科技職缺
職缺列表
Data Engineer III
Senior Data Engineer at Banco Bradesco's legal department, leading technical solutions and architecture for high-volume data pipelines. Builds distributed systems on Databricks using Spark, Delta Lake, and PySpark; mentors engineers; and explores emerging tools like Kafka, Flink, Terraform, and Snowflake.
Senior Data Engineer
Design and build scalable cloud-native data platforms from greenfield to production, including near-real-time event-driven pipelines, Data Lake/Lakehouse architectures, and AI-ready infrastructure. Core stack: Python, SQL, Apache Spark/PySpark, Databricks, Kafka, Airflow, Azure/AWS/GCP, Terraform.
Data Engineer (Middle / Strong Middle)
Data Engineer at DareBay, a UGC marketplace platform connecting brands with content creators, owning and scaling the data infrastructure. Builds batch/streaming ETL/ELT pipelines using Python, advanced SQL, Spark/Flink, Airflow, dbt, Snowflake/BigQuery/Redshift, Kafka, Docker, and Kubernetes.
AI Data Engineer - Early Career
Early-career AI Data Engineer at DarioHealth building dashboards, KPIs, and ETL/ELT pipelines while contributing to AI-enabled automation. Day-to-day work involves writing Python and SQL, maintaining data models and warehouses, and ensuring data quality and reliability.
Data Engineer (команда RecSys)
Build and maintain batch ETL pipelines (Airflow) and real-time stream processing (Spark Streaming, Kafka) for analytical data marts and ML models, and grow the feature store. Stack: Python, SQL, Airflow, Spark, Kafka, ClickHouse, MongoDB.
Software Engineer
Embedded software engineer at Volvo Cars in Gothenburg working on Android-based head unit platforms, including Qualcomm BSP integration, GAS updates, board bring-up, and low-level hardware/software integration for next-generation in-vehicle infotainment systems.
Senior Data Engineer (Отдел разработки DWH и Data инженерии)
Senior Data Engineer at a bank building a Lakehouse platform on Spark + Iceberg, developing ETL/ELT pipelines in Apache Airflow, and writing high-performance analytical queries with Trino for a hybrid team in Almaty.
Senior Data Engineer
Designs and builds data pipelines and models in Snowflake for BlackLine's AI-powered Invoice-to-Cash SaaS platform, then surfaces trusted insights through Power BI. Works hands-on with SQL, Python, dbt/Airflow, and AI development tools (Cursor, Claude) within a BI & Analytics Engineering team.
Data Engineer
Data Engineer at Stratosphere working on a large bank project, building and maintaining ETL/ELT pipelines, data marts, and ML feature stores using Python, SQL, Greenplum, Apache Airflow, Apache Spark, and Trino.
Senior Python Backend Engineer – Data / GCP
Senior Python backend engineer building data pipelines and APIs on GCP, orchestrating workflows with Apache Airflow and Cloud Composer across BigQuery, GCS, Pub/Sub, and Cloud Functions.
Senior Data Engineer
Senior Data Engineer building international fintech data products — designing integrations with banking systems, building ETL pipelines into Data Lake/DWH, and developing BI data marts in Superset and PowerBI using PostgreSQL, ClickHouse, Python and Airflow.
Senior AI Engineer
Como Sr. AI Engineer en Mercado Libre, diseñarás y escalarás sistemas innovadores y seguros que resuelven problemas reales y de alto impacto. Trabajarás en un entorno dinámico con tecnología de vanguardia, aplicando…
Инженер данных/Data Engineer
Designs end-to-end analytical solutions (ETL/ELT, custom BI visualizations, ML models, PWA) for a federal Russian real estate developer, working with 1C, APIs, PostgreSQL, ClickHouse, Python, Apache Airflow, dbt, JavaScript/D3.js, Visiology, and Apache Superset.
Data Scientist (направление риски)
Data Scientist in the risk modeling team of a major Russian insurance company's IT division, building real-time claims-loss scoring and pricing models, developing regression/classification ML models end-to-end, and monitoring model stability and predictive power.
Data Engineer/ MLOpsE
This role develops, maintains, and optimizes ETL processes on banking platforms, deploys data-science models into production, and supports their operation. It uses Python, Hadoop, Spark, Airflow, data warehouses/Greenplum, Jenkins/Bitbucket/Git CI/CD, and container orchestration.
DevOps-инженер
DevOps engineer administering Linux servers and building/maintaining CI/CD pipelines in Jenkins (Groovy), managing Kubernetes clusters with Istio service mesh and Helm charts, automating infrastructure with Bash and Python, and operating Prometheus monitoring, Nexus, and Docker container workflows.
Data engineer
Middle Data Engineer building and optimizing ETL pipelines and DWH for a major Russian consumer-lending/microfinance fintech brand. Core stack: Python, PostgreSQL/Greenplum/MSSQL, Apache Airflow, Debezium, ClickHouse, with reporting in SuperSet and PowerBI.