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Senior Data Engineer joining the internal data function of a UK travel organisation, building scalable, reliable data solutions fully remotely. Core stack is Snowflake with SQL and Python, AWS cloud, and Fivetran/dbt pipelines. Salary £50,000–£60,000.
Data Engineer at Curaleaf International who builds and runs production ingestion/transformation pipelines into Snowflake, maintains dbt models and data quality, and manages Terraform/AWS infrastructure for a regulated cannabis business. Python, SQL, Snowflake, dbt, Terraform and AWS are the core stack; UK remote or London hybrid.
Senior Backend Engineer joining the Data Serving team to build and own the API boundary and low-latency serving layer between raw product data and its consumers (internal teams, AI agents, customers). Core stack: Kotlin, Python, Postgres, BigQuery, Kafka, Kubernetes on AWS/GCP.
Data Engineer II at Fanatics Collectibles in Mexico City, primarily supporting the Topps data engineering platform: building cloud-native data pipelines, maintaining Snowflake modeling/optimization and Terraform-managed RBAC, and integrating Shopify APIs. Core stack includes Python, SQL, dbt, Snowflake, AWS (Lambda, S3, Glue), and orchestration tools like Airflow/Spark.
Senior Analytics Engineer in Lightspeed's Data Office designing and maintaining scalable data models that power financial reporting, go-to-market, and product analytics, translating business needs from Finance, Marketing, and Product into technical solutions. Core stack is SQL with BigQuery/Snowflake and dbt or Dataform.
Entry-level AI Data Engineer at QuantumBlack (AI by McKinsey) in Toronto, building the data pipelines, secure data environments, and foundational infrastructure that power LLM, retrieval, and agentic AI solutions for clients. Works in cross-functional agile teams with Python/SQL and modern data/cloud platforms.
Contract Data Engineer (6+ months) at Codd Labs in Toronto, designing, building, and owning end-to-end data pipelines for client projects. Core stack is Python, SQL, dbt, and Terraform on AWS (Redshift/S3), with potential LLM integration in data workflows.
Intermediate Data Engineer (5-7 years' experience) joining a wealth-tech client's Data & Analytics team in Toronto on a hybrid schedule (3 days downtown). Day to day: designing ETL/ELT pipelines and scalable architectures on AWS, Snowflake/Databricks with dbt and Airflow, plus data governance and cloud migration support.
Senior Data Engineer who owns the Commercial Analytics data platform in Microsoft Fabric at CMLS Commercial (Nesto Group): designing and maintaining ELT pipelines, dimensional models, and Power BI semantic models, migrating Azure Data Factory/SSRS to Fabric, and leading stakeholder-facing data initiatives end to end.
Lead Data Engineer serving a Fortune 100 insurance client via Iris Software — designs and maintains scalable ETL/ELT pipelines, dbt models, and stored procedures on cloud platforms like Snowflake, validates data quality, and collaborates with data architects and business analysts. Core stack: SQL, Python, Snowflake, dbt.
Senior Data Engineer at Clutch, Canada's largest online used-car retailer, owning the data platform end to end — building ELT pipelines, data models, and data quality/observability on Snowflake, dbt, Airflow, Python, and AWS to power analytics and financial-services work. Hybrid role based in downtown Toronto three days a week.
Iris Software is hiring a Lead Data Engineer to serve its Fortune 100 insurance client in Mississauga. Day to day, the lead designs and maintains scalable ETL/ELT pipelines and warehouse models using SQL, Python, Snowflake, dbt, and Airflow, ensuring data quality for enterprise analytics.
6+ month contract in Toronto: design, build, and own client data platforms end to end — ingestion, transformation, warehousing, and validation — using Python, SQL, dbt, and Terraform on AWS (Redshift, S3), with LLM exposure on some projects.
The Senior Data Analyst will own end-to-end reporting and dashboarding for operations, finance, and CX teams, utilizing SQL, modern BI tools like Sigma, and AI agents to ensure data reliability. The role involves migrating manual reports to BI layers, managing a semantic layer, and mentoring junior analysts.
Contract Senior QA Lead in Chicago (hybrid, 3 days onsite) who defines QA strategy, test plans, and reconciliation frameworks for large-scale data migration programs, validating ETL pipelines end to end. Core stack: advanced SQL, Azure Databricks/PySpark, Python automation (pytest, Great Expectations, dbt), and agentic AI/GenAI testing.
Snoonu in Qatar is hiring an experienced data engineer to run day-to-day ETL, integrate new data sources, and extend batch and real-time streaming pipelines using infrastructure-as-code. The core stack is Python, SQL, dbt, Airflow, Databricks, PySpark, GCP, AWS, and BigQuery, with a focus on BI data quality and downstream data extraction.
Mid-level data engineer at Snoonu (Qatar's delivery/shopping super app) who integrates new data sources and extends batch and streaming ETL pipelines, builds real-time pipelines via infrastructure-as-code, supports BI teams with data quality, and helps migrate ETL systems. Core stack: GCP, BigQuery, AWS, Databricks, Spark, dbt, Airflow.
Location Our Data Engineer will be an integral part of our R&D team. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to…
Data engineer on Toss Place's Data Platform Team, building and operating large-scale data infrastructure and analytics pipelines on Kubernetes/EC2 — running Kafka, StarRocks, Airflow, Spark, and Elasticsearch, and evolving a real-time analytics platform on StarRocks and Apache Iceberg.
Senior Data Engineer designing scalable data architectures and building ETL/ELT pipelines with Python, dbt, and SQL on modern cloud data platforms (Snowflake, AWS). Remote full-time role based in Florham Park, NJ.
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