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Data Engineer at Angstrom Sports (part of Entain) in London, building and maintaining secure, scalable data infrastructure — ETL pipelines, data models, and AWS-based systems using SQL, Python, and Kafka — to power the group's sports betting pricing and risk products.
Senior Data Scientist on Wikimedia's Product Analytics team shaping Wikipedia's anti-abuse and safety/security strategy. Day to day: designing metrics, running experiments, and analyzing large-scale data with SQL, Python/R, Spark, Hive/Presto/Druid, plus building dashboards with DBT, Airflow, and Superset.
Lead the architecture and development of Pinterest's data warehouse, analytics tools, and governance policies at massive scale, leveraging technologies like Spark, Trino, and AI-assisted coding tools.
Senior Data Scientist at Fingerprint, a fully remote device-intelligence company, improving the accuracy of its fraud-detection Identification Service. Day to day: building ML models on noisy, unlabeled device data and owning projects from experimentation through real-time deployment, using ML frameworks, Go, SQL, ClickHouse, and AWS.
MarginEdge is hiring an Analyst to build out go-to-market analytics: pipeline and conversion reporting, coverage and capacity modeling, commission calculation, and the analysis leadership uses to decide where to put…
A Technical Program Manager at Pinterest who drives infrastructure capacity and efficiency programs — tracking cloud usage, right-sizing, and waste-reduction initiatives across engineering teams. Core work spans AWS cloud cost/utilization concepts, program coordination, data analysis (SQL, dashboards), and GenAI-accelerated program operations.
Hybrid, contractual Analytics Engineer role in Mandaluyong: collect, clean, and validate data, run statistical analysis and data mining, and build reports and dashboards for Marketing, Sales, Operations, and Finance teams. Core stack is SQL plus Python or R with BI tools like Power BI, Tableau, or Superset.
Freelance 6-month senior data engineering mission at a telecom operator: take ownership of a production ClickHouse platform (MergeTree, partitioning, materialized views) fed by Kafka, evolve data models and Python pipelines, optimize high-volume analytical queries, and mentor internal engineers toward autonomy.
Boond est en train de Scale ! 🦊 Boond, c’est la plateforme SaaS qui booste la performance des ESN et cabinets de conseil. On accompagne 2000 clients, ESN, cabinets de conseil et sociétés d’ingénierie, et près de 100…
ภาพรวมของตำแหน่ง รับผิดชอบดูแลและพัฒนาระบบด้านข้อมูลของบริษัท ตั้งแต่การนำข้อมูลจากหลายแหล่งเข้ามาจัดเก็บ การแปลงและจัดเตรียมข้อมูลให้อยู่ในรูปแบบที่เหมาะสม ไปจนถึงการส่งต่อข้อมูลให้ทีมต่าง ๆ…
Builds and automates fault-tolerant distributed data platforms in Python, focusing on PostgreSQL, MySQL, Kafka, Kubernetes and cloud/private-cloud stacks for enterprise deployments.
The mission of the Engineering Chief Operating Officer (COO) Office is to identify, evaluate, and address strategic challenges and operational risks affecting the Engineering department. The Office formulates and…
Обязанности: разрабатывать и формировать наборы данных (датасеты) с использованием языка запросов в СУБД PostgreSQL; создавать представления и материализованные представления, процедуры наполнения таблиц; разрабатывать…
Company Description At Docplanner Group, we’re on a mission to help people live longer, healthier lives. As the world’s largest healthcare platform, each month, we connect 24 million patients with 280k doctors across…
Data Platform Engineer (m/f/n) Department : Energy Business IT | Location : Esch-sur-Alzette | Contract : Permanent | Job Requisition N °20113 Your role We are looking for a Data Platform Engineer to help us build and…
Leads a data-analytics team building ML/AI-driven personalization, A/B-testing, and metrics systems for a retail-banking product used by millions.
본 공고는 재직 임직원을 대상으로 하는 사내 공모 전용입니다. ( 임직원 추천은 Link 로 진행 ) This posting is exclusively for internal employees. (Employee referrals are submitted via the Link) 지원 시에는 반드시 첨부된 ‘사내 공모 지원서 양식’을 작성한 후, 쿠팡 이메일 계정 으로 접수해 주시기…
The Data Analytics Manager leads multidisciplinary teams to deliver advanced data marketing and analytics strategies for international clients. The role involves overseeing dashboarding, analytics engineering, and AI-driven solutions while driving the agency's analytics strategy and team growth.
Manager in Artefact's Data Analytics consulting practice in Paris, leading complex data-marketing & analytics projects for key accounts (measurement tools, CDP, MMM, Clean Rooms), managing multidisciplinary teams, driving pre-sales pitches, and growing analytics expertise with SQL, Python, BI tools (Power BI, Looker, Tableau), dbt and cloud platforms.
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