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A junior frontend developer role at Salling Group in Aarhus, building and maintaining retail and e-commerce applications for store brands like Bilka, Føtex, and BR. The hire works on low-to-medium complexity tasks across the full development lifecycle while learning best practices under experienced mentors.
Junior-leaning frontend developer role in Aarhus, Denmark, building retail and e-commerce applications for Danish brands like Bilka, Føtex, and BR. The hire works on low-to-medium complexity tasks across the full dev cycle under close mentorship from senior developers.
FoodOp is hiring a Senior Backend Developer in Copenhagen to build a digital assistant for professional kitchens used by 700+ chefs. You'll own backend features end-to-end, evolve architecture and scalability, and mentor developers in a Python/Flask stack with Postgres, Elasticsearch, Redis, and Azure Kubernetes Service.
A Python developer/data scientist to co-build an NDT (non-destructive testing) project alongside the current team and then take long-term ownership — maintaining the codebase, collecting data, retraining models, and adapting the system to changing business requirements. Core stack: Python, MLflow, Git, with classical ML and REST/FastAPI.
Backend/infrastructure engineer at HCLTech Denmark working on the NDT platform: migrating the data layer to a (semi-)structured database and moving model inference from Databricks to a Kubernetes GPU cluster. Day to day you own infrastructure design, drive migrations with the team, and build scalable, production-grade Python REST services with SQLAlchemy.
Join IN Groupe Denmark's MitID team to design, maintain, and optimize the enterprise data warehouse and its data processes, delivering reliable and scalable data solutions across development, QA, and production. Core focus is hands-on data engineering, data warehousing, and SAP BusinessObjects (SAP BO).
Senior Data & Platform Engineer at Saxo (Denmark) building AML data products and scalable, compliant production data pipelines in the FCP Modelling & Development team. Day-to-day work centers on Python, SQL, Spark and modern data platforms, owning data quality, security and production readiness with CI/CD, containerization and Kubernetes, partnering with AML experts.
Senior Software/Data Engineer on Saxo's Financial Crime Prevention (FCP) Modelling & Development team in Copenhagen, building and operating AML data products, ETL pipelines, and automated data processes. Core stack is Python, SQL, and Spark on platforms like Databricks, Airflow, Snowflake, and Azure, with CI/CD and Kubernetes for production deployment.
SEGES Digital (part of SEGES Innovation) is hiring a Data Engineer with 3+ years of experience to develop, maintain, and run data pipelines, data models, and platform components on its Databricks/Azure-based DataEstate platform, serving internal teams and Danish agricultural advisors. Day to day: platform development, operations, and AI-assisted engineering.
A system/data engineer supports and optimizes Atlas data ingestion for a major offshore wind farm in Denmark, focusing on data management, automation, and scalable processes to ensure high-quality measurements. Day to day involves collaborating with engineers and SMEs, building training material, and shaping AI-enabled data workflows.
Speechify is hiring a Software Engineer to build large-scale data collection and ingestion pipelines for AI model training, extending cloud infrastructure on GCP and working with scientists to optimize cost, throughput, and data quality. Core stack: Python/Bash, Docker, and Terraform.
Builds and maintains Azure-based cloud infrastructure and CI/CD pipelines for Coach Solutions' SaaS shipping software, acting as the bridge between development and operations. Core stack: AKS, Azure DevOps, Terraform/Pulumi (IaC), GitOps (ArgoCD/Flux), and monitoring with Grafana and Azure Monitor.
Senior full-stack software developer joining Dalux's Box Collab team in Copenhagen. They will own complex features from idea to production, contribute to architectural decisions, improve existing codebases, and drive AI-assisted development practices across the team.
Coach Solutions is hiring a Platform & DevOps Engineer in Denmark to design, build, and maintain Azure-based infrastructure and CI/CD pipelines for its SaaS platform, implementing IaC practices and embedding security, reliability, and automation while collaborating with developers and QA.
DevOps engineer who designs, builds, and operates a cloud-native platform on Microsoft Azure, giving development teams the infrastructure and self-service tools to deploy and run applications safely and reliably. Core stack includes Terraform (IaC), Azure Kubernetes Service, Flux CD GitOps, and GitHub Actions CI/CD.
Application specialist/SRE in the DevOps section of PET (Danish Security and Intelligence Service): you run, maintain, and modernize mission-critical internal applications, moving operations from manual routines toward SRE practices with containers, Kubernetes, CI/CD, monitoring, and incident response.
On-site full-stack developer in Odense, Denmark joining an experienced team to build a new product launching in 2026, working across web apps and backend services on a TypeScript stack. Core tech: Angular, Firebase, and serverless backends (Cloud Functions/AWS Lambda) processing thousands of transactions daily.
Full-stack developer at Airwallet in Odense, Denmark, joining an experienced team to shape a new product launching in 2026. Day-to-day work spans web apps and backend services built with TypeScript and Angular, on-site, with real influence over architecture and technical decisions.
An experienced developer joins a small proprietary power-trading firm in Aarhus to own whole systems of its in-house trading platform — market-data ingestion, algorithmic execution, the trader terminal, settlement and quant tooling — built with Kotlin/Spring Boot, PostgreSQL/TimescaleDB, React/TypeScript and Python, working directly with traders end to end.
Backend/infrastructure Python developer role at HCLTech supporting an NDT platform: migrate the data layer from blob storage into structured databases (PostgreSQL/Snowflake via SQLAlchemy) and move model inference from Databricks onto a Kubernetes GPU cluster, while tuning performance, potentially adding OAuth/Grafana, and documenting architectural decisions with the existing team.
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