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The Analytics Engineer will design and maintain dbt models on BigQuery to transform raw data into trusted datasets for analytics and ML. This role involves ensuring data quality, collaborating with stakeholders, and optimizing data pipelines within a fintech environment.
The Cloud Data Engineer will design and manage cloud-based data solutions for banking clients using Google Cloud Platform. The role focuses on building and orchestrating data pipelines using Python, SQL, Apache Airflow, and BigQuery.
The Cloud Data Engineer will design and manage cloud-based data solutions for the banking sector using GCP, BigQuery, and Airflow. The role involves developing ETL/ELT pipelines and optimizing SQL queries to ensure reliable data architecture.
The Staff Data Engineer will lead the design and scaling of data infrastructure, overseeing complex ETL pipelines and mentoring engineering teams. The role requires deep expertise in Python, distributed systems like Kafka and Airflow, and cloud data warehouses such as BigQuery.
The Data Engineer Associate will design and maintain data pipelines into BigQuery and build internal dashboards. The role involves collaborating with BI and IT teams to ensure data governance and quality using Python, SQL, and cloud tools.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and cloud-based data infrastructure. The role involves developing data models, implementing BI dashboards, and ensuring data governance using tools like Python, SQL, Airflow, and various cloud platforms.
Build data pipelines from multiple sources into BigQuery Data Lake/Warehouse and create internal dashboards to support BI and data engineering teams at a payment switching company.
The Lead Data Platform Engineer will own the canonical data models and semantic layer, establishing data contracts and enabling self-serve analytics. The role involves working with a modern stack including BigQuery/Snowflake/Redshift, dbt, Python, and various orchestrators to ensure reliable and compliant data infrastructure.
This senior data engineer role involves developing a personalization context service and data platform on Google Cloud Platform to support machine learning models. The engineer will work with technologies including BigQuery, DataFlow, Kafka, and Terraform to process data from sources like Google Tag Manager.
Kiiro is seeking an experienced Data Engineer to build robust data foundations, pipelines, and cloud-based architectures for clients using technologies like Python, SQL, AWS, and Databricks. The role involves consulting, designing data solutions, and industrializing data science and GenAI products.
Lead Data Engineer at a consulting agency, designing robust data architectures and leading a technical team while advising clients on cloud data platforms, pipelines, and big data technologies.
Groupe Kanbios is seeking a Data Engineer to design and maintain robust data pipelines while ensuring data integrity. The role involves analyzing client needs, developing technical solutions, and optimizing architectures using technologies like Spark, Kafka, and various cloud platforms.
The Data Engineer will join a multidisciplinary team for a retail client to design, develop, and model data solutions while focusing on cost optimization. The role involves maintaining operational systems, managing incidents, and deploying infrastructure using GCP, Terraform, and Python.
SRE/DevOps engineer deploying and maintaining GCP and Kubernetes infrastructures with CI/CD pipelines and observability, scripting in Bash and Python.
Ayesa Digital is seeking a Data Scientist / Machine Learning Engineer to manage the full data lifecycle and deploy machine learning models into production environments. The role involves working with GCP technologies and agile methodologies.
Technical Solutions Architect designing and optimizing scalable data platforms with Snowflake, Databricks, and lakehouse architectures in a pre-sales/consulting capacity.
Analytics Engineer building data models with dbt, writing SQL, and working with BigQuery and Looker to support analytics at a payments company.
Build and operate enterprise-scale ETL/ELT data pipelines and knowledge graph infrastructure using Python, SQL, Google Spanner, BigQuery, Neo4j, and vector databases to support enterprise search and AI systems.
Backend/cloud engineer building scalable Go and Python services on GCP (Cloud Run, BigQuery, Pub/Sub) for a financial intelligence platform's data pipelines and API-driven services.
The Data Engineering Manager will lead the design and development of a new data platform, managing a team and overseeing data architecture, modeling, and governance. The role focuses on integrating systems like Salesforce and Moodle using technologies such as Snowflake, dbt, and various ELT tools to support business analytics.
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