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Senior individual contributor designing, building, and evolving Shell Energy LNG's data platform in Singapore — cloud data pipelines, lakehouse solutions, integrations, and AI-ready data foundations. Core stack: Azure (ADF, ADLS), Databricks, PySpark, Python, and Kafka.
Senior Data Engineer at Singtel builds and improves big data pipelines and streaming/batch data applications on a Hadoop-based platform, working with Python, PySpark, Spark, SQL, Airflow and web/API frameworks like React, Django and Spring Boot, while mentoring junior engineers and leading DevOps/DataOps operations.
Senior Data Engineer at Singtel building and enhancing data pipelines on Big Data platforms for streaming and batch workloads. The role involves leading DevOps/DataOps efforts, mentoring junior engineers, and applying data security and governance practices within a multinational telco driving AI, 5G, and cloud services.
Tiger Brands is hiring a Senior Data Engineer to design, build, and optimize data pipelines and analytical models supporting the FMCG value chain. Day-to-day work spans ERP and supply chain systems, CI/CD with Azure DevOps, enterprise Power BI semantic layers, and SQL Server/SSIS/SSAS data warehousing.
Design, build, and optimize scalable ETL pipelines and data stores for cross-functional analytics teams at FirstRand Bank, working with SQL, Hadoop, Spark, and Kafka while maintaining data warehouse platforms and cross-border data governance.
Senior Data Engineer at Tiger Brands (Africa's largest listed FMCG manufacturer) who designs, builds, and maintains ETL/ELT pipelines and data models using SQL Server, SSIS, SSAS, and Power BI, with CI/CD automation via Azure DevOps, supporting reporting, forecasting, supply chain visibility, and commercial insights.
Senior data engineer at Immunai, an AI-driven biotech in Ramat Gan (hybrid), building scalable data pipelines and warehousing for single-cell, genomic, and clinical data. Day-to-day work centers on Python, SQL, ETL (Spark/Beam), orchestration (Airflow/Dagster), BigQuery, and cloud infrastructure supporting AI/ML teams.
Senior and mid-level data platform engineers design and run Azure/Snowflake-based data platforms (Data Factory, Data Lake, Azure ML, Power BI/Fabric), using Terraform for infrastructure-as-code and Azure DevOps/GitHub Actions CI/CD, with a strong focus on observability. Onsite role near Aldenham, UK, at £100,000 per year.
Lead-level developer on RBC's Global Functions Technology team in Toronto, working on large-scale data processing and microservices while shaping architecture and delivering secure, well-tested software. Collaborates with Risk, Finance, and Banking stakeholders using Python/C++, JavaScript, and databases.
A senior data engineer role at Appnovation focused on preparing enterprise domain data for AI agents: building data agents over governed datasets in Databricks and Snowflake, running lakehouse migrations (e.g., Apache Iceberg), and onboarding new data domains with strong governance and data quality. Core stack includes SQL, PySpark, dbt, Airflow, and catalogue/governance tooling.
Cineplex is hiring a Senior Data Engineer to own and evolve customer data platforms like Customer360 and Audience360. Day to day: lead end-to-end data product delivery, design robust data models, build secure lakehouse architectures, mentor engineers, and enable AI-driven segmentation and activation for marketing from a hybrid Toronto office.
Senior Data Engineer on CI Financial's Data, AI & Analytics team, designing and operating scalable ELT/ETL data pipelines, reusable ingestion frameworks, and CI/CD workflows for the data platform. Core stack includes Snowflake, dbt, SQL, and Git-based tooling (Bitbucket, Jenkins), onsite four days a week in Toronto.
Senior Data Engineer on HelloFresh's Growth Alliance (Customer Value Optimization) in Toronto, hybrid with 2-3 days/week in office. You design, build, and operate data pipelines powering pricing, personalization, and CLV forecasting using Python, SQL, PySpark, Kafka, Kubernetes, Airflow, and Databricks on AWS.
Senior Data Engineer at Citi building and maintaining scalable Python-based data pipelines, SQL/ETL-ELT solutions, and data models that power enterprise analytics and BI. Works with relational and NoSQL databases (PostgreSQL/Oracle/MongoDB) and big-data tools like PySpark, Databricks, and Airflow in a regulated financial services environment.
Senior Data Engineer at Citibank in Mississauga building Python-based data pipelines, ETL/ELT frameworks, and data models that power enterprise analytics and BI. Core stack includes Python, SQL (PostgreSQL, Oracle, SQL Server), MongoDB, and PySpark, with Airflow, Databricks/Starburst, and CI/CD tooling.
Senior Data Engineer who owns Cineplex's customer data platforms (Customer360, Audience360, Databricks Customer Lake, Braze integrations), building batch and near real-time pipelines, dimensional models, and audience activation flows on Azure Databricks, Spark/PySpark, SQL, Delta Lake, Azure Data Factory and dbt. Hybrid role: 3 days/week in the Toronto office.
Senior Data Engineer on RBC Wealth Management's Technology Data team in Toronto, developing, testing, and deploying data/software architectures and automation to power advanced analytics and ML solutions. Day-to-day involves SQL, Python/Java/TypeScript automation scripts, GenAI-assisted code and testing, and Agile/DevOps practices with tools like JIRA and GitHub.
Data & Analytics technical lead at DEACERO, a steel recycling and manufacturing group in San Pedro Garza García, Nuevo León. Day to day: defining the data platform architecture and standards, integrating transactional and subsidiary sources into a central data warehouse, ensuring data quality/consistency, and mentoring the analytics team.
Senior hands-on Data Engineer/Architect at a high-growth SaaS marketplace for sport and events, shaping the data and knowledge layer that powers AI, search and intelligent automation. Day-to-day involves designing scalable AWS data platforms, data modelling/ontologies, and RAG/vector-graph retrieval systems, hybrid from Central Manchester (3 days onsite) for up to £75,000 + 20% bonus.
Depop is hiring a Senior Data Platform (Enablement) Engineer in London to architect, build, and scale its data platform so teams can self-serve their data needs. Day to day this means owning transformation and orchestration tooling, batch and streaming infrastructure, and the data lake, using Kafka, Databricks, Airflow, dbt, Terraform, Docker, and cloud platforms.
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