Senior Data Engineer

Maintain and enhance existing data processes while driving system reliability and performance improvements. Collaborate cross-functionally to modernize data workflows and ensure architectural alignment.

Senior Data Engineer (Cloud)

Migrate data products and analytical workloads from legacy systems to a modern cloud data platform. Build and maintain scalable batch data pipelines while ensuring data quality and performance optimization.

Integration Engineer (Data Center)

The Integration Engineer will design, build, and maintain scalable data flows and integration pipelines across enterprise systems including ERP, HRIS, and FinOps platforms. They will also implement automation scripts, manage CI/CD processes, and ensure system reliability through monitoring and observability.

Senior Data Engineer

Design and optimize end-to-end data solutions, including ingestion, processing, and storage, across cloud and legacy environments. Collaborate with cross-functional teams to modernize data systems while ensuring high standards of data quality, security, and performance.

Data Engineer with Airflow

You will provide hands-on support for Apache Airflow configuration, DAG development, and troubleshooting while advising customer teams on best practices. Additionally, you will collaborate with internal stakeholders to deliver technical guidance and ensure successful platform adoption and production onboarding.

Senior Data Engineer - Fully Remote

You will design, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks, Python, and SQL. Additionally, you will collaborate with cross-functional teams to optimize data workflows and support the delivery of clean data for analytics and AI initiatives.

Senior Data Engineer

The Senior Data Engineer will design, build, and maintain scalable data pipelines within Microsoft Fabric while managing the migration of existing Azure workloads. Additionally, the role involves leading a team of junior engineers, ensuring data governance, and optimizing platform performance and costs.

Senior Data Engineer

You will maintain high-volume ingestion pipelines and develop tools and frameworks for the data platform. Additionally, you will support data scientists with production workloads and contribute to ML-platform and streaming initiatives.

Data Engineer (Marketing Systems) 17 applicants

The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.

Senior Azure/Fabric Data Engineer | KD Pharma

You will assess the current Azure and Microsoft Fabric data environment to define a target architecture and implementation roadmap. Additionally, you will design ETL/ELT solutions and integrate data from various ERP, manufacturing, and quality systems.

Data Engineer (UA/RU Language speaking)

You will build unstructured data pipelines to ingest, parse, and resolve entities from various sources like email, Slack, and documents. Additionally, you will implement vector and graph storage, PII redaction, and incremental sync processes to support AI agents.

Senior Cloud Data Engineer (Azure Fabric Dynamics)

The role involves designing, creating, and optimizing cloud data processing solutions and documentation in collaboration with a team. You will analyze client requirements to deliver optimal business solutions and manage potential technical risks.

AI-First Data Engineer (m/f/d)

Build and optimize cloud-native data pipelines and infrastructure on AWS to power AI and analytics. Design scalable data models and implement governance to ensure reliability for operational and financial reporting.

Senior Cloud Data Engineer (branża Insurance)

The role involves migrating data to a unified system for an insurance client and recreating business logic within the new solution. You will collaborate closely with the client to refine requirements, create documentation, and optimize system solutions.

[GFA] Azure Senior Data Engineer

Develop reusable, metadata-driven data pipelines and comprehensive data models using Databricks Lakehouse architecture. Implement robust ETL/ELT solutions and event-driven integrations to evolve the Azure-based Data Analytics Platform.

Big Data Engineer IV

Design and implement large-scale data processing systems to extract business value from billions of daily ad requests. Collaborate with Product teams to own projects end-to-end while improving application efficiency, scalability, and stability.

Senior Software Engineer — Data Modeling (Europe)

Design and maintain backend services, REST APIs, and big data pipelines to power customer-facing insights and analytics. Develop a query engine and scale data processing pipelines to handle large volumes of activity data for the Unified Data Platform.

Senior Cloud Data Engineer (GCP)

Design and develop high-performance data pipelines and real-time processing solutions using Python and Go. Manage infrastructure as code with Terraform and ensure system reliability through monitoring and testing strategies.

Data Engineer (Cloud & Data Platform)

Design, build, and optimize scalable data processing systems and ETL/ELT pipelines within cloud and on-prem environments. Support the migration of legacy DWH systems to a Data Mesh platform while ensuring data quality and security.

Senior Cloud Data Engineer (AWS GCP Databricks)

Responsible for designing, creating, and optimizing cloud data processing solutions (ETL/ELT) and technical documentation. The role involves analyzing client business requirements to deliver optimal architectural solutions and managing potential risks.

Data Engineer (Contractor)

Design, build, and operate scalable data pipelines and infrastructure to ensure high-quality data for analytics and data science. This includes implementing MLOps automation and optimizing workflows for performance and cost.

Senior Data Engineer 28 applicants

Build and maintain resilient streaming and batch data pipelines to ingest, normalize, and distribute market and trading data. Develop self-serve tooling and data governance frameworks to ensure high-quality, observable, and performant data products across the organization.

Azure Data Engineer

Design and develop data pipelines and processing solutions using Azure Databricks and Python. Collaborate with business stakeholders to gather requirements and manage data products while ensuring data quality and security.

Principal Backend / Big Data Engineer

Design and implement scalable solutions for Akamai's cloud platform while developing data pipelines for ingestion and processing. Collaborate with cross-functional teams including Data Science, SecOps, and QA to maintain and optimize the SIA Data Platform.

Senior/Architect Data Engineer / RR

Lead the design and implementation of a Databricks-centric multi-agent processing engine, utilizing advanced technologies for scalable decoder automation. Collaborate with engineering and product teams to deliver workflows and dashboards while ensuring data governance and performance optimization.

524 | Senior Data Support Engineer

Lead Data Mesh Engineer

You will own the architectural execution and hands-on delivery of high-throughput, asynchronous event-streaming infrastructure and hybrid data pipelines. This involves managing multi-cloud environments using declarative code and ensuring robust schema governance and telemetry.

[C3T] Data Warehouse Engineer

You will analyze, process, and interpret large datasets to generate actionable insights for global clients. Additionally, you will be responsible for designing data warehouse models and maintaining robust ingestion and transformation processes.

[C3T] Data Warehouse Engineer

You will analyze, process, and interpret large datasets to generate actionable insights for the business. Additionally, you will be responsible for developing and maintaining ingestion processes and designing data warehouse models.

Geospatial Data Software Engineer (Regular/Senior)

Design, develop, and maintain advanced geospatial applications using ArcGIS Experience Builder and the broader ESRI ecosystem. Support clients as a geospatial consultant while managing spatial data processing and cloud-based ETL pipelines.