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Tech Lead (Data Engineer)
Lead a team building scalable cloud data pipelines and platforms in AWS, enabling AI initiatives and data-driven decisions with Python, ETL/ELT, and modern data engineering practices.
Senior Data Platform Engineer
Build and migrate a large-scale data platform for a global game publisher, using Python, Spark, Airflow, Kafka, Trino, and Iceberg to power analytics and ETL/ELT pipelines.
Senior Analytics Engineer
Senior Analytics Engineer at Lighthouse in Barcelona builds scalable data products using SQL, dbt, Python, and BigQuery to power AI-driven commercial strategy tools for global hotel chains.
Ingénieur Data Analyst / Business Analyst Data
Design and implement data pipelines and dashboards for industrial clients, translating business needs into PostgreSQL queries and ETL workflows with Airflow, dbt, Flink, and Kafka.
Аналитик операционной эффективности
Analyzes and optimizes warehouse operations (receiving to shipping) using SQL, Python, and BI tools to build real-time dashboards and automate reporting for e-commerce logistics.
Senior Data Engineer
Build and maintain Flowwow’s custom data platform: a lakehouse on Apache Iceberg + Trino with Spark, Airflow, and AI agents. Day-to-day work is Python-based platform engineering—frameworks, libraries, and optimizations that let data teams ship faster.
Machine Learning Engineer
Czym będziesz się zajmować? Project scope: Write production-ready code and use GPU or CPU resources according to ML workload capacity needs. Architect, automate and orchestrate cloud DevOps and MLOps pipelines. Create…
BI-аналитик
Designs and implements data architecture (warehouses) and ETL pipelines, integrates data from databases/APIs, optimizes performance, ensures data quality, and develops C# tools for DWH applications. Core tech: C#, SQL, DAX, Kafka, Airflow, SSIS, SSAS.
Azure Data Platform Engineer
Design and migrate enterprise data platforms to Azure, Databricks, and Microsoft Fabric using IaC, Kubernetes, and CI/CD while ensuring security, governance, and cost efficiency.
Lead Data Platform Engineer
Lead the design and build of internal data-platform tools, Airflow-based pipelines, and AI-driven developer workflows using Python, GCP, and modern DevOps practices.
Senior QA Engineer
Owns data quality for Uberall’s analytics platform, validating pipelines, warehouse models, and reports with SQL and automated checks while collaborating with engineering to prevent defects.
Analytics Engineer
Build and maintain data pipelines, dbt models, and integrations for performance marketing analytics using SQL, Python, and ClickHouse to power user acquisition decisions.
ML Ops Engineer
Builds and maintains ML pipelines and serving infrastructure for an AI-agent platform, focusing on LLM inference optimization, GPU cluster management, and scalable deployment across cloud and on-prem environments.
Senior Data Engineer (Remote)
Build and own data pipelines, warehousing, and ML infrastructure for an AI-powered workforce development platform, transforming labor market and skills data into job-matching systems using Python, SQL, Airflow, dbt, and AWS.
Senior Software Engineer
Senior Python engineer builds and maintains data pipelines, warehousing, and AI-powered features for US fintech clients while mentoring junior engineers and automating deployments.
Data Engineer
Builds and maintains ETL/ELT pipelines, data marts in Apache Superset, and Airflow DAGs for a fintech payments company.
Senior Data Pipeline Engineer (Backend)
Designs and maintains high-volume Java-based data pipelines using Apache Beam, Airflow, Spark, and Kafka to process and validate data at scale in the cloud.
Senior Data Pipeline Engineer – Backend & Cloud
Designs and operates backend systems and data pipelines in Java, using Airflow, Spark, Kafka, and cloud services to ingest, transform, and store large datasets.
BI-аналитик
Build and maintain BI dashboards in Superset and Power BI, write complex SQL queries, and optimize data models for a fast-growing retail chain.
Engineering Manager, Data Platform
Lead a team of data engineers building scalable data infrastructure (lakes, warehouses, ETL) to power Crusoe’s AI and climate-aligned energy operations using Python, SQL, Airflow, BigQuery, and cloud platforms.