Data Engineer

Data Engineer

The Data Engineer will design, build, and maintain ETL/ELT pipelines while ensuring data quality and reliability across the platform. They will collaborate with AI and product teams to support analytics, reporting, and data modeling initiatives.

Data Engineer

Design and deploy scalable data ecosystems and pipelines while integrating and modeling data into platforms. Develop intelligent applications and use cases to improve client efficiency and revenue generation.

Data Engineer

The role involves working as a Data Engineer within a dynamic team of analytics experts. Responsibilities include data integration, ETL processing, and managing big data environments.

Senior Clinical Data Engineer

Design, develop, and maintain scalable data pipelines to process and validate clinical and medical device data. Collaborate with cross-functional teams to ensure data quality and deliver analysis-ready datasets for statistical reporting.

[Job-00028] Senior Data Engineer, Portugal

The Senior Data Engineer will industrialize and optimize dbt pipelines while migrating workflows from DuckDB to PostgreSQL. They will also define data contracts and build scalable onboarding processes to support business expansion.

Data Engineer ID94415

The Data Engineer will execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. They will work embedded within the data engineering team to adapt existing pipelines and ensure data quality throughout the modernization process.

Senior Data Engineer

Design, build, and optimize scalable, cloud-based data platforms and pipelines to support analytics, AI, and data products. Collaborate with cross-functional teams to translate business requirements into robust, production-grade data solutions.

Senior AI-First Data Engineer

You will lead the transformation of the data platform into an AI-native foundation, transitioning from batch to streaming architectures. You will also build data products consumable by AI agents and business users while establishing engineering standards and best practices.

Senior Cloud Data Engineer (Remote)

You will build and operate the data platform for fleet telematics products, managing end-to-end workstreams from architecture to production deployment. Responsibilities include developing streaming and batch pipelines, ensuring data reliability, and implementing observability and cost-optimization strategies.

Senior Data Engineer

Develop internal data services such as a Feature Store and manage operational tasks. Build and maintain EL/ELT/ETL pipelines while integrating new tools for data processing and storage.

Staff Data Engineer

You will lead the design and scaling of the data platform that powers AI-driven vegetation analysis for utility grids. This involves architecting orchestration layers, building production-grade pipelines, and driving the transition to a service-oriented architecture.

Senior Data Engineer (Snowflake)

Lead the migration of data workflows from legacy Hadoop/Hive environments to Snowflake while designing scalable migration factories. Develop and maintain robust ETL/ELT pipelines and collaborate with stakeholders to translate business requirements into high-performing data architectures.

Senior Data Engineer

You will design, build, and operate end-to-end data solutions using the Azure data stack while maintaining scalable ETL/ELT pipelines. Additionally, you will manage infrastructure, implement CI/CD processes, and collaborate with BI teams to ensure data quality and governance.

Senior Clinical Data Engineer

The Senior Clinical Data Engineer will design, develop, and maintain scalable data pipelines to process and transform clinical and medical device data. They will collaborate with cross-functional teams to ensure data quality, consistency, and usability for statistical analysis and evidence generation.

Analytics Engineer, Data Platform

You will own and improve monitoring, observability, and engineering standards across the data platform to ensure reliable pipeline health. Additionally, you will build internal tooling and support AI adoption to remove friction for data analysts and engineers.

Senior Data Engineer

Design, implement, and scale production-grade data pipelines and real-time streams ranging from megabytes to petabytes. Lead technical projects through architecture and implementation while collaborating with cross-functional teams to maintain data quality.

Senior Data Engineer - Databricks (m/f/*)

Design, implement, and maintain scalable data pipelines on the Databricks Lakehouse Platform using Apache Spark and Delta Lake. Collaborate with cross-functional teams to optimize data workflows and support data governance and security best practices.

Data Engineer| BI Developer

Develop and maintain robust data pipelines and analytical data models using SSIS and SSAS. Build reporting solutions with Power BI and SSRS while optimizing SQL Server performance and ensuring data quality.

Data Engineer (AWS)

Build and maintain data pipelines for collecting, transforming, and integrating data from various sources. Ensure efficient data enablement and reporting solutions through the deployment of scalable data products.

Data Engineer (Brussels)

The role involves designing and optimizing data flows within a Fabric Lakehouse environment, focusing on low-latency processing and multi-stack integration. Responsibilities include implementing data design patterns like SCD and managing transaction logs for Delta Lake.

Mid Data Engineer

Develop and maintain robust data pipelines and analytical data models using SSIS, SSAS, and SQL Server. Build reporting solutions with Power BI and SSRS while collaborating with business teams to translate requirements into technical solutions.

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.

Staff Engineer — Data Platform

You will define the architecture for the data platform and lead the design of scalable, low-latency pipelines for high-volume payment transactions. Additionally, you will mentor senior engineers and partner with cross-functional teams to ensure data reliability and business value.

Senior Data Platform Engineer

You will design and evolve a streaming lakehouse architecture while building reliable, low-latency distributed data pipelines. Additionally, you will develop self-service API surfaces and agentic interfaces to support clinical, operations, and AI teams.

Senior Machine Learning Engineer & Data Analyst – Financial Risk Scoring

You will design and improve financial risk scoring algorithms while building scalable data pipelines to process massive datasets. Additionally, you will deploy production-ready machine learning models for fraud detection and behavioral analysis while ensuring model stability and explainability.

Mid Data Platform Engineer

You will develop and maintain data platforms, supporting data pipelines and ETL/ELT processes for a large-scale energy provider. Additionally, you will collaborate with stakeholders to troubleshoot issues, optimize SQL queries, and automate data ingestion and delivery workflows.

Data Platform Engineer

Design and maintain scalable real-time data pipelines and a high-performance ClickHouse warehouse to support AI agents and analytical needs. Own the end-to-end feature-serving layer and implement data contracts to ensure seamless multi-tenant scaling.

Technology Data Solutions Engineer - Vice President

The Full Stack Engineer will work end-to-end on developing new features, enhancements, and resolving defects across iCapital's software platforms. This involves close collaboration with Product Management to detail requirements, review work in progress, and address testing issues.

Senior AI Data Architect / Solution Engineer - Flexible across Portugal, Spain, Ireland, India or North America

Design and implement scalable data architectures and AI products that bridge business needs with technical execution. Lead technical initiatives, mentor engineering staff, and build agentic workflows to enable data-driven decision-making.