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A Data Scientist specializing in visualization who builds and maintains Looker/LookML dashboards and stakeholder-facing data products for Aircall's go-to-market teams, handling query optimization, caching, and metric governance. Core stack: SQL, Python, Looker/LookML, Hex, dbt/Airflow.
Position Summary: Data Engineer - Technology We are seeking a Data Engineer to help build and modernize our data pipeline architecture. The immediate mission: support the migration of ETL workloads out of Redshift…
Build and maintain scalable data pipelines and processing components for PlayStation analytics, using SQL, Python, PySpark, and cloud platforms like Databricks and Snowflake.
The Data Scientist will develop and deploy machine learning models, such as churn prediction and customer lifetime value, to optimize player engagement and commercial strategy for PlayStation. The role involves working with large-scale behavioral data and collaborating across teams to deliver actionable, data-driven insights.
Data Scientist applying causal inference techniques (propensity score matching, difference-in-differences, causal forests) to measure incremental player value and CLV at PlayStation, using Python and SQL on large-scale behavioural and transactional datasets.
Senior Data Scientist at PlayStation who builds causal models and simulations to explain platform economics, test policies, and drive revenue, retention, and engagement decisions using Python, SQL, and distributed processing.
Senior Data Scientist at Sony Interactive Entertainment analyzes player behavior and product usage to quantify value, measure impact, and inform high-stakes investment decisions using advanced modeling and machine learning in Python and SQL.
Senior Data Engineer at Intellias building an Azure Databricks lakehouse for a global asset management client's enterprise data platform migration. Day to day: hands-on delivery of medallion pipelines (Delta Lake, Unity Catalog, structured streaming), data quality gates, CI/CD via Azure DevOps, and mentoring a mid-level engineer.
Junior Business Analyst (Strategy & Performance) on XP Inc.'s B2C advisor-channel governance team, supporting structured problem solving, data analysis, KPI tracking, and executive presentations for leadership. Core tools are SQL, Python/PySpark, Excel, and PowerPoint.
Python developer with strong data engineering experience at technology consultancy Solirius Reply, designing and maintaining scalable ETL/ELT pipelines and data-intensive services using Python, SQL and tools like PySpark/Spark/Pandas in secure, complex client environments; active UK security clearance is mandatory.
Data Engineering Expert at Co-operators, a Canadian insurance co-operative, leads hands-on design and build of Azure data products and platforms: cloud architecture, Terraform IaC, CI/CD pipelines, security/compliance, and mentoring engineers. Core stack is Azure (ADLS, Databricks, ADF, Synapse), Python/PySpark and Terraform; hybrid role with 2 days in office in Burlington, Ontario.
Junior Software Engineer at Trulioo's San Diego office (hybrid, 3 days/week onsite) taking AI agent prototypes for identity verification from proof-of-concept to production. Day to day involves Python backend work, hardening LLM/agent code, building agent evaluations, AWS data pipelines, and production support.
Senior Data Engineer building and optimizing large-scale data pipelines and warehouse infrastructure on Hadoop and Snowflake for analytics and business insights. Day-to-day work spans ETL/ELT and CDC development using SQL, Python, PySpark, and dbt, plus performance tuning and incident response.
A senior data engineer role at Zone IT Solutions focused on designing and optimizing scalable data pipelines and modern data platforms using Snowflake, Python, SQL, and PySpark. Day-to-day work includes ADLS integration, data quality, performance tuning, and collaborating with cross-functional teams, with CI/CD and DevOps practices highly valued.
Data Engineer in New South Wales, Australia who designs, builds, and maintains scalable data pipelines and ETL/ELT processes on Snowflake, Azure Data Lake, Python, SQL, and PySpark, deploying via CI/CD and DevOps practices. Requires 8-10 years of data engineering experience.
Senior data engineer on EY's GDS Tax Technology team in Buenos Aires, building and optimizing data-layer components — SQL Server/Azure SQL databases, stored procedures, and ETL pipelines using Azure Data Factory, SSIS, and Microsoft Fabric — with PySpark and Power BI, delivering data solutions for global tax services.
Senior Principal Insights Analyst at Riot Games analyzes game data to improve player experiences and product health across titles, using SQL, Python, and Tableau while mentoring teams.
Principal Insights Analyst at Riot Games builds and scales analytics tools to understand player behavior and product health across the company’s portfolio of games using SQL, Python, and Tableau.
Data Engineer joining a newly formed team at Karolinska University Hospital to build a next-generation cloud-based Lakehouse data platform for healthcare. Day to day: developing data pipelines, data modeling, integrations, solution design, and CI/CD for large, complex datasets in an agile team. Three-year project employment, hybrid work from Solna.
Senior Data Engineer in New South Wales, Australia who designs and builds scalable end-to-end data pipelines on AWS — developing ETL/ELT workflows with Glue, PySpark, Python and Lambda, integrating S3, Athena, Redshift and RDS, and orchestrating with Airflow, plus data quality, modelling and CI/CD work. Requires existing Australian work rights.
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