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InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business…
Lead the design and delivery of real-time data pipelines and backend microservices for InMobi’s DSP, processing billions of bid-stream events daily to power bidding intelligence, audience targeting, and campaign analytics using Python/Java/Scala, Kafka/Flink, StarRocks, and Kubernetes.
Lead a data engineering team at Sanofi, designing and operating scalable data pipelines and platforms using Spark, Kafka, Snowflake, and AWS to support analytics and AI/ML use cases in the commercial business.
Lead a team of data engineers to design scalable pipelines and AI platforms for healthcare analytics, collaborating with stakeholders to deliver data-driven solutions in Toronto.
Build surveillance models for Risk and Compliance using Java, Spark, and databases in a hybrid role in Montreal, collaborating with cross-functional agile teams.
Big Data Platform Engineer building production-grade solutions on the ACQA platform using Scala, Java, Spark, and Azure Databricks, with a focus on platform capabilities, automation, and CI/CD pipelines.
Data Engineer joining a Warsaw-based team to modernize an investment bank's backend data processing platform, building scalable pipelines with Scala, Java, and Apache Spark on an internal cloud in a hybrid model.
Design and build scalable data pipelines on Azure Databricks and related Azure services to support analytics and reporting.
Build and optimize KDB+/q time-series databases for financial markets, creating low-latency analytics and APIs used by traders, quants, and AI models.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and platforms using Python, PySpark, and GCP technologies. This role involves collaborating with cross-functional teams to automate data processes and implement modern software engineering practices.
The Data Engineer will design and implement batch and streaming data pipelines, manage ETL/ELT processes, and ensure data quality. The role requires proficiency in Python, Java, or Scala, along with experience in Spark, SQL, and cloud platforms like AWS.
The Data Engineer will design, implement, and maintain scalable data pipelines and ETL processes within Azure and Databricks environments. The role involves collaborating with cross-functional teams to build big data solutions and ensure high-quality data standards.
The Junior Data Engineer will join the AI Markets team to develop and optimize kdb+ time-series databases, building analytic layers and APIs for traders and quants. The role involves working with large datasets, performance tuning, and integrating data with AI/ML workflows.
Senior Data Engineer at The Codest, developing and automating tools for a major European e-commerce platform's Data Platform. Tech stack: Python (primary), JVM languages, GCP (BigQuery, Composer, Dataproc, Cloud Run), SQL, PySpark, Docker.
Data Engineer responsible for planning, developing, and maintaining cloud data environments for clients, focusing on Azure Data Factory and Databricks pipelines.
Builds and maintains data pipelines and warehouses on Azure, using Spark, SQL, and ETL tools to enable analytics and reporting.
DevOps Engineer building and maintaining GCP cloud infrastructure using Terraform, IaC, and CI/CD pipelines in an Agile team based in Kraków.
Builds and optimizes Scala/Java-based data pipelines for an investment bank using Spark, focusing on scalable ETL/ELT processes in a hybrid work setup.
Build and maintain scalable Azure data pipelines using Databricks, Synapse, and Microsoft Fabric to power analytics and AI workloads.
Software engineer building banking infrastructure—card issuing, payment reconciliation, webhooks, and API versioning—using functional programming languages and distributed systems at a UK-regulated fintech bank.
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