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Senior Data Engineer at IBM Consulting designing ELT pipelines from Azure Blob Storage into Snowflake, building dbt models, and writing Python orchestration scripts to support AI use cases.
Build and own ELT pipelines end-to-end using Snowflake, dbt Cloud, Python, and Azure Blob Storage while collaborating with business stakeholders and delivery teams and exploring AI-enabled use cases with Snowflake Cortex.
Design scalable ETL/ELT pipelines and model data in Snowflake for a pharmaceutical client, collaborating cross-functionally using SQL, Python, Airflow, and dbt.
Senior Data Engineer at IBM Consulting building ELT pipelines from Azure Blob Storage into Snowflake, developing dbt transformation models, and writing Python orchestration scripts to support AI use cases.
AI Senior Data Engineer building autonomous AI workflows, production data pipelines, and the analytics layer for a telehealth platform, with a focus on LLMs and agentic workflows.
Senior AI Data Engineer building autonomous data workflows, LLM-based AI solutions, production data pipelines, and scalable reporting for a telehealth platform in Warsaw.
Senior Data Engineer owning end-to-end data initiatives to enable AI use cases, designing ELT pipelines from Azure Blob Storage into Snowflake and building dbt transformation models with Python orchestration.
Job Description Our client is building the intelligence layer behind one of the world's largest rewarded advertising platforms, helping 770+ million users discover and engage with new mobile apps every year. Their…
Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Senior Data…
The Senior Data Engineer will build and maintain a centralized data warehouse using Microsoft Fabric, PySpark, and SQL to support enterprise-wide analytics. The role involves designing scalable data ingestion pipelines, implementing medallion architecture, and applying AI-powered engineering practices.
Senior Microsoft Fabric Specialist combining engineering, solution design, and client advisory. Responsible for the full data platform lifecycle from design through production, working with Lakehouse, Data Factory, pipelines, and Power BI integration within Microsoft Fabric.
Senior Data Platform Engineer in Amsterdam owning and evolving the data stack (Snowflake, dbt, Dagster, Python), leading architecture, tooling, standards, and data roadmap, building end-to-end pipelines for product data, events, attribution, and payments.
Senior Cloud Data Engineer on a fixed-term engagement designing ETL pipelines, implementing Databricks migrations, and ensuring data quality/security on AWS for a client's online platform.
Design and optimize Snowflake environments and customer data foundations powering CRM, personalization, and audience activation, building data pipelines and schemas for platforms like Braze, Hightouch, and CDPs.
Senior Microsoft Fabric Specialist / Data Engineer who designs, advises on, and hands-on builds modern data platforms using Microsoft Fabric (Lakehouses, Data Factory, notebooks, Power BI) for a Dutch IT consultancy.
Senior Data Engineer focused on designing and optimizing Snowflake environments, transforming customer data into scalable foundations for CRM and engagement tools like Braze. Core tech includes Snowflake, data modeling, pipelines, and customer data platforms.
Senior Consultant Data Engineering at BearingPoint Netherlands, leading data engineering projects and building scalable data pipelines for clients using Python, SQL, GIT, and reporting tools.
Own the end-to-end ML lifecycle on Azure and Databricks—orchestrating pipelines from ingest through deploy and monitor—while collaborating with applied scientists to keep models reliable in production.
Senior Data Engineer owning and building the data platform for a dating app, designing pipelines that move data from product databases, app events, and third-party providers into Snowflake using Snowflake, DBT, Dagster, Python, and AWS.
As a Senior Data Engineering Consultant, you will lead data engineering projects and guide clients in building scalable, production-ready data pipelines. You will combine technical expertise in Python, SQL, and cloud platforms with strategic consulting to deliver end-to-end data solutions.
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