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Levy Professionals is seeking an experienced BI/Data Warehouse Developer to design, build and optimise a datawarehouse layer behind management reporting and financial analysis for a major Dutch bank. You will craft…
Our client, a growing high-frequency trading firm, is building its very first data team and looking for their first Data Platform Engineer. Today, every engineering team runs its own data flows, each in its own way.…
Data Platform Engineer responsible for designing, building, and maintaining a modern Azure-based lakehouse platform (Delta Lake, medallion architecture) with ETL/ELT pipelines, while driving the transition to Microsoft Fabric.
Designs, builds, and optimizes Azure Databricks-based data pipelines and lakehouses for clients, ensuring reliability, performance, and security while advising on AI and governance improvements.
Design and build scalable Microsoft-based data pipelines and Power BI reports to enable data-driven decisions in a biotech company.
Senior Data Engineer building a data platform from the ground up for a climate-tech hardware startup in greenhouse horticulture, designing data warehouses, IoT ingestion pipelines, and cloud infrastructure using tools like Databricks, Snowflake, and Azure Data Factory.
Build and maintain scalable ETL/ELT pipelines and data warehouses for a performance-marketing agency, ensuring reliability, cost-efficiency, and integration with AI tools like LLMs.
Build and optimize the data warehouse layer for management reporting and financial analysis at a large Dutch bank, focusing on complex SQL, star-schema data modeling, query performance tuning, and Azure Synapse Dedicated SQL Pools with Git-based DevOps workflows.
Build and optimize cloud-native observability and data infrastructure services using AWS, C++, and stream/data processing tools like Flink, Kafka, Spark, and ClickHouse, with exposure to AI/ML workloads including LLM inference.
Builds scalable real-time recommendation systems and distributed data infrastructure, integrating cloud services and AI/ML models to analyze user behavior and optimize software performance.
Data engineer building pipelines, document parsing systems, and LLM-powered applications for a FinTech investments firm in Singapore, using Python, SQL, cloud warehouses (Snowflake/BigQuery/PostgreSQL), orchestration tools, and OpenAI/Anthropic APIs.
Lead Solution Architect for a Databricks practice, owning end-to-end data platform architecture, leading presales with C-level stakeholders, and driving large-scale cloud migration programs across APAC using Databricks, Spark, and Delta Lake on Azure/AWS/GCP.
An 18-month contract Azure Data Engineer based on-site in Singapore, designing and maintaining scalable data pipelines on Azure (Data Factory, Synapse, Databricks), implementing ETL processes, and collaborating with business and analytics teams.
Data Engineer designing, building and maintaining scalable data pipelines, data warehouses and cloud-based data platforms on AWS using SQL, Oracle PL/SQL and Python to support analytics and business decision-making.
Design, build, and operationalize scalable data processing systems on Google Cloud Platform, turning raw data into actionable insights using Python/Scala/Java, BigQuery, and ELT approaches.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and cloud-based data solutions for diverse clients. The role involves data integration, migration, and quality assurance using tools like Azure Data Factory and DBT.
The Senior Analytics Engineer will design and maintain analytical data models, pipelines, and Looker dashboards within a Snowflake cloud environment. This role involves translating business requirements into technical solutions and implementing data quality frameworks to support organizational decision-making.
Location: Johannesburg | Work Type: Hybrid | Job ID: J107172 About our client: Our client offers financial service solutions helping their clients achieve their dreams. With an emphasis on culture fit, they boast a…
Parvana is seeking a skilled Data Warehouse Engineer in Johannesburg to design and optimize scalable data warehouse solutions. You will implement ETL/ELT pipelines and work with SQL Server/PostgreSQL, Python, and BI…
The Data Engineering Lead will design, build, and manage enterprise-scale data platforms and pipelines to support business intelligence and analytics. The role involves technical leadership, mentoring, and ensuring data quality and security using cloud-native technologies like AWS, Azure, Snowflake, and Databricks.
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