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About Billigence Billigence is a boutique data consultancy with global outreach and clientele, transforming the way organizations work with data. We leverage cutting-edge technologies to design, tailor, and implement…
Principal Analytics Engineer building and maintaining data models, pipelines, and reporting surfaces to power decisions across product, sales, finance, and engineering. Works with SQL, cloud data warehouses (BigQuery/Snowflake/Redshift), and dbt to own warehouse transformations end-to-end.
PAUL macht Bestandsgebäude fit für eine klimaneutrale Zukunft. Als Technologieführer der Immobilienwirtschaft verbinden wir mit PAUL Net Zero künstliche Intelligenz, IoT-Hardware und Wärmepumpen zu einem intelligenten…
🎯 Your mission We're looking for a Mid Product Data Analyst to join our Players tribe. You will own the analytics for a product domain end-to-end: from governing the tracking that captures user behaviour, to…
Job Description I'm currently recruiting for a data engineer based in Dublin, focusing on hybrid working. This is an initial 6 month contract, strong day rate available. About the Role Senior Data Engineer…
About us Madlan is revolutionizing how people buy and rent new homes by empowering them with knowledge. Our experts — data scientists, city planners, and cartographers — work to generate dozens of insights for every…
We are looking for an Analytics Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing…
Build and optimize scalable ETL/ELT data pipelines, support data governance, and enable analytics using AWS, Snowflake, and modern stack tools within the financial sector.
QA Engineer tests data pipelines and reports for a data warehouse using SQL, Python, and BI tools like Amazon Redshift and Oracle.
You're a data engineer who builds and maintains reliable pipelines that turn raw commercial and operational data into trusted, queryable datasets. You bring hands-on experience with modern ELT tooling and a track…
Help shape the future of Education We work to shape an education system that delivers equitable and excellent outcomes Our organisation is made up of talented and committed people around Aotearoa, from a wide range of…
Stripe is seeking a full-stack engineer to join their Growth team in Singapore, focusing on building and optimizing user-facing experiences and experimentation systems. The role involves using Ruby, React, and JavaScript to drive merchant acquisition and onboarding through ML-powered recommendations and A/B testing.
About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with…
Leads design and implementation of scalable data systems for Airbnb’s BizTech team, focusing on compliance, CRM, and regulatory data pipelines. Works with distributed platforms (Spark/Kafka) and relational/columnar databases to ensure data quality, performance, and cross-team collaboration.
About mPulse: mPulse is the leader in conversational AI and member engagement for healthcare. We partner with the nation's most innovative health plans — Medicare Advantage, Medicaid, and Commercial — to engage…
Leads enterprise data warehouse (EDW) migrations to Databricks’ platform, collaborating with EMEA leadership to design scalable strategies, develop technical assets, and mentor teams. Focuses on legacy system modernization, cloud architecture, and driving adoption of Databricks’ data and AI solutions.
Design and implement large-scale data engineering and warehousing solutions for financial-services customers using the Databricks Data Intelligence Platform, guiding migrations and optimizing analytics workloads.
CSQ227R215 As a Senior Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for…
Guides customers in cloud data warehousing transformation using Databricks' lakehouse architecture, requiring hands-on production experience with large-scale data warehousing technologies.
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