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Data Engineer – Mid-Level IAMUS Consulting | Columbia, MD (Hybrid) ____________________________________________________________________________________________________________________ Make an Impact Where It Matters!…
Senior Data Engineer Microsoft Azure data This is a new and exclusive opportunity for a Senior Data Engineer with strengths in Microsoft Azure data to be a key lead in strengthening, evolving, and modernising our core…
Senior Analytics Engineer in FinTech designing the analytics layer, enforcing data governance, and building scalable data solutions using dbt, SQL, and cloud data warehousing.
Own the data foundation for a centralized cloud analytics platform, modeling churn and renewal risk metrics and delivering signals into Salesforce using GCP, Databricks, PySpark, Python, and SQL.
Data Engineer role focused on building, maintaining, and optimising data pipelines using Snowflake, Matillion, Python, and SQL in a fast-paced, on-site environment in Johannesburg.
The Data Engineer will build and maintain data pipelines for fintech analytics and reporting, working with transactional systems and customer tools. The role requires proficiency in SQL, Python or Java, and messaging technologies like Kafka or Rabbit MQ.
The Data Engineer AI will develop efficient data pipelines and AI/LLM agents at MACHBANK, collaborating with product and backend teams to deliver business-focused solutions. The role requires proficiency in Python, SQL, and cloud architectures.
The Data Engineer will build and implement data and AI solutions, including LLM-based agents and data pipelines, to enhance customer experiences at MACHBANK. The role involves collaborating with cross-functional teams to translate business needs into scalable cloud-based architectures.
Arbor Academy is seeking an Azure Data Engineering Trainer to deliver classroom-based instruction on cloud data architecture, ETL workflows, and big data processing. The role involves mentoring students, conducting hands-on labs, and maintaining training content using technologies like Azure Data Factory, Databricks, and PySpark.
Data Engineer building scalable data pipelines and ETL workflows on-site in New Zealand, using Apache Airflow, Spark/PySpark/Scala, Databricks, Docker, and Advanced SQL.
The Senior Data Engineer will design and maintain AWS-based data pipelines to migrate relational data into Amazon Neptune Knowledge Graphs. The role focuses on semantic data modeling, Python-based automation, and optimizing graph queries for enterprise data integration.
The Data Engineer will design and maintain scalable ETL/ELT pipelines and data transformation workflows using Microsoft Fabric and PySpark. The role involves working with large-scale datasets to support enterprise analytics and business intelligence initiatives.
The Junior Data Engineer supports the development and maintenance of secure data pipelines, ETL/ELT workflows, and analytics-ready datasets for mission-critical environments. The role requires proficiency in Python, SQL, and big data platforms like Spark or Databricks while working on-site in a secure facility.
Lead Data Engineering programs by coordinating cross-functional teams, managing scope, risks, and governance, and communicating with stakeholders to align delivery with business goals.
Lead and deliver Data Engineering programs with strong focus on project/program management, stakeholder management, delivery governance, and risk/issue management.
The Senior Data Engineer will design and implement scalable data pipelines on Databricks using Python, Spark, and Scala within AWS cloud environments. The role involves translating business requirements into robust data designs and collaborating with stakeholders to support analytics and AI initiatives.
The Senior Data Engineer will design and build scalable data platforms, high-performance pipelines, and real-time ingestion frameworks using PySpark and Databricks on Azure and AWS.
The Senior Data Engineer will design scalable data storage and pipelines using AWS and Databricks while implementing data governance via Informatica IDMC. The role involves building robust ETL processes and collaborating with cross-functional teams to optimize data performance and quality.
The Senior Data Engineer will design and implement advanced data pipelines using Databricks, PySpark, and Python. This role requires 6-8 years of experience and involves working with Delta Lake and Lakehouse architectures in a client-facing, office-based environment in Singapore.
The Senior Data Engineer will design, build, and optimize scalable data pipelines using AWS, Databricks, PySpark, and Delta Lake. The role focuses on delivering robust data solutions for large-scale datasets within a professional services environment.
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