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Build and maintain data pipelines, manage distributed databases, and support development teams using SQL, PySpark, and streaming tech like Kafka.
Build and maintain scalable cloud data pipelines for a global travel platform, using AWS, Kafka, Spark, and Scala to process billions of daily events.
Designs and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data platforms to support analytics and AI in high-security sectors like defense.
Designs and builds scalable data pipelines and self-serve infrastructure under a Data Mesh model, collaborating with domain teams to define data contracts and ownership.
Build and optimize scalable data pipelines and analytics infrastructure using Python, Spark, Airflow, and ClickHouse to power Atolls' global shopping platform.
Build and maintain Seedtag’s ad-serving SDK and creative tool Studio Pro using Rescript/React frontends and scalable backend APIs in a Kubernetes-based cloud stack.
Maintains and scales AWS cloud infrastructure for data analytics projects, automates deployments with CI/CD, and ensures security and cost efficiency.
Administers and automates cloud infrastructure on AWS and Azure, deploys Kubernetes/OpenShift clusters, and builds Terraform-based IaC pipelines for containerized apps.
Build and maintain modern data platforms (lakehouse, data warehouse) and ETL/ELT pipelines in cloud and on-prem, integrating structured and unstructured sources to enable analytics and AI solutions.
Builds scalable, secure cloud data pipelines on AWS using services like Glue, RDS, Redshift, and Kinesis.
Build and maintain APIs and web apps for a global supply-chain visibility platform using C# and SQL Server/Postgres, with AWS and streaming data experience a plus.
Data Engineer builds and maintains cloud-based data pipelines and ETL/ELT workflows for production systems, collaborating with data scientists and architects to deliver scalable, high-quality solutions.
Build and maintain ETL/ELT pipelines, data architectures, and ML pipelines using Azure Databricks, Python, SQL, and Kafka to drive energy-sector insights and automation.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Build and own streaming/batch data pipelines, lakehouse and time-series layers, and self-serve tooling for a crypto market maker’s trading, portfolio, and analytics needs using Python, SQL, Kafka, ClickHouse, and Terraform.
Build and scale AWS-based infrastructure for a fintech startup that digitizes receipts for banks and retailers, using Terraform, Ansible, and serverless services like Lambda and DynamoDB.
Principal engineer building and operating low-latency, resilient backend services and migration tools for Snowflake/Databricks on AWS/Azure, leading a software pod and setting platform engineering standards.
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Data Integration Engineer Location: Poznań, PL, 61-569 Facility: POZNAN-6731 LyondellBasell a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that…
Build and maintain scalable ELT/ETL pipelines, orchestrate workflows in Airflow, and model data in Snowflake/Databricks to power analytics and AI apps, using Python, SQL, and AI coding tools.
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