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Data & AnalyticsNot provided by source

Analytics Engineer (m/f/d)

Enpal · Not provided by source

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Last seen by MeritLog September 11, 2026Source: ArbeitnowSource version: arbeitnow-job-board-v1

MeritLog read this listing from Enpal's Arbeitnow job board and last checked it on September 11, 2026.

Source: Arbeitnow. Open the original listing for current details.

Job details

Work model
Not provided by source
Salary
Not listed by source
Location
Berlin
Company website
www.enpal.de

Hiring context

How this role compares at Enpal

Enpal has 5 live roles in MeritLog’s catalog across 3 job families, and 2 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Enpal concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What they're asking for

  • 5+ years of experience in business intelligence, analytics, analytics engineering, data engineering or a comparable role.Experience
  • A good understanding of data modelling, data quality and analytical best practices.Skill
  • Practical experience with data engineering concepts, including data pipelines, transformations, SQL/dbt and cloud data platforms.Skill
  • Experience working with modern data warehouses such as Snowflake, BigQuery, Redshift or similar.Skill
  • Knowledge of or hands-on experience with ERP systems such as Microsoft Dynamics 365 or SAP, including their business processes and underlying data.Skill
  • The ability to understand business processes and translate them into effective data solutions.Skill
  • Strong stakeholder-management and communication skills.Skill
  • A structured, proactive and ownership-driven way of working.Skill
  • Experience or strong interest in Agentic AI, LLM-based applications and AI-powered workflow automation.SkillPreferred
  • Hands-on experience developing AI agents, prototypes or automated analytical workflows.SkillPreferred
  • Experience with Python and APIs.SkillPreferred
  • Familiarity with orchestration, version control and software-development practices.SkillPreferred
  • Experience in ERP, Supply Chain Management, Logistics, energy or another operationally complex environment.SkillPreferred
  • Experience supporting senior stakeholders with decision-ready insights.SkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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. Find more English Speaking Jobs in Germany on Arbeitnow

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