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Principal Data Engineer owning IG Group's GCP data platform architecture (BigQuery, Kafka, Cloud Composer/Airflow), leading consolidation from legacy AWS and on-prem systems onto GCP with emphasis on data quality, self-service patterns, and mentoring global squads.
The Principal Data Engineer will lead the technical architecture and migration of IG Group's data platform to GCP, focusing on building scalable, high-quality data pipelines and mentoring engineering teams. The role involves defining data standards, managing real-time streaming with Kafka, and ensuring robust data observability across the firm's financial systems.
Closure Technologies is seeking a Data Engineer that will leverage their development skills and experience, to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant…
The Data Engineer will develop and maintain data products and pipelines while migrating an on-premise platform to an Azure Databricks Lakehouse architecture. The role involves working with Python, Apache Airflow, and SQL to ensure data quality and performance within a collaborative team environment.
Senior Data SRE operating and improving Kubernetes-based data platforms (on-prem/AWS/GCP) using GitOps, observability tools, and supporting data workloads like Spark, Airflow, and ETL pipelines.
Builds and maintains data pipelines, warehouses, and collection systems to enable AI/data science projects for clients, focusing on security, scalability, and cloud infrastructure (AWS/GCP/Azure).
The Engineering Consultant will build and maintain data collection, transformation, and storage systems, including ETL pipelines and data warehouses. The role involves working with SaaS and NGO clients while utilizing Python, SQL, Airflow, and cloud technologies.
The Data Engineer will maintain and improve an in-house data warehouse and manage ETL workflows to support data-driven decision-making for a large social ecommerce platform. The role requires strong proficiency in SQL, Python, ETL tools, and AWS cloud services.
Build and maintain automated data pipelines on GCP, design layered BigQuery models, and ensure data reliability for a digital-experience consultancy.
Build AI-driven data pipelines and agentic workflows using Databricks, Snowflake, or Microsoft Fabric to automate processing and orchestration beyond traditional ETL.
Sorigo w Warszawie poszukuje specjalisty ds. baz danych i analityki danych do pracy hybrydowej. Pracownik będzie pracować z PostgreSQL, SQL i Pythonem, optymalizować zapytania oraz procesy na dużych zbiorach danych w…
The Data Engineer will build and optimize scalable data processing pipelines to support the digital transformation of financial sector clients. The role involves collaborating with cross-functional teams to design data architectures while ensuring security, compliance, and performance.
Lead Data Engineer designs and develops modern data solutions, mentors teams, and ensures scalable, reliable data architectures for climatetech innovations at Viessmann.
Design, build, and operate scalable data infrastructure and MLOps platforms for Doodle's B2B SaaS scheduling product, using Python, SQL, cloud infrastructure, containers, and IaC.
Build and maintain ELT pipelines from sources to Amazon S3 and Redshift, design data warehouse layers and dimensional models using dbt, Apache Airflow, and SQL.
Builds and maintains data pipelines on AWS, transforming raw data into analytical datasets using Redshift, dbt, and Airflow for business intelligence.
Senior Data Engineer designing and building high-volume batch and streaming data pipelines on AWS and GCP using Python, Java/Scala, Spark, Airflow, and various SQL/NoSQL databases for a travel marketplace client.
An Associate Data Scientist at Culture Amp designing AI-powered features, building data pipelines and evaluation systems, and running experiments to measure product value.
Senior full-stack engineer building and maintaining mission-critical enterprise applications with Python and React for Fitch Ratings' analytical workflows in Toronto, with growing focus on AI/LLM integration.
Builds and maintains real-time data pipelines for post-trade processing and reporting using Airflow, PySpark, and Python in a regulated fintech environment.
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