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Experienced Data Engineer - Innovation and Consumers, Aarhus or Gdansk
Builds and maintains data-driven solutions using Azure Databricks, PySpark, and SQL to enable business insights and decision-making for Arla Foods' innovation and consumer intelligence teams.
Jr Software Engineer
Junior Software Engineer building and maintaining scalable ETL and real-time streaming data pipelines with PySpark, Spark, Java, and AWS services.
ETL Data Engineer - ETRM/SSRS-Houston, TX
Build and maintain ETL pipelines and reports for energy trading systems using SQL Server, SSIS, and Python in a hybrid Houston role.
ETL Tester with Automation Testing
Perform end-to-end ETL testing for data warehouse and migration projects, validate data extraction, and apply automation frameworks with AI-driven testing approaches.
Senior Analytics Engineer
Senior Analytics Engineer in Nuvemshop's Risk team, developing scalable data pipelines (ETL/ELT), optimizing data warehouses/lakehouses, and creating analytical models using dbt, SQL, and Python. Collaborates with data engineers and analysts to ensure data quality and support fraud detection.
Data Engineering Associate | Azure ETL & Big Data
Engineer data platforms and ETL pipelines on Azure using Airflow and Kubernetes, collaborating with data scientists to support analytics and BI for clients.
Senior Snowflake Data Engineer - Hybrid, Impactful Projects
Senior Data Engineer working on large Snowflake and ETL/ELT projects for NAVARA, combining data architecture with hands-on development in Python/Scala, Snowflake, and cloud platforms (Azure/AWS/GCP).
Data Engineer – Azure Data Vault & BI Dashboards
Works as a Data Engineer for Veiligheidsregio Utrecht, developing a Data Vault datawarehouse in Azure, Azure Data Factory ETL/ELT pipelines, and automating CI/CD. Core technologies include Azure, Data Vault, and Data Factory.
Senior Data Engineer — ETL & Data Platform Lead
Senior Data Engineer leading ETL and data platform development, designing robust data pipelines and data warehousing solutions for Gemeente Zoetermeer, advising on data quality and working with business stakeholders.
Data Engineer – Hybrid, DataHub & ETL Architect
Data Engineer joining TVM Verzekeringen's DataHub team to build and test MarkLogic-based solutions for data collection and harmonization, focusing on ETL, data modeling, data architectures, and OTAP improvements.
Senior Data Engineer — Hybrid, Production-Grade Pipelines
Senior Data Engineer building production-grade ETL/ELT pipelines and medallion lakehouses on Azure or GCP using Terraform, Docker, Kubernetes, and Airflow for clients across aviation, banking, and retail.
Data Engineer Veiligheidsregio Utrecht
Build and optimize an Azure-based Data Vault data warehouse, implement ETL pipelines, and enforce testing/monitoring for a government safety agency.
Data Engineer (38 uur)
Data Engineer at TVM verzekeringen building and managing the DataHub (MarkLogic-based lakehouse), focusing on developing, maintaining, and testing ETL/data solutions using NiFi, CDC, and REST for BI, operational systems, and data science.
Data Engineer Retail Lending
Data Engineer at ASN Bank building ETL pipelines, data models, and dashboards for the mortgage portfolio using SQL, Teradata, Tableau, Python, and Snowflake.
Senior Data Engineer
Builds and maintains production-grade ETL/ELT pipelines, lakehouse architectures, and DevOps automation for enterprise clients in aviation, banking, and retail using Python, PySpark, SQL, and cloud platforms.
Senior, Data Engineer
A Senior Data Engineer at DEPT® who translates business goals into concrete solutions, designs data systems and pipelines, and works with various databases and cloud platforms.
Data Engineer
As a Senior Data Engineer at NAVARA, you design and build ETL/ELT processes, optimize cloud-based data pipelines, access data from various sources, manage AWS/Azure environments, and ensure data quality for analysis, focusing on Snowflake projects and ML integration.
Data Engineer
As a Data Engineer at Xyntrel, you design and build scalable data pipelines and architectures, working with data scientists and business stakeholders to create data-driven solutions.