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Senior Data Engineer
Lead a team to build and maintain cloud-based data pipelines and warehouses for a Singapore insurance firm, using AWS, Snowflake, Python, and Spark to migrate and optimize data flows.
Strong junior Machine learning engineer
Builds and improves ML models (NLP, tabular data, and optionally CV) using Python, PyTorch/TensorFlow, and SQL; writes production-ready code and translates business needs into ML tasks.
Ведущий Backend-разработчик (AI)
Leads backend development for an AI and computer-vision product using Python and Postgres, building high-load, fault-tolerant services.
Senior/Lead Software Engineer (Data)
Build and maintain data platforms and ETL pipelines to power analytics and decision-making across Revolut’s financial products using Python, SQL, and distributed engines like Spark.
Cloud Data Engineer (GCP) — ETL, Python, BI | Flexible
Designs and maintains scalable GCP data pipelines using Airflow, Dataform, and BigQuery, builds serverless apps, and creates BI dashboards in Looker Studio or Power BI.
Data Engineer: ETL, Data Warehouse & Airflow — Hybrid
Builds and maintains ETL pipelines, data warehouse models, and Airflow workflows to move and transform data for analytics.
Data Engineer
Builds and maintains data pipelines, warehouses, and ETL workflows using Airflow to support analytics and decision-making.
Data Engineer
Build and maintain scalable data pipelines on GCP, using BigQuery, Airflow, and Python to support marketing analytics and reporting dashboards in Power BI and Looker.
Data Platform DevOps Engineer- 50% TW (Madrid)
Build and run a cloud-based data lakehouse platform for a fintech client, automating deployments, monitoring performance, and optimizing queries with tools like Dremio, Spark, and Terraform.
Data Engineer - Berlin (m/w/d)
Du hast ausgeprägte Erfahrung im Data- oder Software Engineering über mindestens vier Jahre. Du verfügst über fundierte Kenntnisse in der Python-Entwicklung mit Fokus auf saubere Software-Prinzipien. JRE-Kenntnisse und…
Senior Data Engineer - Berlin (gn)
Erfahrung: Mehrjährige fundierte Erfahrung im Data Engineering, Big Data Umfeld oder Software Engineering, idealerweise in einer Senior-Rolle. Cloud- & Streaming-Expertise: Du bringst fundierte Kenntnisse in…
Системный Архитектор AI/ML
Senior ML/AI architect designs and implements AI systems, selects models, and leads ML teams for high-load infrastructure at a cybersecurity-focused hardware/software company in Moscow.
Financial Planning Analyst
Build and own a data stack for a fast-growing wellness e-commerce brand: consolidate Shopify, Amazon, TikTok Shop, and ad data into a warehouse, model unit economics, and deliver dashboards that guide every operational decision.
Tech Lead Data Engineer — OLAP, Airflow & AWS Leadership
Leads a team to build and maintain high-volume marketing analytics pipelines using OLAP, Airflow, and AWS (S3, Athena, EKS), defining schema, partitioning, and near-real-time processing for data lakes.
DATA ENGINEER
Build and maintain ETL/ELT pipelines that move financial data from core systems (SAP/Oracle, Salesforce) into BigQuery and analytics dashboards, ensuring data quality and availability.
Tech Lead Data Engineer
Lead a team to design and own ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS S3 data lakes, Athena, Airflow, and Python.
IT Data Engineer (Snowflake)
Designs and builds scalable Snowflake data solutions for analytics and AI, including pipelines, semantic layers, and Cortex-enabled features using SQL, Python, and modern data-warehousing practices.
Data Engineer
Designs and builds scalable data pipelines and warehouses to integrate and validate business data using Python, SQL, and cloud services like Snowflake and AWS.
Full-Stack Data Engineer
Build and maintain scalable data pipelines and Python services in Snowflake using dbt, Airflow, and AWS tools to deliver reliable, analytics-ready data products for a healthcare-focused data platform.
Data Engineer
Build and maintain data pipelines in Python and Spark to process anonymized network data, create benchmarking visualizations, and support Ericsson’s AI-driven analytics platform.