Jobs at Enpal GmbH

Design, build, and maintain production dbt models and semantic layer artifacts to provide governed business metrics. Optimize Snowflake performance and data freshness, create certified datasets and dashboards, troubleshoot source data issues, and partner with BI and business teams. Mentor the team and enable AI-assisted analytics workflows.

Support recurring reporting and create dashboards; perform advanced Excel analyses to identify trends and optimization opportunities across the sales funnel; prepare data, run ad-hoc analyses, and help improve processes and operational efficiency.

Evaluate the technical quality of photovoltaic system installations remotely, perform quality checks at every stage, document findings and corrective actions, suggest process improvements, and collaborate with design, installation, and maintenance teams to ensure safety and performance standards.

Record and reconcile supplier and customer invoices, manage AP/AR, prepare payment proposals and purchase orders, maintain ERP financial records, support month-end close, and coordinate with internal teams to ensure timely, accurate financial operations.

Build and maintain the central data platform powering domain Analytics Engineering and BI: evolve dbt platform, enable self-service tooling, manage IaC and GitOps, enforce federated governance and PII handling, add observability/testing, and partner with domain teams to unblock and enable safe, scalable model delivery.

Design and implement automations and scalable workflows; work with data and automation tools; build autonomous agent systems for pricing, market analysis and forecasting; manage projects end-to-end; design data architectures and maintain clear documentation to deliver measurable business impact.

Build, improve, and deploy AI agents and automation workflows for Enpal's energy platform. Convert manual processes to agent-driven flows, debug tool-call issues, collaborate closely with ops and engineers, iterate quickly, and ship reliable, cost-effective agent solutions.

Support identification of new business opportunities and cybersecurity strategic initiatives. Analyze markets, customer needs, and competitors; develop business cases and decision materials; own projects from analysis through implementation.

Support procurement, material planning, and analytics through Excel-based models, data analysis, purchase order processing, supplier coordination, and continuous improvement projects. Own smaller initiatives and assist cross-functional teams to optimize inventory and procurement processes.

Support financial reporting and FP&A by building forecasts, models, dashboards and automations using Snowflake, Airtable, Power BI and Excel; analyze financial and operational data to inform decisions and improve pricing, sales processes, and reporting.

Lead and grow the ERP engineering team to own and evolve Microsoft Dynamics 365 F&O. Drive technical strategy, architecture, integrations, CI/CD, and high-quality delivery across Finance, Operations, and Energy domains.

Lead the design, governance, and evolution of D365FO Finance architecture across modules and legal entities. Translate complex finance requirements into robust, scalable D365FO solutions, drive standardization and global rollouts, guide consultants and developers, and ensure high-quality delivery and solution governance across design, build, testing, cutover, and support.

Build and maintain Postgres (Supabase) backends and Python data pipelines, sync data across Snowflake/Airtable/internal DBs, create internal tools (Next.js optional), analyze data to surface insights, and build and improve production AI agents. Work cross-functionally and manage multiple parallel projects from problem definition through shipping and iteration.

Take end-to-end ownership of backend systems for Metrify Smart Metering: design and build reliable services, integrate external platforms, implement workflow/rule engines, ensure code quality and performance, troubleshoot across environments, and mentor junior developers.

Configure, optimize, and embed Dynamics 365 Finance & Operations into finance and operations; translate business requirements into scalable solutions; lead testing, training, master data management, and user enablement; design cross-functional processes with SCM; manage integrations, change control, and stakeholder communication to improve ERP performance and usability.

Own the end-to-end B2B smart metering product lifecycle: translate regulatory and partner requirements into roadmaps, define APIs and integrations, drive partner onboarding and adoption, track success metrics, and collaborate with Engineering, Billing & Asset, and external partners to scale reliable smart meter operations.

Lead end-to-end SCM process architecture (Demand-to-Order, Procure-to-Pay, Supply Chain Execution), define agentic AI operating models, enforce ERP design standards, manage ERP transformation programs and governance, align cross-functional stakeholders, and mentor process architects to operationalize autonomous agents in the SCM domain.

Own end-to-end supply chain execution process design for inventory, inbound/outbound logistics, warehouse operations, 3PL and returns. Define outcome-oriented business intents for AI agents, enforce system-driven physical movements and serial-number governance, ensure correct COGS postings in D365 F&O, run gap analyses, write BRDs, and serve as cross-functional SCE subject-matter expert to improve stock accuracy and fulfillment performance.

Own end-to-end Demand-to-Order process design in D365 F&O: demand forecasting, pricing, discount rules, and autonomous order generation. Define AI agent intents, perform gap analyses, write BRDs, monitor KPIs, and drive ERP initiatives with cross-functional stakeholders.

Own and enforce master data governance across Customer, Vendor, Product, and Asset domains in D365 F&O. Define governance framework, data quality rules, change processes, and readiness criteria for AI agents. Collaborate with Finance, SCM, Tech and solution architects to resolve data issues, drive automation, and ensure governed data before system changes or go-lives.