting and workflows.
• Leverage Agentic AI to deliver high-quality data products efficiently.
• Communicate progress, risks, dependencies to technical and non-technical audiences.
• Contribute to analytics standards and knowledge sharing.

Skills

Data modelling

Data quality

Analytical best practices

Stakeholder management

Communication

Ownership

Tools

SQL

dbt

Snowflake

BigQuery

Redshift

Microsoft Dynamics 365

SAP

Job description

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.