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Senior Data Engineer (Azure Data Factory) @ Addepto
Design and maintain Azure Data Factory pipelines, orchestrating ETL/ELT workflows and optimizing warehouse layers (Azure SQL/Synapse) for enterprise clients.
Remote Snowflake Data Engineer — DBT & Data Vault Expert
Design and build Snowflake data models and ETL pipelines using dbt and Data Vault, then optimize SQL for reliable analytics in a fully remote role.
Data Engineer: Cloud Data Platform (GCP/BigQuery) – Remote
Builds and maintains a cloud data platform (GCP/BigQuery) using dbt and Airflow to power metrics for a large financial institution.
Junior Data Engineer — Data & AI Factory (Shift-Based)
Build and maintain cloud-based data pipelines and AI solutions for public-sector clients using Python, SQL, DBT, and Looker.
Senior Data Engineer (m/f/d)
Build and maintain scalable data pipelines using Airflow, Python, and dbt to power Inkitt’s AI-driven storytelling platform and entertainment apps.
Data Engineering Lead/ Tech Lead (Snowflake)
Leads the design and delivery of large-scale data solutions using Snowflake, DBT, and Data Vault 2.0, defining enterprise architectures for analytics and AI initiatives.
Senior Data Engineer - Rating & Limit Management
Senior Data Engineer builds and maintains data pipelines and models for corporate credit limit management in a bank, using Snowflake, dbt, and Airflow.
Senior Product Analytics Data Engineer (Hybrid)
Builds and improves data pipelines and models to power Zendesk’s product analytics, enabling data-driven decisions and product adoption.
Databricks Data Engineer – GenAI & Lakehouse Innovator
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to power analytics and GenAI solutions for enterprise clients.
Senior Data Engineer — Snowflake, Data Vault & Cloud Automation
Senior Data Engineer builds and optimizes cloud data pipelines, implements Data Vault models, and manages Snowflake RBAC for a retail client using Snowflake, Python, DBT, and Azure/AWS.
Cloud Data Engineer (m/f/d)
Build and operate cloud data pipelines and KPIs using Python, Google Cloud, and Terraform in a fintech loyalty platform.
Senior Data Engineer (Databricks) @ Addepto
Design and optimize scalable data pipelines using Databricks, Apache Airflow, and Spark to process streaming and batch data for enterprise clients across industries like aerospace, energy, and automotive.
Data Engineer - Automation & Innovation Department
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
Databricks Data Engineer (ICH Europe)
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
Expert Data Engineer (Snowflake, DBT)
Build and maintain a modern data platform for a Nordic bank using Snowflake and DBT, delivering trusted data for AI-driven customer-facing solutions.
Senior Data Engineer @ SD Solutions
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data models, and automated compliance systems for a fintech POS-financing platform using Snowflake, Airflow, dbt, and AWS.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Senior Data Engineer: Cloud Data Platform & ETL
Designs and builds scalable cloud data platforms, ETL pipelines, and data warehouses using BigQuery, DBT, Airflow, and Trino on GCP to support analytics and data-driven decisions.
CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS
Design and build scalable data pipelines and AI-ready platforms using Python, SQL, Snowflake, and cloud tools to deliver analytics and GenAI solutions for clients.