Vagas remotas de CI/CD com elegibilidade clara.

Design, develop, and maintain scalable data pipelines to ingest, transform, and curate logistics, maintenance, and supply chain data from multiple USMC systems.

• Middle
• AWS
• Azure
• CI/CD
• +3

A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems

• Senior
• AWS
• Azure
• CI/CD
• +3

, and designing scalable data lake and data warehouse solutions. Experience across multiple data platforms (Databricks, Snowflake, Azure Data Factory, Synapse, etc.) is a strong advantage. Key Responsibilities 1.

• Senior
• AWS
• Azure
• CI/CD
• +5

Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution

• Senior
• AWS
• CI/CD
• Python
• +2

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.

• Middle
• AWS
• CI/CD
• Docker
• +7

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

• Senior
• AWS
• Azure
• CI/CD
• +3

Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems

• Middle
• AWS
• Azure
• CI/CD
• +3

(functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives Profile data to assess the accuracy and completeness of data sources and work with business

• Middle
• AWS
• Azure
• CI/CD
• +3

Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)

• Middle
• Azure
• CI/CD
• Spark
• +1

Build & Modernize Core Data Infrastructure: Lead the evolution of our existing integrations toward a modern, orchestrated architecture.

• Lead
• AWS
• CI/CD
• REST

Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)

• Senior
• AWS
• Azure
• CI/CD
• +4

Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.

• Senior
• AWS
• CI/CD
• PostgreSQL
• +3

Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.

• Senior
• CI/CD
• Python
• Spark

Developing & maintaining ETL/ELT pipelines

• Senior
• CI/CD
• Python
• Snowflake
• +1

Pipeline Engineering: Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines.

• Senior
• CI/CD
• GCP
• Python
• +3

Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics

• Senior
• CI/CD
• Python
• SQL

Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient

• Senior
• AWS
• Azure
• CI/CD
• +9

Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.

• Senior
• AWS
• CI/CD
• Docker
• +5

Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings

• Senior
• CI/CD
• Docker
• Kubernetes
• +4

Evolve and streamline Wurl’s data ETL processes, Business Intelligence dashboards (internal and external) enhancement, data workflows (with emphasis on scale, security, maintainability, and validation), data warehousing processes

• Senior
• AWS
• CI/CD
• Python
• +2

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Experience in data engineering with Databricks and AWS

• Senior
• AWS
• CI/CD
• Python
• +2

Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.

• Senior
• CI/CD
• Python
• Spark

Own Databricks production support for the Sugar Predict data platform, including monitoring, alerting, and incident response across all production data flows

• Senior
• AWS
• Azure
• CI/CD
• +4

The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform.

• Senior
• CI/CD
• Python
• Snowflake
• +1

Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.

• Senior
• AWS
• Azure
• CI/CD
• +4

Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold)

• Senior
• AWS
• CI/CD
• Docker
• +3

FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025

• Senior
• CI/CD
• Golang
• Java
• +4

Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems

• Senior
• AWS
• Azure
• CI/CD
• +3

Design and build scalable, well-tested DBT models.

• Senior
• AWS
• CI/CD
• Python
• +2

Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.

• Senior
• AWS
• Azure
• CI/CD
• +5

Design, build, and maintain scalable batch and real-time data pipelines using Maxwell, Kafka, Spark, and dbt to power analytics and business-critical applications.

• Middle
• CI/CD
• Python
• Spark
• +1

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

3-5 years of experience as a Data Engineer / MLOps Engineer

• Middle
• CI/CD
• Docker
• GCP
• +1

at least 2 years of professional experience in data engineering

• Junior
• CI/CD
• Docker
• Python
• +1

Strong hands-on experience with Azure Data Factory.

• Senior
• Azure
• CI/CD
• Snowflake
• +1

Konzeption und Umsetzung moderner Datenpipelines: Du entwickelst und optimierst Batch- und Streaming-Datenpipelines und sorgst dafür, dass Daten zuverlässig, performant und skalierbar verarbeitet werden.

• Senior
• CI/CD
• Python
• Spark
• +1

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows on AWS.

• Senior
• AWS
• CI/CD
• Python
• +2

Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode

• Senior
• AWS
• Azure
• CI/CD
• +4

Own Databricks production support for the company's data platform, including monitoring, alerting, and incident response across all production data flows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and SQL.

• Senior
• Azure
• CI/CD
• Docker
• +3

Act as a technical advisor for the integration between Databricks and data privacy/governance tools.

• Senior
• AWS
• Azure
• CI/CD
• +2

Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes

• Senior
• AWS
• CI/CD
• Python
• +1

Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products

• Senior
• AWS
• CI/CD
• Python
• +2

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Senior
• AWS
• Azure
• CI/CD
• +7