Design end-to-end data pipelines to collect, process, transform, and load data into cloud environments.
Lead and mentor a team of data engineers while collaborating with client stakeholders on data requirements.
Build and optimize ETL processes to ensure data quality, integrity, and actionable insights.
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers who love solving hard problems. They believe the right data can transform and propel growth for any organization.
Develop and maintain data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable, curated datasets.
Integrate new data sources, support financial reconciliation, P&L routines, and global closing processes, ensuring data consistency and accuracy.
Collaborate with multidisciplinary teams to deliver high-quality data solutions, support AI initiatives, and implement continuous improvements in data performance and quality.
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, they collaborate to build solutions with real impact.
Lead high-impact, company-wide data initiatives and mentor junior engineers to foster technical excellence.
Design and architect scalable data solutions, including ELT/ETL pipelines and optimized data models.
Ensure data quality and platform stability through rigorous frameworks and on-call support.
Atlassian is a software company that creates collaboration tools like Jira and Confluence to help teams work together. With a global workforce and a culture centered on teamwork and flexibility, Atlassian empowers employees to do their best work.
Design scalable cloud-native data architectures on Databricks or MS Fabric.
Implement data models, schemas, and storage patterns like lakehouse, Delta, and Parquet.
Collaborate with data architects, analysts, and business stakeholders to ensure data-driven decision making.
Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, provides comprehensive IT and telecommunications services with over 5,300 employees. The company has won awards for educational cooperation and ethical business practices, and it continuously develops its locations in Budapest, Debrecen, Pécs, and Szeged.
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.
Provide technical leadership to the Data Engineering team, guiding decisions and ensuring high-quality deliveries.
Design strategies for data ingestion, integration, and transformation from multiple sources; lead migration of data from SharePoint to SQL Server.
Define and implement Medallion Architecture, lead semantic models and Power BI solutions, and act as a bridge between business, architecture, and development teams.
CI&T helps large enterprises transform AI potential into real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With over 8,000 employees across 25+ countries and 30 years of experience, they combine human expertise and artificial intelligence to build scalable, high-impact technology solutions for global clients.
Develop and maintain data pipelines for ingestion, transformation, and modeling using Microsoft Azure and Databricks.
Work with PySpark, Azure Data Lake Storage, and Delta Lake to build scalable and performant data solutions.
Collaborate in Agile/SCRUM teams to deliver end-to-end data engineering projects.
Expleo is a global engineering, technology and consulting service provider that helps clients innovate and future-proof their businesses. With a presence in 30 countries, they leverage a network of affiliates and partners to deliver comprehensive services across multiple sectors.
Lead the complete data chain for the Foundation Pod, covering ingestion, Bronze, Silver, Gold layers, and the Power BI semantic layer.
Build, optimize, and maintain scalable ETL/ELT data pipelines and Gold certified datasets to drive BI and analytics.
Implement robust Data Lakes, Data Warehouses, and integration layers aligned with the global data strategy.
We help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact.
Lead design and implementation of enterprise data pipelines within Microsoft Fabric.
Mentor data engineers and establish best practices for data engineering.
Ensure data platform security, availability, and performance requirements are met.
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. The company provides a creative and forward-thinking environment with growth opportunities and modern perks.
Design and drive the execution of a scalable, cloud-native target-state architecture for the data platform.
Define architectural patterns for scalable automated data ingestion and deliver hands-on proof-of-concepts using SQL, PySpark, and Serverless Python.
Drive governance, security, and engineering excellence across all platform components, ensuring alignment with business and product strategies.
G-P is a SaaS-based Global Employment Platform that enables clients to expand into over 180 countries. Our diverse, remote-first teams foster innovation and value every contribution, empowering employees with flexibility and resources.
Design, develop, and maintain optimal data pipelines and workflows.
Provide technical guidance on architecture design and collaborate with Data Engineers for implementation.
Perform data integration, transformation, and cleaning to create actionable data for the business.
