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The Data Ops Analyst supports the reliability and performance of Primark's Databricks-based enterprise data platform by monitoring pipelines, managing incidents, and coordinating releases. The role involves collaborating with engineering teams to ensure data products are scalable and operationally ready.
SDET on a 12-month hybrid contract in Dublin focused on backend and data quality testing, building automation frameworks with Python and Selenium, and validating data pipelines using SQL, Snowflake, and Databricks.
Principal Data Engineer architecting and deploying scalable big data systems, ETL/ELT pipelines, and AI infrastructure foundations using distributed computing frameworks (Spark, Flink), streaming platforms (Kafka), cloud data warehouses, and data lake architectures.
Designs and maintains scalable data pipelines and warehouses for a cloud-based AI-driven business planning platform, using BigQuery, Databricks, Airflow, and Python.
The Cloud Data Engineer will design and operate scalable data pipelines on AWS using PySpark, Python, and modern orchestration tools. The role focuses on building ETL/ELT workflows, serverless solutions, and implementing IaC practices for data lake architectures.
Hands-on role managing data platform operations and designing metadata-driven ELT/ETL frameworks (ingestion, orchestration, quality, monitoring) at NUS. Involves data lakes, data warehouses, and tools like Apache Spark, Iceberg, Trino, Python, and proprietary platforms.
Design and lead cloud-native data platform and Data Lakehouse initiatives for a government housing agency, building scalable data architectures, ETL/ELT pipelines, and multi-cloud migration strategies.
The Senior Data Engineer will design and maintain scalable cloud-native data pipelines and Data Lakehouse architectures to support evidence-based decision-making. The role involves leveraging modern data engineering tools like Python, SQL, Spark, and Kafka while implementing infrastructure as code and MLOps practices.
The Lead Data Engineer will design and build scalable data platforms and pipelines to support analytics, digital products, and AI/ML workloads. This hands-on leadership role involves mentoring engineers, establishing engineering standards, and leveraging AI-enabled tools to optimize data workflows.
Senior individual-contributor Data Engineer owning the full lifecycle of Bain's Coro B2B analytics data platform — from technical architecture and hands-on Python development through CI/CD deployment and operations, while mentoring junior engineers.
Data engineer designing, developing, and maintaining scalable data pipelines and models for enterprise data platforms, implementing ETL/ELT processes, ensuring data quality, and mentoring junior engineers.
Design and build data integration pipelines into EPM/CPM solutions using Microsoft Fabric and Azure Data Stack, ingesting data from SAP, Workday, and other source systems, implementing Lakehouse architectures, and validating data quality in a fully remote role.
Data Engineer (contract, 5–7 years) in Monterrey designing scalable data models, building batch/real-time ETL/ELT ingestion pipelines, and developing data-driven applications and APIs using SQL, Python/Java/Scala, and data warehouses/lakes.
The GCP Data Engineer will design, develop, and maintain scalable data pipelines and ETL/ELT processes on Google Cloud Platform. The role involves optimizing data warehouses and collaborating with cross-functional teams to support business intelligence initiatives.
Mid-level Data Engineer building and maintaining scalable data pipelines and ETL/ELT processes using Databricks, Apache Spark, and cloud platforms (Azure/AWS/GCP) at an engineering services firm.
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines using Informatica and dbt to support enterprise analytics. The role involves collaborating with business stakeholders to build data models and ensure high-quality data integration across the organization.
This Senior BI Developer role involves designing and implementing modern data solutions using Microsoft Fabric, Power BI, and Azure. The position focuses on building data pipelines and warehouses while integrating AI-driven applications, automation, and agents into client projects.
The Data & Analytics Test Engineer validates data pipelines, analytics solutions, and Power BI dashboards to ensure accuracy and reliability. The role involves performing ETL/ELT testing, SQL validation, and end-to-end testing cycles.
The Data Engineer will design, build, and optimize data pipelines on Google Cloud Platform, focusing on BigQuery, data lakes, and data warehouses. The role involves gathering client requirements, implementing ETL/ELT processes, and mentoring junior team members.
The Data Engineer will design, build, and maintain scalable data pipelines to support analytics and machine learning initiatives. The role focuses on ETL/ELT development, data warehouse and lake architecture, and ensuring data quality and security.
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