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Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the…
Pionnier des ventes événementielles en ligne depuis 2001 et acteur incontournable du e-commerce en Europe, Veepee collabore avec plus de 7 000 marques pour proposer des produits à forte décote, disponibles sur une…
Join Our Team at Bergen New Bridge Medical Center!** We are dedicated to providing high-quality, compassionate care to our diverse community. As a leading healthcare provider, we offer a supportive and inclusive work…
DigitalOcean is hiring a Senior Manager to lead its BI/analytics platform engineering team in Seattle (hybrid). This player-coach role owns the roadmap for an AI-enabled analytics solution, including semantic layers, dbt-based data models, and pipeline reliability, using SQL, PostgreSQL, Snowflake/BigQuery/Redshift, and Looker.
Senior Marketing Analyst at Fivetran defines and owns core marketing metrics, builds scalable datasets and self-service dashboards, and turns campaign/funnel data into recommendations for the go-to-market org. Core stack: SQL (BigQuery/Snowflake), dbt, Looker/LookML, Sigma/Hex, plus Salesforce and Marketo data.
Mid/Senior Data Engineer building a governed Snowflake data layer for a large pharma client: extending and migrating dbt models, developing Airflow DAGs with data quality gates, and promoting code through CI/CD. Core stack: Snowflake, dbt Core, Airflow, Flyway, GitHub Actions; senior level also owns design and cost/performance tuning decisions.
Data Analyst at a trading-operations firm in Shenzhen who turns real-time market data into automated PnL reports and trading analytics. Day to day: writing optimized SQL against ClickHouse, building Python automation, monitoring pipeline data quality, and defining KPIs with trading desks across Kafka/RabbitMQ/ClickHouse pipelines.
Data scientist on Mercury's Risk team building, validating, and deploying real-time machine learning models to detect and prevent fraud and monitor financial crime risk. Day to day: model development and monitoring, ensuring data quality in pipelines, and collaborating with risk strategy and engineering. Core stack: SQL and Python.
Staff-level data scientist on Mercury's Risk team who builds, validates, and deploys machine learning models to detect and prevent fraud and financial crime in real time. Day-to-day is SQL/Python analysis, production model deployment and monitoring, and technical leadership across risk, product, and engineering.
Remote-first Senior Data Engineer on Super.com's data engineering team, tackling high-impact, short-cycle projects (SWAT model) on a mature petabyte-scale stack of Snowflake, dbt, Kafka, and Amplitude. Day to day: designing scalable data architecture, enforcing data governance, and partnering with analytics and business stakeholders.
Data Engineer in Alvarez & Marsal's internal Business Intelligence Unit in Kuala Lumpur: builds and maintains ETL pipelines and data models, migrates to a Snowflake warehouse using dbt, optimises query performance, and supports analysts and Power Platform developers. Core stack: SQL, SQL Server, Snowflake, dbt, Azure Data Factory, Git/CI-CD.
Senior Data Engineer in Alvarez & Marsal's Business Intelligence Unit in Kuala Lumpur, architecting and maintaining data foundations and optimizing ETL pipelines to deliver well-modeled data for analytics and AI. Core stack: Snowflake, dbt, and Azure Data Factory, working alongside analysts and developers.
About us Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI…
Location: Remote (U.S.). Preference for candidates in Greater Detroit, Dallas-Fort Worth, Memphis, or Kansas City who can work hybrid. The Role NCD is looking for a Manager, FP&A to own the budget, the forecast,…
Vention is hiring a Data Architect in Sofia to design, own, and govern data models across Bronze/Silver/Gold Medallion Architecture layers. Day to day: set modelling and governance standards, build semantic/Gold-layer models in DBT, review platform changes, and mentor engineers, working hands-on with Databricks, Azure, SQL, and Python.
Brief info about Vinted Our mission is to make second-hand the first choice, and we're looking for people who want to help us get there. Every day, we work together to help our members buy and sell pre-loved…
Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust, and belief to…
Nous recherchons un.e Data Analytics Engineer spécialisé.e sur Looker , capable de structurer et de valoriser les données afin de les rendre accessibles, fiables et exploitables par les équipes métier. À…
Data Engineer at HS2 Ltd (UK high-speed rail body, recruited via Public Sector Resourcing) designing and maintaining cloud data pipelines and warehouse models in a hybrid London/Birmingham role. Core stack: Snowflake, AWS/Azure/GCP, Azure Data Factory, Synapse, Databricks, Spark, SQL and Python, with Airflow and dbt advantageous.
We are looking for an experienced Data Quality & Automation Engineer to drive data quality, automated testing, observability and reliability across modern data platforms. Key Skills & Experience: Data quality…
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