Lead backend engineering for Finstro’s Credit Decisioning Engine, owning services from design to production and collaborating with cross-functional teams.
Compensation
Competitive compensation package including superannuation and benefits.
Responsibilities
Build and own services from concept to production
Integrate external and internal systems such as credit bureaus, banking feeds, accounting platforms, identity and fraud providers
Instrument and run services with observability, logs, metrics, tracing, alerting and incident diagnosis
Ensure quality and safe releases with automated testing and clear contracts
Collaborate with Credit and Operations to understand requirements and constraints
Engenheiro(a) IoT / Automação e Digitalização Industrial responsável por integrar e digitalizar sistemas industriais, desenvolver soluções OT/IT, garantir coleta de dados e apoiar a transformação digital da unidade industrial.
Responsibilities
Desenvolver, implementar e manter soluções de conectividade entre PLC, máquinas, robots, sensores, gateways IIoT e plataformas de dados industriais
Assegurar a integração dos dados de produção com sistemas MES, ERP LN e demais sistemas de qualidade, manutenção, energia e rastreabilidade
Desenvolver e manter interfaces e APIs seguras para comunicação e interoperabilidade entre sistemas industriais
Definir e implementar padrões de estruturação de dados industriais, incluindo tags, modelos de dados, regras de contexto e nomenclaturas
Configurar e suportar protocolos de comunicação industrial, nomeadamente OPC UA, MQTT, Modbus TCP/IP, Profinet e interfaces REST/API
Requirements
Formação superior em Engenharia Eletrotécnica, Automação, Mecatrónica, Informática Industrial ou área similar
Growth Data Analyst focused on increasing average orders per day per restaurant partner through data-driven experimentation and analysis across apps, websites, and marketing channels.
Compensation
A salary of DKK59,000/ month
Responsibilities
Own the end-user funnel view across apps and RP websites by country and partner
Run cohort, funnel, and retention analyses to identify leaks in traffic, conversion, and repeat ordering
Turn findings into a ranked backlog of hypotheses with expected impact and effort
Design A/B tests end to end, including hypothesis, success metric, guardrails, sample size, runtime, randomisation unit, and pre-registered analysis plan
Set up tests on apps and RP websites, working with developers on feature flags or variant logic
Requirements
Nice to have: Python or R for statistical analysis
Nice to have: Microsoft Fabric
Nice to have: Power BI
Nice to have: Mobile app experimentation
Nice to have: Web experimentation on multi-tenant sites