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Senior Data Engineer
Design and build scalable data pipelines and lakehouse architectures using Python, Spark, Kafka, and cloud platforms to enable real-time analytics and ML workflows.
Data Engineer
Designs and maintains data pipelines, ETL/ELT workflows, and Snowflake analytics; implements CDC with Debezium and AWS Kinesis/S3; enforces security and data quality in a regulated environment.
Data Engineer
Design, build, and maintain secure data architectures and pipelines in AWS GovCloud for government systems, migrating and optimizing databases while ensuring compliance and performance.
Senior Data Engineer
Build and own Preply’s scalable data lake and ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features while enforcing quality, governance, and observability.
Data Engineer - Streaming & Batch Pipelines
Build and run real-time and batch data pipelines on AWS using Kafka, Spark Structured Streaming, Delta Lake, and Glue, integrating with ML pipelines for a fintech platform.
Data Engineer
Build and maintain Preply’s scalable data lake and real-time ingestion pipelines, ensuring trusted, production-grade data for analytics, ML, and product features across 180+ countries.
Senior Data Engineer — Data Platform
Build and operate Cyera's next-generation data platform, designing scalable Spark-on-Kubernetes infrastructure, Apache Iceberg lakehouse storage, and Airflow orchestration to power AI security products.
Senior Data Engineer
Build and own GCP-based data pipelines (batch/streaming) on BigQuery, ClickHouse, Pub/Sub, Kafka, and Dataflow to feed analytics and ML systems, while migrating off Snowflake.
Analytics Engineer
Build and maintain data pipelines and dbt models in Redshift to turn raw payments data into clean, tested, and self-serve analytics for Flutterwave’s fintech platform.
Senior Machine Learning Engineer
Build and optimize scalable data pipelines and ML/LLM feature engineering for generative AI assistants that power manufacturing and operations at a biotech giant.
Data Engineer
Our Story At Safewill, we’re transforming estate planning and end-of-life services through beautifully simple, accessible technology. Backed by investors like King River Capital, Westpac’s Reinventure Fund, Carthona…
Data Engineer (CDC & Legal ETL)
Builds and maintains CDC pipelines to sync Singapore’s legal data into a Neo4j knowledge graph, ensuring AI models stay current with statutory changes via automated ETL and validation.
Senior Data Engineering
Build and own a Databricks Lakehouse data warehouse and real-time pipelines for a financial trading business, modeling customer, order, trade, and market data with Kafka, Flink, and Spark.
Backend Engineer - Qlik Replicate,Middleware / Product Installation,Configuration
Backend engineer installs, configures, and maintains Qlik Replicate and other CDC middleware, onboards source systems, and automates pipelines using AWS, Terraform, and CI/CD tools.
DevOps Engineer, Data & AI Infra
Build and scale Airwallex’s globally distributed, PCI-compliant cloud platform using GCP, Kubernetes, and GitOps, while automating Data & AI infrastructure to support rapid growth.
Consulenti e Trainer Cloud & Data Engineering (Partita IVA)
Freelance consultant/trainer delivers hands-on cloud and data engineering workshops and projects for enterprises, focusing on AWS/Azure pipelines, Spark, and data governance.
Data Engineer ambito Big Data
Build and maintain scalable big-data pipelines using Spark, Kafka, NiFi, and Iceberg to move and transform data from source to analytics-ready layers with zero data loss.
(Senior) Data Engineer (Kafka)
Build and maintain scalable, event-driven data pipelines in AWS using Kafka/MSK, AWS Glue, and Python to power Aviva’s Operational Data Store and ensure trusted enterprise data flows.
Senior Data Engineer
Build and harden GCP data pipelines (BigQuery, ClickHouse, Dataflow, Pub/Sub) to feed ML/AI products, own ETL/ELT workflows, and migrate off Snowflake.
Data Engineer
Design and maintain scalable data lakehouse pipelines on AWS, ingesting real-time financial data via Kafka/Debezium and transforming it into business-ready datasets for analytics.