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Data Engineer focused on designing and implementing a Medallion architecture in Microsoft Fabric and developing data pipelines (Bronze-Silver-Gold) for a logistics client using Spark, PySpark, and SQL.
The Data Engineer will build and maintain data pipelines within the Azure ecosystem using PySpark and Azure Databricks to support payroll operations. This role involves integrating data from various sources and collaborating with business stakeholders in an Agile environment.
Lead Data Engineer designs and develops modern data solutions, mentors teams, and ensures scalable, reliable data architectures for climatetech innovations at Viessmann.
Build and maintain data pipelines using Azure Databricks and PySpark for business analytics in a hybrid Agile team.
Build a cloud-native analytics and risk platform (ACQA) for investment banking, using Python, Java, and Scala to process large-scale financial derivatives risk and pricing data in an agile pod.
What We're Looking For Bachelor’s in Computer Science, Data Engineering, or related field. 4+ years of experience in data engineering & pipeline development. Strong expertise in SQL (PostgreSQL) and Python…
Azure Data Engineer at TCS designing and developing ETL/ELT data pipelines using Azure Databricks, Azure Synapse, and Azure Data Factory on the Azure cloud platform.
Owns and operates an enterprise data platform on Microsoft Fabric, designing lakehouse architectures, building ingestion pipelines from ERP/CRM systems, and maintaining Power BI semantic models while working directly with business stakeholders.
The Senior Data Engineer will design, develop, and maintain scalable Spark applications and data transformation workflows using PySpark and Databricks. The role involves collaborating with cross-functional teams to build AI-driven solutions for a global professional services client.
Mid-level Data Engineer building and maintaining data pipelines and warehouses using SQL, DBT, Snowflake, Snowpark, Python, PySpark, and Apache Airflow with CI/CD tooling.
Develops and optimizes data intelligence solutions using Microsoft and IBM platforms to support strategic decision-making, focusing on Power BI, T-SQL, and data warehousing.
Design and implement scalable Databricks Lakehouse data platforms and lead ETL migration from Informatica to Databricks, working with Spark, PySpark, and Delta Lake on cloud infrastructure.
Data Scientist designing and deploying fraud detection models and strategies for transactional anomalies using Python, R, SQL, PySpark, and cloud platforms like Azure and IBM Cloud Pak.
Build and maintain scalable Azure data pipelines using ADF, Databricks, and PySpark to process large datasets and automate ETL workflows.
Azure Data Engineer building scalable cloud data solutions using Python, PySpark, DBT, and SQL for an IT services company in Woerden, Netherlands.
Set up dataflows in Azure Databricks for a financial-sector client, working independently with Azure Data Factory, Python, PySpark, and SQL in an Amsterdam-based role.
Builds and maintains real-time data pipelines for post-trade processing and reporting using Airflow, PySpark, and Python in a regulated fintech environment.
Build scalable data solutions and data pipelines on Azure using PySpark, SQL, and Databricks for client projects in a team-oriented consultancy setting.
Builds and maintains ETL/ELT pipelines in Azure using Databricks, PySpark, and Azure services like ADF, Synapse, and SQL, while ensuring data lakehouse architecture and governance.
Design and maintain ETL/ELT pipelines using Azure Databricks and PySpark, working with Azure Data Factory, SQL, Delta Lake architecture, and CI/CD pipelines in a Utrecht-based data engineering company.
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