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Build and scale the backend platform powering real-time conversational AI for consumer apps, focusing on graph-based AI computations, multimodal services (TTS, LLM, STT), and telemetry-driven personalization.
Senior Data Engineer builds and maintains cloud-based data pipelines using Python, SQL, and tools like Spark or Snowflake to support analytics and automation across teams.
Lead a scalable data platform using Airflow, Spark, Kafka, and Kubernetes on AWS/GCP to ingest, process, and serve real-time and batch data for a global fashion ecommerce group.
Senior Data Engineer to design and build a greenfield data platform, ingesting payment and marketing data into a unified Lakehouse across AWS and GCP using dbt, Dagster, and Redshift/BigQuery.
Lead a backend and data engineering team to build a zero-hallucination RAG platform, designing scalable data pipelines, APIs, and distributed workflows using Python, Apache Beam, FastAPI, and Temporal.
Lead backend and data engineering for a zero-hallucination RAG platform, building data ingestion pipelines and APIs that power a deterministic Truth Engine for AI agents.
For a global technology company operating in cloud and digital infrastructure, we are looking for a Technical Support Engineer with a strong database and big data background , based in Istanbul. This is NOT a typical…
Build and run a distributed data platform handling ingestion, processing, and governance for ML/AI workloads using JVM, Kafka, and Kubernetes.
Build and maintain high-performance Spark/Scala pipelines to migrate petabytes of data from legacy systems to modern cloud storage, ensuring data quality and ACID compliance.
Design and build cloud-native and on-premise data pipelines using Spark, Kafka, and cloud platforms to ingest, process, and analyze large datasets for enterprise clients.
Leads Big Data projects for a finance client, designing scalable pipelines and architectures using Cloudera/Databricks, Spark, Kafka, and Python/Java/Scala.
Senior Data Engineer builds and optimizes Google Cloud data pipelines for clients, using BigQuery, Dataflow, and Python to design scalable, reliable data architectures and datasets.
Build and maintain data pipelines and models for BI, ML, and AI systems at a fast-growing Italian telecom, using Python, SQL, and ETL tools.
Builds and maintains scalable big-data pipelines and storage layers using Spark, Kafka, and NoSQL databases to support analytics and ML workloads for an insurtech and IoT-focused company.
Build and optimize data pipelines, warehouses, and analytics platforms for an insurtech company using Python, Spark, Kafka, and AWS.
Builds and maintains data pipelines to collect, consolidate, and transform raw data into clean datasets for analysts and scientists using SQL, Python/Java, and big data tools like Spark and Kafka.
Build and maintain data pipelines that ingest streaming, royalty, and social-media data to power analytics and business decisions in the music industry.
Builds and tests data-centric solutions using Python, big-data tools, and cloud platforms to meet business needs and ensure high-quality, scalable data pipelines.
Build and maintain real-time data pipelines and streaming applications using Kafka, Flink, and Spark to process large-scale data with low latency.
Lead a remote team of data engineers to build and scale Airalo’s cloud data platform (GCP/BigQuery) and pipelines, turning raw travel data into actionable insights for product and growth decisions.
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