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
Build enterprise-scale data platforms—warehouses, lakes, lakehouse architectures—and lead end-to-end data migrations including SAP BW transitions. Core stack: Databricks, Spark, Python, SQL on Azure/AWS/GCP with CI/CD, DevOps, and IaC.
Junior Data Engineer
Junior data engineer at DHL building data pipelines, developing Power BI reports and data models, onboarding new data sources, and supporting data governance and quality initiatives.
Senior Data Engineer - Cybersecurity
Senior Data Engineer on Ford's EPEO Data and AI Ops team building and maintaining a Security Data Lake on GCP. Designs ETL/ELT pipelines with BigQuery, Dataflow, Python, SQL, and Dataplex, integrates security tool APIs, and uses Cribl to route and shape security telemetry.
Data Engineering Lead (GCP, Bigquery, ETL, Prompt Engineering) Associate Director
Lead a data engineering squad at HSBC building and operating batch/streaming data pipelines on GCP/BigQuery, owning data platform architecture, governance, lineage, FinOps, CI/CD, monitoring, and ETL/ELT delivery while coaching engineers.
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 – Microsoft Fabric / Azure
Consultant Data Engineer role building scalable data solutions on Microsoft Azure and Microsoft Fabric across varied client projects in Stockholm. Day-to-day work centers on SQL, data pipelines, data modeling/transformation, and integrating data sources.
LEAD DATA STEWARD
Lead Data Steward at Scandinavian Airlines (SAS) establishing and driving enterprise data governance — defining policies for data quality, metadata, lineage, and access management across customer, loyalty, commercial, and operations domains to enable trusted AI and analytics.
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.
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.