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Tech Lead (Data Engineer)
Lead a team building scalable cloud data pipelines and platforms in AWS, enabling AI initiatives and data-driven decisions with Python, ETL/ELT, and modern data engineering practices.
Senior Data Platform Engineer
Build and migrate a large-scale data platform for a global game publisher, using Python, Spark, Airflow, Kafka, Trino, and Iceberg to power analytics and ETL/ELT pipelines.
Ingénieur Data Analyst / Business Analyst Data
Design and implement data pipelines and dashboards for industrial clients, translating business needs into PostgreSQL queries and ETL workflows with Airflow, dbt, Flink, and Kafka.
Data Engineer - Azure Databricks
Salary: $100 p.h. + super Pearl Recruitment Group is seeking an experienced Data Engineer to support a major, nationally significant program in Western Australia. This position will help establish the core architecture…
Databricks Data Engineer
Czym będziesz się zajmować? Responsibilities: Design, develop and maintain ETL and ELT pipelines for structured and semi structured data. Build and optimize lakehouse solutions for analytics, reporting and regulatory…
Data Engineer (Databricks)
Czym będziesz się zajmować? Project details and scope: Build and optimize Azure and Databricks data platforms, lakehouses, and analytics solutions. Design and maintain scalable pipelines with ingestion from databases,…
Analytics Engineer
Build and maintain data pipelines, dbt models, and integrations for performance marketing analytics using SQL, Python, and ClickHouse to power user acquisition decisions.
Senior Data Engineer (Remote)
Build and own data pipelines, warehousing, and ML infrastructure for an AI-powered workforce development platform, transforming labor market and skills data into job-matching systems using Python, SQL, Airflow, dbt, and AWS.
Data Engineer
Build and maintain scalable data pipelines, APIs, and semantic models to make enterprise data AI-ready and accessible across systems.
Data Engineer
Builds and maintains ETL/ELT pipelines, data marts in Apache Superset, and Airflow DAGs for a fintech payments company.
Senior Data Pipeline Engineer (Backend)
Designs and maintains high-volume Java-based data pipelines using Apache Beam, Airflow, Spark, and Kafka to process and validate data at scale in the cloud.
Senior Data Pipeline Engineer – Backend & Cloud
Designs and operates backend systems and data pipelines in Java, using Airflow, Spark, Kafka, and cloud services to ingest, transform, and store large datasets.
Software Engineer in Test (SEIT) - Data Team
Build and maintain automated tests for data pipelines and lending logic, validating BigQuery/Redshift integrations and APIs to ensure reliable credit-decision data at scale.
AI Architect
Designs and governs enterprise AI systems, including LLMs and MLOps, ensuring scalable, secure, and compliant solutions aligned with business goals.
Databricks Architect
Design and optimize Databricks-based data platforms for government clients, building secure ETL pipelines, governance frameworks, and API integrations using Mulesoft/Kong.
Senior Data Engineer
Build and maintain scalable data pipelines on Databricks for federal government systems, focusing on ETL/ELT, data quality, and governance using Unity Catalog.
Operations Data Engineering Analyst
Maintains and expands industrial data-historian systems (AVEVA PI/IP.21), curates clean datasets, and prepares AI-ready data pipelines for renewable-energy monitoring and predictive analytics.
Data Engineer
Designs and builds a corporate data warehouse and analytics pipelines for a bakery/confectionery manufacturer, integrating SAP, 1C, and other systems to enable reliable sales, finance, production, and logistics reporting.