TREND Health Partners is a tech-enabled payment integrity company that facilitates collaboration between payers and providers to reduce waste and improve healthcare access. It is a dynamic, growing organization with a collaborative and innovative work environment.
Build and maintain Bronze-to-Gold pipelines in Databricks with Unity Catalog and metric views.
Extend automated data quality checks across gold-layer tables and validate against Power BI reports.
Establish documented pipelines, access models, and a working intake process for cross-department data requests.
CoreView empowers organizations to master Microsoft 365 complexity through robust security and governance. They serve over 23 million users worldwide and foster a collaborative, innovative culture.
Deliver complex data engineering projects for EMEA and US customers, individually or leading small teams.
Support pre-sales, mentor junior engineers, and contribute to hiring best-in-class data talent.
Work remotely in the UK with occasional travel to Budapest for onboarding and quarterly visits.
Datapao is a data engineering and cloud migration consulting company that helps clients solve complex data puzzles using technologies like Apache Spark and Databricks. They are a rapidly growing tech company with a high-transparency culture, emphasizing open feedback and no politics.
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.
Design, develop, and evolve scalable data solutions within cloud environments using Databricks.
Build and optimize data pipelines for large-scale processing with Python, PySpark/Spark, SQL, and Delta Lake.
Apply best practices in data governance, performance, and orchestration while working autonomously with data teams.
The hiring company specializes in data engineering and cloud-based solutions, using Databricks and modern data technologies to build scalable data platforms. It fosters a collaborative culture with continuous learning, innovation, and autonomy for its employees.
Design and build Databricks lakehouse pipelines using PySpark, Spark SQL, and Delta Lake.
Collaborate with frontend, architecture, and clinical teams on APIs and data ingestion.
Ensure GxP, 21 CFR Part 11, HIPAA, and GDPR compliance while optimizing Spark and Delta Lake.
Muttdata builds innovative Data Products and Machine Learning solutions for complex business challenges. They are a fast-growing, remote-first startup with a collaborative, ownership-driven culture that values continuous learning.
Architect and implement scalable, secure, and reliable data pipelines using modern platforms like Spark, Databricks, and Airflow.
Develop ETL/ELT processes to ingest data from various structured and unstructured sources, and perform exploratory data analysis.
Collaborate with cross-functional teams to design data models, write clean Python code, and deliver end-to-end features.
Netomi is a leading agentic AI platform for enterprise customer experience, working with global brands like Delta and MetLife. Backed by WndrCo, Y Combinator, and Index Ventures, the company is a well-funded startup with a collaborative culture.
Define and execute the long-term data engineering strategy, designing scalable ecosystems and driving engineering excellence.
Deliver major systems reliably, align with business goals, and manage data quality and governance.
Influence cross-functionally, mentor engineers, and champion organizational change through executive communication.
SmithRx is a rapidly growing, venture-backed Health-Tech company disrupting the Pharmacy Benefit Management sector with a next-generation drug acquisition platform. Since 2016, they have onboarded hundreds of thousands of members and foster a mission-driven, collaborative culture guided by integrity, courage, and togetherness.
Design and manage end-to-end data infrastructure including databases, Data Warehouses, Data Lakes, and Medallion Architecture.
Lead technical migration strategy from legacy systems to cloud platforms, ensuring smooth transition.
Translate business requirements into technical specifications, establish data models and governance policies.
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, they collaborate to build solutions with real impact.
Develop and maintain data pipelines, transformation logic, and data quality processes within Microsoft Fabric.
Implement Bronze, Silver, and Gold medallion architecture layers for assigned data domains.
Support Ed-Fi REST API integrations and Aspen-to-Ed-Fi mappings for education data workstreams.
Rackner is a software consultancy that builds mission-critical systems for the U.S. government, focusing on cloud, DevSecOps, AI/ML, and modern software engineering. The company supports federal agencies and national security missions, with a culture of collaboration, growth, and technical excellence.