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Senior Data Platform Engineer – Hybrid, Impact at Scale
Build and maintain the data platform that ensures reliable, accessible data for business decisions using Python, dbt, Databricks, Airflow, and Kubernetes.
Analytics Engineer: Data Quality & Insights
Build and maintain data models, quality checks, and metrics in a lakehouse using dbt, Python/pandas, and Airflow to deliver clean datasets for analytics and reporting.
Senior Software Engineer (Data Platform)
Build and maintain scalable data infrastructure (AWS, Kafka, Spark, Airflow) to power analytics and AI-driven hiring products at a global job-tech platform.
Senior GCP Data Platform Engineer (Terraform, Airflow, DBT)
Senior engineer building and maintaining GCP data infrastructure with Terraform, Airflow/Cloud Composer, and dbt for data pipelines and modeling in a media company.
Senior Software Engineer (Data Platform)
Build and maintain scalable data platforms on AWS using Kafka, Spark, Airflow and Iceberg to power analytics and AI products.
Senior Data Engineer with AWS and Snowflake Snowflake, AWS, dbt, airflow, data modelling, DWH W[...]
Builds and maintains scalable data pipelines and warehouses using Snowflake, AWS, dbt, and Airflow to support analytics and AI initiatives.
Data Analytics Engineer (f/m/x)
Build and maintain dbt data models for a Copenhagen fintech, enabling reliable reporting and decision-making in credit, payments, and fraud/AML.
Senior Data Platform Engineer — Cloud & On-Prem
Designs and builds scalable data platforms across cloud and on-prem environments using SQL, Python, DBT, Airflow, Trino, BigQuery, and GCP tools.
Data Platform Engineer - AWS/GCP + MLOps
Build and maintain a secure, scalable cloud data platform on AWS/GCP, integrating pipelines and governance for analytics and ML teams.
Senior Data Platform Engineer — SQL, dbt, Snowpark
Designs and optimizes Snowpark and dbt workflows plus CI/CD pipelines for a data platform team in Poland.
Software Engineer, Data Platform
Build and lead a multitenant data platform in AWS and Databricks, owning ingestion, storage, and access layers for internal and external data sources using Python, PySpark, and modern data tools.
Senior Data Analytics Engineer: DWH & BigQuery (Flexible)
Senior Data Analytics Engineer builds and maintains a centralized data warehouse and scalable pipelines in BigQuery, reconciling financial sources and ensuring audit-ready data for stakeholders.
Senior Data Analytics Engineer
Build and maintain data pipelines and a BigQuery-based data warehouse for a global ride-hailing platform, reconciling financial data from multiple providers.
Senior Data Engineer with AWS and Snowflake Snowflake, AWS, dbt, airflow, data modelling, DWH W[...]
Build and maintain scalable data pipelines and transformations using Snowflake, AWS, dbt, and Airflow to power analytics and AI initiatives.
Senior Data Engineer in Default Management in SD High Risk and SD C&I
Senior data engineer designs and builds end-to-end data solutions for loan servicing and monitoring in a large Nordic bank, focusing on reliability and maintainability.
Expert Data Engineer in Default Management in SD High Risk and SD C&I
Senior data engineer builds and owns end-to-end data solutions for loan servicing and monitoring in a large Nordic bank, using Oracle, PL/SQL, DataStage, and modern data engineering practices.
Data Platform Engineer/Lakehouse Architecture
Design and build a cloud-based data lakehouse that ingests engineering and security tool data, transforms it through medallion layers, and serves analytics dashboards and AI agents.
Senior Data Engineer: AWS, Snowflake, dbt & AI Initiatives
Designs and maintains scalable data pipelines on AWS and Snowflake, implements data quality controls, and improves data platform workflows using dbt and orchestration tools.
Senior AI Data Engineer - ELT & AI-Driven Analytics
Senior AI Data Engineer builds scalable ELT pipelines and AI-driven analytics using SQL, dbt, Snowflake, and Spark to power Zendesk’s customer-facing and internal data products.
Data Platform Engineer
Design and optimize Snowflake-based data models and semantic layers to power analytics and AI use cases for a global lottery technology provider.