Design, develop, and maintain scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to ensure data integrity and usability.
Implement data quality and governance practices within data pipelines.
We help large enterprises transform with AI and tech-integrated solutions. With 8,000 employees across 25+ countries, we collaborate to build solutions with real impact.
Enable efficient data access by creating and maintaining data pipelines.
Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
Identify, design and implement improvements to optimize data delivery and automate manual processes.
Eneba is building an open, safe, and sustainable marketplace for gamers, supporting over 20 million active users. They are a fast-growing company that values data-driven decision-making and fosters a healthy data culture across the organization.
Design and deliver complex data platform components or migration solutions on AWS using Databricks.
Troubleshoot performance, scalability, and reliability issues in cloud-native data environments.
Communicate technical topics clearly to stakeholders and produce high-quality documentation.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As a fully remote global company with employees in Canada, the United States, and Latin America, they celebrate diverse cultures and foster a community of technological curiosity.
Develop, adjust, and evolve data pipelines using Databricks and PySpark.
Analyze processes migrated from legacy systems (SAS, Hive, Teradata) and make necessary adjustments.
Identify bottlenecks and implement performance improvements and optimizations in pipelines and large-scale data processing.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25+ countries, we accelerate innovation through expertise in agentic SDLC, application modernization, Data & AI, martech, and business strategy.
Support and evolve existing SQL Server data platforms and ETL solutions.
Develop and maintain data pipelines using Azure Databricks, PySpark, and SQL.
Collaborate with BI teams to support Power BI and reporting platforms.
Miratech is a global IT services and consulting company that helps visionaries change the world. They retain nearly 1000 full-time professionals with a culture of relentless performance and over 99% project success rate.
Design and maintain scalable data pipelines and data models for internal and client-facing products.
Collaborate with product, design, and engineering teams to translate business needs into reliable data solutions.
Improve data quality, performance, and engineering practices while taking ownership of the data platform.
This company is a fast-growing global SaaS business operating in the healthcare technology sector. It offers a remote-first engineering environment with talented colleagues across multiple countries and cultures.
Design, build, and maintain scalable data platforms and solutions for business needs.
Optimize robust data pipelines using Databricks and modern frameworks.
Manage CI/CD pipelines for automated deployments and act as technical advisor.
Tieto Tech Consulting is a digital accelerator that combines business design with software engineering to drive innovation. With around 280 employees across Austria and Germany, they foster an open, collaborative culture and are part of a global team of 8,000.
Build end-to-end data products using Databricks, Delta Lake, SQL, Python, and PySpark.
Design and maintain batch, streaming, and near-real-time pipelines with Kafka and event-driven architectures.
Develop REST APIs, backend services, and lightweight applications while ensuring data governance and scalability.
This partner company focuses on data and technology solutions, hiring a Senior Data Engineer to build production-grade data products. The company's size and culture are not explicitly detailed, but the role emphasizes collaboration, remote work, and modern tech stacks.
Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps.
Develop data mapping and transformation workflows for loading into SQL Server client databases.
Collaborate with analytics teams to ensure data availability and quality for reporting and ML use cases.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is committed to client success and has a diverse, inclusive culture.
Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.
Design and maintain large-scale cloud data infrastructure for healthcare applications.
Build efficient ETL pipelines, self-service tools, and microservices using Azure, Snowflake, and Databricks.
Collaborate with product owners and team leads to define efficient data pipelines and schemas.
Sigma Software is an IT solutions company delivering innovative technology to global clients across multiple industries. They foster a supportive environment with cutting-edge technologies and meaningful projects.
Develop and evolve data ingestion applications using AWS tools such as Glue, Lambda, and SQS.
Optimize data pipelines with partitioning, skew balancing, and performance tuning.
Implement automated testing, code reviews, and deployments with a focus on FinOps.
CI&T helps large companies transform AI potential into real business impact through AI deployment, AI-native execution, and tech-integrated solutions. With 8,000 employees across 25+ countries, they foster a collaborative culture where AI is integrated into daily work.
Design and maintain data pipelines on AWS using Spark, Python, and SQL.
Orchestrate workflows with Airflow, containerize with Docker and ECS.
Collaborate within agile teams to deliver high-quality data solutions.
Devoteam is a leading European consulting firm focused on digital strategy, technology platforms, cybersecurity, and business transformation through technology. With over 10,000 employees across 20 countries in Europe, the Middle East, and Africa, they foster a close-knit professional culture.
You will work under the guidance of the Central Platform Team to build our Databricks engineering framework.
You will establish reusable development patterns and advance our core codebase.
You will use modern data engineering practices and AI-assisted tools to build scalable data solutions.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, they are committed to delivering impactful, future-ready solutions.
Build and maintain integrations against third-party billing APIs to expand vendor spend coverage.
Own data correctness, normalization, and end-to-end pipeline orchestration.
Work AI-augmented across the workflow, from prototyping to debugging and documentation.
DoiT is a global technology company that helps cloud-driven organizations leverage the cloud for growth and innovation. They are home to a global team of remote talent, with a culture that embraces entrepreneurship, learning, and fun.
Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
Mentor junior engineers and raise team-wide engineering standards
Optimize and monitor production workflows using tools like Airflow, dbt, and AWS
Cohere Health's clinical intelligence platform connects health plans and providers to optimize care. We are a growing company backed by leading investors, with a culture of empathy and collaboration.
Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
Contribute to data platform architecture and modeling, delivering trusted datasets.
3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.
Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.
Design, build, and operate data products that transform raw data into customer-facing insights.
Develop large-scale ETL/ELT pipelines using Apache Spark and PySpark, with workflow orchestration via Airflow or AWS Step Functions.
Work across AWS and GCP infrastructure, incorporating AI-assisted search and LLM-powered features in production.
The partner company builds data-driven intelligence products from unstructured social and public data. It operates with a remote-first, async-friendly culture that emphasizes high autonomy and low bureaucracy.
Build and optimize scalable data pipelines using Databricks, Spark, and PySpark for cloud migration.
Design and maintain data models (Bronze, Silver, Gold layers) to enable analytical insights.
Ensure data quality and governance while managing the technical roadmap and communicating with stakeholders.
CI&T helps large companies transform AI potential into real business impact with AI deployment and tech-integrated solutions. They have 8,000 employees across 25+ countries, fostering a collaborative and innovative culture.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.