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Ваша задача — реализовывать проекты, нацеленные на улучшение бизнес-процессов, а также быть связующим звеном между бизнесом, разработкой и аналитикой, чтобы работа становилась удобнее, быстрее и эффективнее. Это роль с…
Build and maintain large-scale data pipelines using PySpark, SQL, and Databricks to power analytics and AI-ready datasets for investment and enterprise clients.
Системный аналитик в команде Сбербанка разрабатывает и поддерживает BI-дашборды для мониторинга производственных процессов. Формулирует требования, интегрирует системы, тестирует функционал и документирует модели данных.
Senior Data Engineer builds scalable data pipelines and infrastructure for an AI-powered property-management platform, including vector databases and real-time analytics to support ML workflows.
About the Role: This entry-level role is your chance to turn raw data into critical insights that guide decision-making across our entire organisation. You'll collaborate directly with Sales, Product Owners, and…
The MLOps & DevOps Engineer will design and maintain scalable cloud infrastructure and automated CI/CD pipelines on GCP to support AI platforms and RAG architectures. The role focuses on bridging data science and engineering by managing ML lifecycles, monitoring model performance, and ensuring system reliability.
You will build the foundational data platform by migrating analytics into BigQuery, extending Go services for data ingestion, and creating reusable ETL and ELT pipelines. You will consolidate operational, on-chain,…
Senior Data Engineer building and maintaining scalable data pipelines on AWS (Glue, Lambda, Step Functions, S3) using PySpark and Python, with Terraform for IaC, in a banking/financial services context.
The Senior Data Engineer will design and develop scalable data pipelines within the Google Cloud Platform environment. The role requires expertise in Python, SQL, BigQuery, and orchestration tools like Apache Airflow to support cross-functional business projects.
Builds and maintains data pipelines on GCP (BigQuery, Kafka, Airflow) to power IG Group’s analytics, compliance, and AI initiatives, focusing on Medallion architecture, data quality, and real-time event processing in a regulated fintech environment.
Builds and maintains cloud-native data pipelines and infrastructure-as-code (IaC) solutions using Terraform, Python, Spark, dbt, Kafka, Airflow, and Snowflake to support data scientists, analysts, and engineers. Focuses on scalable, reliable data platforms with direct business impact.
The Senior Data Engineer will design and maintain scalable data ingestion and AI-driven extraction pipelines using Python, Spark, and AWS. This role involves collaborating with data scientists to integrate LLMs and AI agents into production systems for retail and field operations data.
Build and optimize scalable data pipelines in AWS using Python, SQL, Spark, and Airflow to power analytics, ecommerce, and logistics systems.
Designs and maintains production-grade ELT pipelines in Snowflake, leading data architecture, migration to dbt Cloud, and ensuring data reliability for analytics and reporting in a fast-growing SaaS company.
The Senior Data Analyst will define and maintain enterprise data models and semantic layers to support self-service analytics and AI/GenAI initiatives. The role involves collaborating with stakeholders to translate business requirements into scalable data structures using technologies like Snowflake.
This role involves defining and maintaining enterprise data models and Snowflake semantic layers to support reporting, self-service analytics, and AI initiatives. The analyst will collaborate with stakeholders and engineers to translate business requirements into scalable data structures and documentation.
The Senior Data Engineer will build and maintain scalable data pipelines and Lakehouse architecture on Azure Databricks to support Electrolux's global data and AI initiatives. The role involves end-to-end data lifecycle management, including ingestion, transformation using dbt, orchestration with Airflow, and implementing data quality standards.
Builds and maintains ML-driven bidding systems for Meta/SEM advertising at Expedia Group, focusing on data pipelines, model serving, and production-grade software for travel marketing.
Ready to find the right role for you? Salary: £18.50 per hour plus Veolia benefits. Regular overtime available - midweek paid at time and a half (£27.75 per hour) weekend at double time (£37per hour) Hours: 41.5 hours.…
Build and deploy ML models for travel pricing, forecasting, and optimization, collaborating with engineers and analysts to drive revenue and cost improvements.
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