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Leads the data engineering team at SIRA within the NSW Department of Customer Service, providing hands-on technical leadership for analytics platforms, data ingestion frameworks, and ETL/ELT pipelines. Core stack includes Snowflake, BigQuery, Redshift, AWS/Azure/GCP, Talend, Airflow, Dagster, Python, Java, and SQL.
Senior Data Analyst at Coupang designs scalable data pipelines and analyzes catalog-related eCommerce data using SQL, Python, and modern data warehouses like Snowflake or BigQuery.
Senior Data Analyst designs data pipelines and warehouses for Coupang’s eCommerce catalog, blending business analysis with Python, SQL, and Snowflake/BigQuery to deliver insights and scalable analytics.
As a Fabric Analytics Engineer in Vincit's data practice in Helsinki, you design, develop and implement modern data lakehouse and reporting solutions for a diverse portfolio of Finnish customers using Microsoft Fabric and Power BI. Day to day you advise customers on content distribution best practices and help ensure governance across analytics projects.
Site Reliability Engineer on SEB's Data & AI Platform Foundation team in Stockholm, building and operating a reliable large-scale data platform — batch processing, workflow orchestration, monitoring, and hybrid cloud integration with GCP. Core stack: Linux, Python/bash, cloud engineering, and an automation-first DevOps/SRE mindset.
Senior Data Platform Engineer at Smartly in Helsinki builds a governed data platform for sharing data across services, analytics, and AI/ML — publishing data contracts, schemas, and lineage. Day to day involves working with PostgreSQL, Debezium CDC, and Kafka, plus building GitOps workflows and self-service tooling.
Join SEB's Data, Analytics and Reporting team to design, build, and maintain scalable cloud-native data pipelines and platform capabilities on GCP for reporting and analytics, using Python, SQL, Airflow, and CI/CD, while exploring AI/LLM-driven automation and enabling other teams to build data products.
SEB is hiring a data and analytics engineer to design, build, and maintain scalable cloud-native data pipelines on Google Cloud Platform, covering ingestion, orchestration, transformation, and monitoring. The role also drives CI/CD and automation improvements to deliver reliable data products for reporting and analytics.
Luxoft is hiring an Azure Data Engineer to support a large-scale Mainframe-to-Azure migration program. The role involves designing scalable data solutions and ETL/ELT pipelines using Azure PaaS services such as Data Factory, Databricks, Synapse Analytics, and Data Lake Storage.
Pre-sales Solution Architect at RetailNext acting as the technical lead for Asset Protection sales: running discovery, delivering demos, scoping technical infrastructure, and answering hard technical questions for retail loss-prevention prospects. Core areas: IP networking, camera/video systems, POS integrations, and cloud video analytics.
Procure fertilizer for smallholder farmers in East Africa, using data-driven sourcing strategies and supplier partnerships to ensure timely, cost-efficient delivery.
Senior Data Engineer building an AI-powered analytics 'Intelligence Layer' on Databricks for a travel/aviation client: designing governed data pipelines, Metric Views, and Genie Agents for conversational analytics, plus multi-agent orchestration with MLflow tracing. Core stack: Databricks, Unity Catalog, SQL, Python, MLflow.
Hands-on technical lead on Novo Holdings' Data & Analytics team in Copenhagen, architecting, building, and running the company's data platform — pipelines, transformations, CI/CD, and near-real-time delivery — using Azure, Databricks, dbt, Terraform, Python/PySpark, and Azure DevOps, while owning delivery and stakeholder collaboration.
A hands-on technical lead role on Novo Holdings' Data & Analytics team in Copenhagen: design, build, and operate the company's Azure/Databricks data platform, including data pipelines with dbt and PySpark, Terraform infrastructure, CI/CD via Azure DevOps, and near real-time delivery supporting sourcing, due diligence, and portfolio management.
Senior Data Engineer at Maersk in Denmark who designs, builds, and operates scalable data products and pipelines powering business insights and AI-enabled decision-making. Day to day involves orchestration, data quality, productionized data solutions, and translating stakeholder needs into robust data models alongside analytics and AI/ML teams.
Data Engineer at ECCO, the Danish footwear company, building and operating scalable enterprise data pipelines and the analytics platform. Day to day you design, deploy and maintain data workflows using Python, SQL, Airflow, dbt and Terraform, with a focus on data quality, performance, observability and documentation.
Senior Data Engineer at Maersk's Data & AI organization in Copenhagen, designing, building, and operating scalable data pipelines, governed datasets, and self-service analytics that power insights and AI-enabled decision making across the company.
Senior Data Engineer at Maersk designs, builds, and operates scalable batch/streaming data pipelines, governed data products, and analytics foundations using SQL, Python, PySpark, cloud data platforms, and orchestration tooling — enabling BI, self-service analytics, and AI/ML use cases across the enterprise.
Senior Data Engineer at A.P. Moller - Maersk (Denmark) designs, builds, and operates scalable batch and streaming data pipelines, governed datasets, and data products that power BI, analytics, and AI/ML use cases. Core stack includes SQL, Python, PySpark, cloud data platforms, and orchestration/DataOps tooling.
Data Engineer in ECCO's Data & AI tech hub in Copenhagen, building and operating the enterprise data platform: designing, deploying and maintaining scalable data pipelines, validation checks, warehousing and monitoring to power analytics and AI use-cases. Core stack includes Python, SQL, Airflow, dbt and Terraform.
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