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Builds and scales data pipelines and AI-driven tools for customer identity resolution, enabling brands to activate unified customer data in real time.
Senior engineer on Zeta Global's data platform team builds and operates the Lakehouse, Spark, and distributed data infrastructure behind Zeta's analytics, ML, and AI systems — spanning data quality, governance, lineage, security, and cost-effective compute on AWS. Hybrid role in San Francisco or San Mateo, CA.
Senior Data Platform Engineer at marketing-tech company Zeta Global in Bangalore: build and operate the Lakehouse data platform (Spark on Hadoop/EC2, Iceberg, AWS) covering data quality, governance, lineage, security, and cost-optimized distributed compute powering analytics, ML, and AI systems, while mentoring engineers and contributing to open source.
Lead the architecture and development of Pinterest's data warehouse, analytics tools, and governance policies at massive scale, leveraging technologies like Spark, Trino, and AI-assisted coding tools.
Designs and builds Pinterest’s exabyte-scale big data storage platform using Apache Iceberg and other open-source systems, leading technical initiatives and collaborating with data, ML/AI, and infrastructure teams.
Staff-level IC on Komodo Health's Data Foundations team designing, building, and scaling Burrow, a Rust-based distributed query and indexing engine that serves the Healthcare Map and AI products. Work spans query latency/cost optimization, APIs for AI agents, workload migrations, and mentoring. Core tech: Rust, OLAP engines, SQL, Python, DuckDB, Spark.
Data engineer at GFT Poland who designs and builds modern data platforms in cloud and on-premise environments, integrating data sources and optimizing processing pipelines for analytics and reporting. Core stack: SQL, Python, GCP (BigQuery), DBT, Airflow, and Trino.
Staff-level, hands-on data engineering role in Belfast (hybrid/remote) owning end-to-end data pipelines and platforms at global scale for a consumer-insights technology business serving major consumer brands. Core stack: Spark, Kafka, dbt, Airflow/Dagster, SQL warehouses and cloud-native infrastructure.
MarginEdge is hiring an Analyst to build out go-to-market analytics: pipeline and conversion reporting, coverage and capacity modeling, commission calculation, and the analysis leadership uses to decide where to put…
Site Reliability Engineer for the data platform at IMC, a quantitative trading firm in the Netherlands. Day to day: design, run, and harden data infrastructure (HDFS, Kafka, Dremio), improve observability, automate away toil, and drive architectural fixes using Python, SQL, Linux, Kubernetes, and infrastructure as code.
Operates, maintains, and continuously improves the company's data platforms on Kubernetes (on-prem and AWS/GCP EKS/GKE), handling GitOps deployments, monitoring, incident response on 24x7 rotations, and troubleshooting user issues while mentoring junior engineers. Core stack includes Kubernetes, Linux, and ETL/ELT tooling like Spark, Airflow, and Python/SQL.
Поддержка и развитие Корпоративного хранилища данных (DWH) и Корпоративный портал отчетности. Разработка и эксплуатация пайплайнов загрузки данных Уверенный Python и SQL; Опыт интеграции с API, обработки больших и…
Senior Data Engineer role at Cherrypick serving a major mobility and digital services client in Saint-Denis, France: build and scale batch/streaming pipelines on an AWS Lakehouse using Spark, dbt and Apache Iceberg with medallion modeling, orchestrated via Airflow, IaC with Terraform, containerized with Docker/Kubernetes, plus Datadog observability, data quality testing and GDPR compliance.
Join the Data Platform team to build and maintain data-driven applications, including AI-powered data access tools. Work on a mix of legacy, improved, and greenfield projects with firm-wide impact. Why join:…
Staff-level data engineer on KAYAK's Data Platform team (Berlin office, 3 days/week on-site) who designs and operates the company's shared data foundation: streaming ingestion, lakehouse storage (Iceberg/Parquet), schema governance, semantic layer, and distributed query infrastructure, mainly in Python on Kubernetes.
Builds and automates fault-tolerant distributed data platforms in Python, focusing on PostgreSQL, MySQL, Kafka, Kubernetes and cloud/private-cloud stacks for enterprise deployments.
Build and maintain scalable data pipelines and lakehouse infrastructure for a high-profile client, using Python, Spark, Airflow, and Trino to deliver sales and finance analytics with a strong DataOps focus.
Job Description: Remitly is on a mission to transform the lives of immigrants and their families by providing the most trusted financial products and services on the planet. Since 2011, we have been tirelessly…
A Financial Instutition is seeking an experienced Lead Data Engineer to lead the bank's strategic data engineering initiatives and drive the evolution of our enterprise data ecosystem. This role will be responsible…
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
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