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As a Generative AI Data Engineer at Riverside Natural Foods (maker of MadeGood snacks), you build foundational data architectures, ELT/ETL pipelines, and ML/AI-ready datasets while ensuring data quality and observability. Core stack: SQL, Python, SAP integration, and cloud/hybrid platforms.
RAZR is hiring an on-site Senior Data Platform Engineer in Vancouver to guide data infrastructure architecture, design and maintain pipelines, own the Snowflake warehouse, and mentor engineers. Core stack includes Kafka, Flink, Snowflake, SQL, and Pulumi infrastructure-as-code.
Lead Data Engineer at Hive.co building and scaling a cloud-native data platform that powers marketing for major North American events. Day to day: architect the data platform, take ML infrastructure from experimentation to production, deliver data products, and build agentic/LLM systems. Core stack: Python, Django, various data stores, distributed systems, MLOps.
Director-level engineering leadership role at Chainalysis: owning the technical architecture and delivery roadmap for business systems and data integrations, directly managing platform engineering, data engineering, and systems administration teams, and delivering AI-enabled, API-driven solutions.
Lead TD's enterprise Databricks-based data platform in Toronto: design, build, and operate a scalable data fabric powering governance, reporting, analytics, and AI-driven use cases, while setting standards and operational controls for data accuracy, security, and accessibility.
A junior Data Engineer at Sanofi in Toronto who builds and optimizes data pipelines and data models to support AI/ML solutions in healthcare R&D. Day-to-day work centers on SQL, relational databases, data quality/governance, and collaborating with analysts, scientists, and business stakeholders.
Leads the engineering of TD's enterprise technology reference data platform, managing a team of data/platform engineers to onboard and integrate technology data into a Databricks-based data fabric for governance, reporting, analytics, and AI use cases. Core tech includes Databricks, cloud platforms (Azure/AWS/GCP), ETL/ELT pipelines, streaming, and APIs.
At Manulife, a Data Engineer designs, builds, and maintains scalable ETL/ELT pipelines and the company's data architecture, integrating data into the enterprise data warehouse while upholding data governance. Core stack includes Azure Data Factory, Azure Databricks, SQL, ADLS Gen2, Synapse, and Python/SQL/Java/Scala.
GFL Environmental is hiring a Senior Data Engineer in Vaughan, Canada to own real-time streaming pipelines, data lake architecture, and end-to-end data workflows that power AI-driven insights and statistical modelling for its AI initiatives, using AWS Glue, Spark, Kafka, Terraform, and Delta Lake.
Senior Data Engineer at GFL Environmental in Vaughan, Canada, owning the full data stack: designing real-time and batch pipelines (AWS Glue, Lambda, Spark, Kafka), building data lake architecture, and delivering end-to-end AI/ML and statistical forecasting workflows for operational efficiency and financial forecasting.
Senior Data Engineer on RBC's Risk IT Data Services team in Halifax: designs data architecture and pipelines, optimizes Spark and Java/Scala big-data jobs on Cloudera/HDP, and builds Spring Boot microservices with Jenkins, Git, and JIRA tooling.
A Senior Data Engineer joins a growing data engineering team to design, build, and optimise pipelines and a modern Lakehouse platform on Databricks (PySpark, Spark SQL, Delta Lake) in an Azure-first cloud environment. The role is hybrid in Surrey and pays up to £90,000.
Senior Data Engineer building a modern Databricks Lakehouse platform on Azure for a Surrey, BC team: designing and implementing scalable data pipelines, influencing architecture, and driving best practices across the data stack in a hands-on hybrid role.
A senior data engineer role in Mississauga (onsite 3+ days/week) building and maintaining scalable banking/financial-regulatory data solutions. Day to day involves data modeling, ETL pipelines, and testing using Python, PySpark, SQL Server, Azure Databricks, and Snowflake.
Senior Data Engineer at EPAM (Kraków) designing and building the client's enterprise data platform: developing Python ETL/ELT pipelines, ingesting data from OLTP databases (PostgreSQL, SQL Server) into Snowflake, and implementing Medallion (Bronze/Silver/Gold) data models. Core stack: Python, SQL, Snowflake, AWS.
В команду DWH ищем Data Engineer, который поможет развивать и масштабировать опыт, в первую очередь для удобства ML команд. Сейчас есть мини команда из 3 человек, база в виде Data Lake House для 1 источника данных. Наш…
Site Reliability Engineer on N26's Data Storage Team in Barcelona, building and operating scalable, secure database platform infrastructure on AWS. Day to day: infrastructure-as-code (Terraform), Kubernetes/EKS, CI/CD pipelines, observability, and on-call support for the bank's core data storage services in a hybrid work model.
Lead Engineer for Q-tech's hybrid enterprise data platform at an international investment management firm in Madrid. The role owns end-to-end platform architecture and standards across cloud and on-prem, centered on Snowflake, Apache Airflow, and Kafka, while staying hands-on with design reviews, mentoring, and automation.
Realnaut is hiring a versatile AI/ML specialist in Murcia, Spain to work across Data Engineering, Data Science and Machine Learning, with a core stack of Azure, Databricks and DevOps.
Data Platform Engineer in Madrid building a secure, scalable Snowflake-based data platform for a leading financial services firm. Day to day: designing cloud data components and implementing ingestion, transformation and distribution pipelines with Terraform, dbt and Airflow, using Python or Java.
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