Enpal
Enpal
1,001 – 5,000 Employees
B2CEnergy
Enpal is a German residential solar company that helps homeowners adopt photovoltaic energy through a single, coordinated service. Its purchase and rental plans can combine solar panels with battery storage, an EV wallbox, a heat pump and an app, with installation handled by regional teams. Enpal’s turnkey model brings financing options, equipment and installation together, aiming to make the move to home solar simpler. The company operates in Germany’s B2C energy market and hires across a workforce of 1,001–5,000 employees.

Senior BI & Data Analytics Team Lead at Enpal

Lead Enpal’s international analytics team and shape data products for its integrated solar, storage, and energy platform. Build trusted models, governed metrics, and reliable reporting across the business.

Description

  • Lead and develop an international BI and Data Analytics team across EMEA.
  • Create a motivating team culture built on accountability and adaptability.
  • Build clean, documented dbt datasets from staging through marts.
  • Manage data tests, documentation, metric definitions, contracts, and version control.
  • Create a semantic layer with governed metrics and dimensions.
  • Promote dbt best practices and prepare models and documentation for AI-powered analytics.
  • Help investigate source data issues and reconciliation discrepancies.
  • Establish a trusted, centralized source of data.
  • Contribute to data migrations, ELT pipelines, and platform consolidation.
  • Improve Snowflake performance, data freshness, and quality.
  • Maintain and strengthen processes that keep the data platform dependable.
  • Use Python to build data checks, automation, and utilities.
  • Work with BI and business teams on certified datasets, self-service practices, and end-to-end reporting.
  • Turn business needs into scalable data products and governed metrics.
  • Convert priorities into project plans, surface risks and trade-offs, remove blockers, and deliver projects.
  • Coach the team in analytics engineering practices, modern tools, and AI-assisted development.

Requirements

  • At least three years in analytics engineering, BI development, data engineering, or a related area.
  • At least one year leading people or teams.
  • Expert SQL skills.
  • Strong data modeling and architecture expertise, including star schemas, semantic layers, governed metrics, data contracts, and ELT pipelines.
  • Practical experience building production dbt projects, including layered models, testing, documentation, ownership, and version control.
  • Experience with Snowflake, including query optimization, data freshness, and quality monitoring.
  • Python skills for data checks, automation, and utilities.
  • Experience with data quality and operations, including testing, monitoring, source reconciliation, CI/CD, cataloging, and cost and performance tuning.
  • Experience building dbt models and documentation, AI-ready data products, and using AI-assisted development tools.
  • Experience delivering certified datasets, self-service standards, and complete BI or reporting solutions.
  • Strong communication and stakeholder management skills.
  • A hands-on, enterprising approach to solving problems.
  • An encouraging leadership style, enthusiasm for change, and confidence in questioning assumptions and making decisions.
  • Experience with semantic layer tools such as dbt MetricFlow or Snowflake Semantic Views is an advantage.
  • Experience with AWS, Azure, or Google Cloud is an advantage.
  • Experience leading distributed or international teams is an advantage.
  • German language skills are a strong advantage but are not required.

Benefits

  • Hybrid work arrangement.
  • Option to work abroad for up to 30 days per year through Workflex, depending on role responsibilities.
  • Modern Berlin-Friedrichshain office with adjustable desks, table tennis, stocked drinks fridges, and barista coffee.
  • Onboarding day with a welcome bag and buddy program.
  • Transparent all-hands meetings.
  • Fast decision-making.
  • Open feedback culture.
  • Team events.
  • 29 vacation days plus two additional days.
  • Discounted Wellhub membership.
  • Corporate benefits.
  • A diverse team representing more than 65 nationalities.
  • A safe workplace with action against discrimination and harassment.

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