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Analytics Engineer at Currys (UK tech retailer) in its AI & Monetisation squad, building and maintaining dbt models, data quality tests, documentation and BI dashboards to power self-service analytics. Core stack: SQL, dbt, Snowflake/Databricks, and BI tools like Looker/Tableau. Hybrid role based at Waterloo, London.
About the Job We are looking for a hybrid Data Architect and Data Engineer who combines strategic architecture expertise with hands-on engineering capabilities. This role is balanced between designing scalable data…
Tech Lead for the Data & Analytics team at CSS (Swiss insurer): develops and operates the company's modern data platform on Databricks, shaping Data Vault modeling, Lakehouse architecture, dbt Core on Azure, CI/CD and data quality, while coaching teammates. On-site in Luzern at 80-100%.
The Sofidel Group Sofidel, headquartered in Porcari (Lucca), is a global leader in tissue paper production. With operations in 12 European countries and 12 U.S. States, we employ over 9,500 people dedicated to…
Solution architect at Enexis, the Dutch energy grid operator, who owns the Sitecore XM Cloud architecture for digital customer channels: setting architecture standards, reviewing vendor designs, and steering choices on integrations, APIs, cloud, security, and data. Works closely with a Lead Sitecore Engineer in a new Agile team.
Lead Data Engineer at Air Arabia in Pune who owns the organization's data engineering roadmap, platform, and pipelines supporting analytics, data science, and AI. The role is hands-on with SQL, Python, Spark, cloud platforms (AWS/GCP/Azure), orchestration tools like Airflow and dbt, and streaming tech like Kafka, while also leading and mentoring a team of data engineers.
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.
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.
Sogeti (part of Capgemini) in Aix-en-Provence, France, seeks a senior Data Engineer with 5+ years of experience to design scalable data architectures and build real-time and batch pipelines using Snowflake, Palantir Foundry, Python, Spark, Airflow, and cloud platforms, applying DevOps/MLOps practices.
Capgemini is hiring a Senior Data & AI Architect in Berlin to translate client requirements into scalable end-to-end data and AI architectures. The role centers on cloud platforms (AWS, Azure, GCP), Databricks, Snowflake, and Lakehouse/Data Mesh/Streaming concepts, including integrating GenAI and agentic AI solutions.
Data Engineer specializing in Databricks within Capgemini's Insights & Data practice in Clermont-Ferrand, France. Day to day: translating client needs, designing and modeling data solutions, building warehouse data pipelines on Databricks, running UAT, and industrializing delivery using SQL, ETL tools and cloud platforms (Azure/AWS/GCP).
A senior Snowflake consultant in Capgemini's Insights & Data practice in Nantes, France, who translates client needs into data solutions: functional analysis, data modeling, data warehouse development/ETL pipelines, UAT preparation, and industrialization, while mentoring teammates. Core tech: Snowflake, SQL, ETL tools (Datastage, Informatica, Talend, Airflow, DBT), and cloud platforms (Azure, AWS,
Senior Data Scientist at Capgemini advising German public sector clients (federal, state, municipal) on AI adoption — taking solutions from use-case idea through data pipelines and modeling to production integration, with focus on ML, NLP, generative/LLM and agentic AI using Python, SQL, Spark and cloud or sovereign platforms.
Data Engineer at MediaMarktSaturn's Barcelona Tech Hub building and operating ingestion pipelines and analytics for retail media advertising data (Google Ads, Meta, Criteo, GA4, etc.) on Google Cloud, using Python, SQL, BigQuery, dbt/Dataform, Terraform, and GitHub Actions.
Senior Project Manager at Allianz Technology's Data & Analytics Platforms team in Barcelona, owning end-to-end delivery of large-scale data, analytics, and AI platform projects. Day to day: agile governance, cross-team coordination of distributed teams, stakeholder management, and coaching junior PMs, working alongside engineers on the Allianz Data Platform.
A Forward Deployed Engineer at Allianz Technology works hands-on with Databricks, Azure Synapse, and Microsoft Fabric to implement the Allianz Data Platform, partnering with Operating Entities to deploy platform components, build batch/streaming integration pipelines, and add governance and CI/CD so analytics and GenAI use cases run at group scale.
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