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Role Mission: To lead and scale the Data Platform Engineering and Operations function within StarHub’s Digital Experience Platform (DXP) Data organization. This role ensures the continuous reliability, scalability, and…
Job Description Role Mission: Serve as the senior data architecture authority for DXP Data, translating business, analytics and AI priorities into secure, scalable, operable and cost-aware architecture across AWS,…
Job ID:6193 About Nordea Asset Management Nordea Asset Management (NAM) is a responsible Nordic asset manager with a global reach. With more than 900 employees across 18 countries and over EUR 350 billion in assets…
Job ID: 5559 We are seeking an experienced product owner to develop and own our common data platform as part of our data journey. This role is a serious opportunity for someone who want to develop in the role of…
Job ID: 5560 We are seeking an experienced product owner to develop and own our common reporting tooling and fund reporting data layer. This role is a serious opportunity for someone who want to develop in the role of…
Title: Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Enterprise Analystics Data…
Data Engineer building and scaling a modern data stack (Snowflake, dbt, Airflow, Python, SQL) to power AI-driven data products and analytics for a shopping/cashback app.
Designs and builds a greenfield enterprise data warehouse on Google BigQuery, consolidating fragmented systems (ERP, CRM, e-commerce, EDI, etc.) into a governed, decision-ready foundation for MRCOOL’s HVAC business. Focuses on ELT pipelines, data governance, AI enablement, and executive reporting.
Mid-level Data Engineer building and maintaining data pipelines and models for automated regulatory reporting at PensionBee, using SQL, Python, and modern data warehouses (Snowflake, BigQuery, Redshift) with strong emphasis on ETL/ELT, data quality, and documentation.
This role involves building a global Data Mesh platform using a Lakehouse architecture, focusing on batch and streaming data pipelines. You will work with technologies like Apache Spark, Databricks, Kafka, and cloud storage to enable secure data sharing and governance.
The Data Engineering Lead will act as a technical authority for client engagements, balancing hands-on data pipeline development with commercial leadership and practice building. The role requires deep expertise in modern data stacks, AI engineering, and the ability to guide clients through complex data architecture and strategy.
Build and maintain data ingestion and transformation pipelines using Dagster, dbt, and Snowflake, with Python and AWS, in a PR-driven workflow supporting analytics at an affordable housing company.
The Data Platform Engineer will build and maintain modern data platforms, focusing on pipelines, processing, orchestration, and infrastructure. The role involves working with open-source technologies like Python, SQL, Kubernetes, and various data processing engines to deliver scalable data solutions.
Senior Data Platform Engineer advises clients on modern data platforms, designs scalable architectures, and builds robust open-source solutions with Python/SQL, Spark, Kafka, and Kubernetes. Focuses on governance, performance, and hands-on engineering for enterprise clients.
The Senior Data Engineer will build scalable, customer-facing data products using Databricks, Azure, Python, and PySpark. The role involves integrating AI and LLM technologies into data pipelines while collaborating with product and commercial teams.
👋 About Us sunday is building the fastest, simplest way to pay in restaurants. With a quick scan of a QR code, diners can pay, tip, and leave in about 10 seconds. We believe great products should feel obvious, not…
Senior Data Engineer builds and maintains automated ETL/ELT pipelines and data models for a fintech POS-financing platform, ensuring regulatory compliance and data integrity at scale.
Senior DevOps Engineer responsible for CI/CD, observability, and developer tooling at a global fundraising platform, using Kubernetes, Jenkins, Prometheus, and Grafana.
Designs and builds Snowflake-native data architectures, ETL/ELT pipelines, and developer utilities to enable analytics and data products, focusing on performance, security, and governance.
Build and maintain scalable backend services and data pipelines that ingest, validate, and normalize customer marketing data for AI-driven ad-spend optimization.
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