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Hybrid Data Engineering & Governance Associate Manager
Leads BI data blueprint design, defines data structures, and integrates systems using automated/AI reporting tools for a client project.
Data Engineering Manager: Build Scalable Pipelines
Lead cross-functional teams to design, build, and maintain automated data pipelines and scalable platforms using Spark, Airflow, dbt, Snowflake, and Databricks.
Data QA Engineer
Designs and executes test strategies for AWS-based cloud data platforms, validates ETL/ELT pipelines, ensures data integrity, and builds automated testing frameworks using AWS Glue, EMR, Redshift, DynamoDB, SQL, PySpark, and Python.
Senior Data Engineer
The Senior Data Engineer will support regional partners by implementing ETL/ELT flows using Big Data tools like Spark, Python, Azure Data Factory, Azure Synapse, and Azure Databricks, while maintaining and monitoring the Enterprise Data Lake platform.
Data Engineer Manager
Lead the design, development, and optimization of automated data pipelines across multi-platform environments using tools like Spark, Airflow, dbt, Snowflake, and Kafka for a Philippine telecom company.
GTM Engineer
Alloy is where you belong! Alloy is the AI-powered identity and fraud prevention platform that accelerates onboarding, stops fraud, and scales compliance across the customer lifecycle so financial organizations can…
[FBO] Data Engineering Spark Scala - 1773 (IT) / Freelance
Build and maintain data pipelines in Spark (Scala) for a large French bank’s data engineering team, integrating batch, streaming, and API flows with Kafka, HDFS, and Cassandra.
Senior Data Engineering Team Lead - Cloud & Platforms
Lead a data engineering team to design and implement cloud-based data solutions for digital transformation projects.
Analytics Engineer — Data & BI Lead (Paris, Hybrid)
Build and maintain data pipelines and BI dashboards to make marketing, sales, and finance data reliable and accessible using Snowflake, Airbyte, dbt Cloud, and Metabase.
Lead Data Engineer | Architect & Mentor (Python) - Remote
Lead Data Engineer architecting data solutions in Python and SQL, using Google Cloud, BigQuery, and Airflow while collaborating with Product, DevOps, and QA teams.
Data Engineer Consultant - Pipelines & Data Quality
Designs and maintains robust data pipelines to ensure data quality and integrity, collaborating with client teams to implement technical solutions and integrate tools.
Data Engineering Manager
Leads data pipeline design and team scaling for client workflows, specializing in Snowflake-based architectures, high-volume matching, and real-time/batch integration tradeoffs.
Data Ops Analyst
The Data Ops Analyst ensures Primark’s data platform (Databricks, dbt Cloud, Azure) runs reliably, manages pipelines, and supports production-ready data products while driving DataOps best practices and platform modernisation.
Senior Business Analyst
Senior Business Analyst at Moniepoint designs and implements strategies to improve user acquisition, retention, and engagement for payment products using data analysis, SQL, Python, and visualization tools.
Senior Business Analyst
Senior Business Analyst at Moniepoint designs and analyzes growth strategies for payment products using SQL, Python, and visualization tools like Tableau to drive user acquisition and retention in fintech.
Engineering Manager (Data Direction)
We are looking for an Engineering Manager or experienced Team Lead with a strong Data Engineering background to lead and scale the teams building our high-reliability, secure, and linearly scalable Data direction. This…
Data Engineer (Onsite)
Data Engineer builds and maintains secure data pipelines and warehouses for a Pentagon mission, transforming raw data into curated datasets for analysis and reporting using Python, cloud platforms, and visualization tools.
Software Engineer, Inference (AI Data Engineering)
Designs and optimizes large-scale AI inference systems for SpaceX’s mission-critical applications, focusing on distributed infrastructure, low-latency model serving, and GPU-level optimizations to accelerate internal AI workloads.