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.
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.
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.
Collaborates with researchers and cross-functional teams to design and deliver scalable data solutions on Azure Fabric.
Develops and maintains data pipelines, ETL/ELT processes, and ensures data quality and HIPAA compliance.
Evaluates emerging technologies and creates technical documentation for complex datasets and workflows.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community, offering a collaborative and inclusive culture.
Co-develops batch and streaming pipelines on Databricks using Python and Spark.
Defines data contracts, quality rules, and SLOs for each data product.
Guides domain teams on data modeling and data product boundaries.
Muttdata builds innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. It is a fast-growing, remote-first startup passionate about technology, collaboration, and continuous learning.
Design and deliver data engineering solutions, including data lakehouse buildouts and cloud migrations, for EMEA and US customers.
Lead small delivery teams, mentor junior engineers, and support pre-sales processes to compound impact across the organization.
Work with Apache Spark/Databricks on AWS/Azure, manage customer relationships, and communicate technical concepts to non-technical audiences.
DATAPAO is a data engineering and cloud migration consultancy that helps customers solve complex data puzzles. The company emphasizes a high-transparency culture, open feedback, and a strong community, with a focus on innovation and impact.
Architect scalable data solutions using Databricks, Azure Fabric, PySpark, and SQL.
Build and automate end-to-end data pipelines with Azure Data Factory and CI/CD practices.
Mentor junior engineers and partner with stakeholders to align data engineering with business objectives.
Alimentiv is a healthcare technology and clinical research organization supporting gastrointestinal clinical trials and data-driven innovation. It operates with a collaborative global team and a focus on quality, compliance, and technical excellence.
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.
Architect the Data Platform by designing internal SDKs and self-service frameworks for distributed engineering teams.
Own platform performance, optimizing the Databricks ecosystem for cost-effectiveness and scalability.
Drive data contracts and governance, implementing schema validation and security standards across the global ecosystem.
G-P offers a SaaS-based Global Employment Platform that enables companies to expand into over 180 countries quickly and efficiently. The company fosters a diverse, remote-first culture where innovation thrives and every contribution is valued.
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.
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.
Build and operate reliable data infrastructure supporting marketing, payments, and product analytics.
Design and maintain data pipelines using Databricks and Apache Airflow to ensure accurate and timely reporting.
Collaborate with cross-functional teams to translate business needs into scalable data solutions.
Our partner company builds digital products for the mobile app industry, focusing on data-driven marketing and analytics. They offer a collaborative, international environment with a remote-first culture and emphasize continuous learning and professional growth.
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 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.
Lead migration of legacy SQL Server and ADF pipelines to Databricks Lakehouse, designing Bronze, Silver, and Gold layers.
Build scalable ETL/ELT frameworks using PySpark, Delta Live Tables, and Databricks Workflows, optimizing for Power BI.
Establish governance, security, and cost optimization standards, including Unity Catalog and monitoring dashboards.
Tier One Technologies is a technology services provider delivering data engineering, cloud migration, and consulting solutions to US Government clients. The company fosters a collaborative, detail-oriented culture focused on technical excellence and knowledge transfer.
Define Azure Databricks landing zone architecture, workspace topology, and Unity Catalog governance standards.
Implement secure lakehouse patterns for identity, networking, data protection, and audit logging.
Drive enablement through CI/CD pipelines, FinOps practices, and reusable accelerators for analytics teams.
Planned Systems International (PSI) is a technology solutions company that delivers enterprise data platforms, cloud infrastructure, and analytics services. With a focus on professional growth and inclusion, PSI offers competitive benefits, certification support, and a collaborative culture.
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.
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.
Translate legacy Databricks notebook logic into modern ELT patterns using Python and PySpark, ensuring data contract preservation and reverse-view strategies.
Build scalable ingestion pipelines with YAML configurations and orchestrate automated DAG generation via workflow schedulers, applying quality assertions and migration validation.
Collaborate with business Data Stewards to align dependencies, negotiate refactoring scope, and validate migrated outputs for production systems.
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 tech transformation experience and over 8,000 CI&Ters in 25+ countries, we accelerate innovation through agentic SDLC, application modernization, Data & AI, martech, and business strategy.
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.