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Senior Data Platform Engineer at X, bigly labs (Dis-Chem's healthcare innovation hub), hybrid from Melrose Arch, South Africa. Designs, builds, and operates secure, scalable enterprise data platforms for analytics and AI workloads using Databricks, cloud (AWS/Azure/GCP), Terraform, and CI/CD pipelines.
Solutions Engineer supporting enterprise sales across EMEA for Hightouch, a composable customer data / agentic marketing platform. Day to day they partner with account executives to remove technical blockers in deals, run discovery with technical and business stakeholders, and design customer data solutions using cloud warehouses, data modeling, and APIs.
Etteplan is hiring an experienced Data Engineer in Tampere for a flexible hybrid role centered on customer data and analytics projects. Day to day you design scalable data pipelines, build data warehouse and data lake solutions, and deliver reliable datasets for analytics and AI while ensuring data quality, security and maintainability.
Oy Snellman Ab is hiring a Senior Data Platform Engineer in Kerava, Finland to own its data platform, infrastructure, DataOps practices and ELT pipelines. The role delivers reliable, analytics-ready data for business insights and AI initiatives while modernizing the environment and improving developer experience.
GIS Analyst/Specialist II on AECOM's Digital Solutions team in Bengaluru, supporting infrastructure, water, utility, and environmental projects via GIS database development, spatial analysis, cartography, dashboards, and GIS-CAD integration. Core tools: ArcGIS Pro, ArcGIS Dashboards, QGIS, and AutoCAD Map 3D.
A hands-on analyst/product builder on Agoda's new Marketing AI Products team in Bangkok, identifying high-value marketing workflows where generative AI can help, building prototypes with SQL, Python, automation and GenAI tools, and driving them from pilot to adopted, measurable products.
Hands-on analyst on Agoda's new Marketing AI Products team in Bangkok who identifies high-value marketing workflows, builds and evaluates GenAI prototypes using SQL, Python and automation tools, and partners with developers to scale them into adopted AI products. Expect a mix of data analysis, product definition, piloting and rollout of AI-powered marketing solutions.
Growth Product Manager for a client that is an official YouTube partner building SaaS products that help media companies and creators monetize and scale. Day to day: identifying growth opportunities from sign-up to payment, running end-to-end A/B tests, and working with analytics tools like Amplitude, GA4, and Tableau.
Candeno is hiring a Product Analytics Engineer on-site in Aarhus, Denmark, to own the product team's analytics layer: managing the data warehouse, building BI dashboards, and instrumenting product usage and AI interactions, with a focus on data modeling and data quality across Denmark and the Nordics.
A hands-on Data Engineer at Spirii (EV charging, Copenhagen) builds and maintains the data platform and ELT pipelines that deliver quality data into Amazon Redshift on time. Day to day they design scalable pipelines from product backends and third-party services and implement infrastructure-as-code.
Senior Business-oriented Data Analytics Engineer at Ascendis Pharma in Aarhus, translating data into actionable insights across the Drug Development Data Domain. Day to day involves partnering with business stakeholders, designing data products, and ensuring governance and quality using Databricks, dbt, Python, and Power BI.
Ascendis Pharma is hiring a Senior Business-oriented Data Analytics Engineer in Hellerup, Denmark to act as a trusted partner to business stakeholders in Drug Development, turning business needs into data products and insights. Core stack includes Databricks, dbt, Python, T-SQL, DevOps, and Power BI.
Lead the Future of Product Innovation and Operational Excellence Dynamic Research, Inc. (DRI), part of the AB Dynamics Group, is seeking an experienced and hands-on Product Team Lead to drive the successful…
Data Engineer at Spirii in Copenhagen who builds and runs the ELT pipelines and data platform on Amazon Redshift powering analytics for EV charging, subscriptions, and financial transactions. Core stack: SQL, Python, Airflow, Terraform/CDK, and CI/CD with data quality and GDPR governance.
At Capgemini's Global Insights & Data practice, this AI/Data Engineer designs, builds, and operates scalable data platforms, pipelines, and data products supporting analytics and AI use cases for enterprise clients. Core stack includes Python, SQL, Databricks, Snowflake, and cloud platforms (Azure/AWS/GCP).
Senior data platform engineer/consultant at Context& building modern data platforms on Microsoft Fabric with AI integrated. Day to day: owning technical tracks, translating business needs into solutions, advising customers, running workshops and driving delivery. Core stack: Microsoft Fabric, Azure DevOps, CI/CD, Power BI, Python.
Design, build, and operate scalable data platforms and pipelines that power analytics and AI use cases for enterprise clients. Work alongside data product owners and AI/ML specialists on feature engineering, model training, and operationalization while ensuring data quality, lineage, and observability.
A senior full-stack engineer on Ramboll Stakeholder Intelligence's SurveyXact product team builds scalable web-based survey systems day to day with Java, React/TypeScript, GraphQL, and SQL, integrating Grafana and Countly for monitoring and analytics. The role works in an agile Scrum team, contributing to architectural design and technical strategy.
Senior full-stack engineer on Ramboll Stakeholder Intelligence's SurveyXact survey/data-insight platform, working in an autonomous cross-functional Scrum team across the whole development lifecycle. Core stack is Java, React/TypeScript, GraphQL, and SQL, with Grafana/Countly monitoring, JUnit testing, and Danish (B1+) required.
Senior DevOps Engineer on Lunar's Copenhagen-based Matrix squad, building and running Hubble, the bank's internal data platform. Day to day: Kubernetes infrastructure for stateful data workloads (Flink, Kafka, distributed databases), CI/CD and GitOps automation, and observability/reliability tooling.
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