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Job Overview Asst Manager/Manager, Digital Data Delivery – Consumer/Media/Cross commercial analytics is a pivotal role dedicated to building and scaling the core data foundation that fuels our global reporting and…
Nordea is hiring an Expert Data Engineer (based in Finland and Poland) to design, build and optimize ELT/ETL data pipelines and data products for its Capital and Credit Data Foundation, supporting ECB-regulated credit information processes. Core tech includes Snowflake, Oracle, dbt, Airflow, Python/SQL and CI/CD tooling.
Profil recherché Etudiant(e) en Bac +⅘, spécialisation en Data Engineering ou Informatique. Compréhension des concepts de traitement et d’architecture des données. Connaissance de Google Cloud Platform (GCP), notamment…
A Business Analyst joins Penguin Random House Grupo Editorial's Commercial Planning team in Barcelona (50% remote) to design and maintain Power BI data models fed from SAP and Snowflake, build business KPIs, manage data incidents via JIRA, and produce sales analyses and sales-forecast reports for the commercial team.
Deloitte Australia's AI & Data practice in Sydney is hiring multiple consulting roles (Consultant through Director) to design, build and deploy AI, data platform and cloud solutions for public and private sector clients. Core tech includes Python, SQL, and platforms like Azure, AWS, Google Cloud, Databricks and Snowflake.
Entry-level data engineer at airline Air Arabia's Pune office, supporting ELT/ETL pipelines, SQL/dbt transformations, Snowflake or Azure Synapse data models, and Power BI reporting, while validating data quality and partnering with stakeholders. Ideal for someone with 1-2 years of data/analytics experience building on SQL, dbt, and BI skills.
Enexis, a Dutch electricity and gas grid operator, is hiring a medior/senior Data & integration engineer for its ADER DevOps team to build data pipelines and applications supporting a reliable energy grid. Day-to-day work centers on Python, SQL, DBT, Dagster, Docker/Kubernetes, CI/CD, cloud (AWS/Azure) and Terraform, working hybrid from 's-Hertogenbosch.
A manager-level data engineering role in Deloitte's AI & Data consulting practice in Sydney, delivering client data platforms and AI solutions built on Databricks, Snowflake, AWS and Azure, using tools like Spark, SQL and dbt.
Senior Data Engineer at Douglas Group in Düsseldorf who builds and operates data products on the company's central Snowflake Lakehouse — modeling data with DBT (DataVault/Kimball), building Python/DLT ingestion pipelines orchestrated in Prefect, and shaping CI/CD and governance on Azure Pipelines.
Senior Data Engineer at Douglas Group in Düsseldorf builds and runs data products on a central Snowflake lakehouse using dbt, Python, DLT, and Prefect, applying DataVault/Kimball modeling and contributing to CI/CD, data quality, and governance standards.
Data engineer at Douglas Group in Düsseldorf working within an existing Snowflake Lakehouse platform: building dbt models and SQL transformations, extending DataVault entities, maintaining schema tests and documentation, and collaborating with senior engineers on SAP, e-commerce and CRM source systems.
A senior ML engineer at Vail Resorts' Enterprise Analytics team who productionizes data science models, architects the Databricks-based ML platform (pipelines, MLOps, governance), builds analytical applications, and mentors engineers while preparing for future LLM/agentic AI work. Core stack: Python, SQL, Spark, Delta Lake, Unity Catalog, MLflow, dbt.
A senior data engineer at Capgemini Engineering in Buenos Aires who builds and runs Marketplace analytics data products and platform — developing pipelines and models with Python, dbt, and Snowflake, maintaining ETL/ELT workflows, and monitoring pipeline health and data quality for insights used by other teams.
A Senior Consultant in Capgemini Invent's Data Driven Transformation team who owns client workstreams end-to-end, designing semantic layers, knowledge graphs, and RAG/contextual AI systems for enterprise AI engagements. Core stack includes LookML/dbt, Neo4j, vector stores, and cloud data platforms like BigQuery/Snowflake.
Expert Data Engineer at Capgemini Invent (digital transformation consulting) in Issy-les-Moulineaux, France: builds high-volume data pipelines, deploys data infrastructure with IaC/CI-CD on cloud or on-premise, develops containerized REST back-end apps exposing data/AI models, and designs full data architectures. Stack includes Spark, dbt, Airflow, Python/Scala/Java, AWS/GCP/Azure, Databricks/Snow
A senior data engineer at Capgemini in Mississauga builds and optimizes GCP data pipelines (BigQuery, Dataflow/Beam, Dataproc/Spark, Pub/Sub), manages cloud data infrastructure, and mentors junior engineers while setting standards for CI/CD, monitoring, cost optimization, and data governance.
Capgemini is hiring a Data Engineer for a ~2-year data science project in the financial/banking sector, working in a small agile squad. Day to day: building reliable, scalable data infrastructure using Azure, Databricks/DBT and data modelling, with ~50% onsite presence in Antwerpen, Belgium.
Junior Data Engineer at Capgemini Engineering in Cluj-Napoca (hybrid) who builds and maintains cloud data platforms and ETL/ELT pipelines using Python, SQL, and AWS services, while monitoring pipelines, supporting CI/CD, and collaborating with engineering, analytics, and business teams.
Senior Data Architect at Capgemini's new Porto-area tech hub, owning and governing the core data model and gold layer for a European mobility services client — defining shared entities, metrics, and modeling standards. Core stack: Snowflake, dbt, SQL, Python, Azure, Spark, and Kafka.
A code-first data engineer at Capgemini's Data Platforms team building scalable data pipelines, streaming and orchestrated workflows, and containerised services for UK Defence customers, including running ML/GenAI workloads in secure, sometimes air-gapped environments. Core stack: Python, Kafka/Spark, Airflow, Docker/Kubernetes, CI/CD, AWS/Azure/GCP.
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