科技職缺
職缺列表
Senior Data Engineer
Senior Data Engineer at Samsara architecting large-scale Spark/PySpark pipelines and a Databricks/cloud data platform for Connected Operations IoT data, with a forward focus on AI-augmented tooling (MCP servers, AI agents) and platform-as-product thinking.
Data Science Analyst
Data Science Analyst at Stride, Inc. builds data models, dashboards, and analyses to improve academic and business outcomes for an online K-12 education company. Day-to-day work uses SQL, Python, DBT, GitHub, and Power BI to collect, model, and report on school and third-party data.
Data Analyst (Marketing)
Marketing data analyst at venture builder Nodera Group, diagnosing acquisition funnels, campaign performance, attribution and retention across multiple startup ventures; core stack is SQL, dbt, GA4/GTM, AppsFlyer/Adjust, and Power BI/Tableau.
Senior Product Analyst
First Product Analyst at GPTinf, a Ukrainian AI startup whose text tools (paraphrasing, plagiarism check, AI detection) serve 1M+ users monthly. You build end-to-end analytics from scratch — tracking plans, PostHog dashboards, A/B tests, and retention/churn/LTV models — with a growth path to Lead.
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.
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.
Senior Software Engineer (Data)
Senior data-focused software engineer building cost management features end-to-end, including data pipelines, transformation models, data visualization, and reusable UI components for a remote team.
Data analyst
Data analyst designing and building analytical data marts against PostgreSQL on big-data projects, writing SQL, documenting data, and liaising with business stakeholders on requirements and deliverables.
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 Architect, AI and Data Practice
Data architect role at a consulting firm, designing data warehouse/lakehouse solutions and Power BI semantic models, developing ELT pipelines, implementing governance with Microsoft Purview, and supporting AI-agent-ready semantic layers in Microsoft Fabric.
Senior Technical Consultant - Data Architect
Senior Technical Consultant / Data Architect at CACI Ltd advising on AI/ML and advanced analytics, designing Databricks Lakehouse and Snowflake environments, and leading cloud data platform migrations for enterprise clients.
Data Engineer
The Data Engineer designs, builds, and operates scalable data pipelines and platforms using Python, SQL, and Azure/Microsoft Fabric, collaborating with cross-functional teams to deliver trusted data assets across ingestion, transformation, storage, and access layers.