Data specialist állások, munkák it programozás, fejlesztés területen

• Help us set the right goals: Develop clear and measurable targets based on an initiatives' scope. Improve our overall forecasting and goal setting capabilities.
• Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions.

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

Junior Data Engineer (a) Imagine using your data engineering skills to improve the way cardiovascular health is monitored and managed. Hilo by Aktiia is redefining blood pressure monitoring through AI-driven optical technology built on more than 20 years of research at the Swiss Center for...

• Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage)
• Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

Design, build, and continuously optimize ETL/ELT workflows that power our data landscape — from ingestion to delivery — with reliability and scale in mind....

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Collaboration with data owners across departments to establish accurate and complete datasets
• Support for definition, documentation and maintenance of metrics and KPIs across all business domains
• Collection, cleaning, structuring and preparation of datasets for analysis and reporting

Design and operate scalable workflows for the ingestion, integration, deduplication and harmonisation of heterogeneous environmental observation and research data, including traceable provenance, metadata enrichment and semantic annotation...

• Understanding global business strategy and translating on business department/employee level
• Creating alignment within the organisation for implementing action plans
• Proactive testing of new solutions and proposals to leverage service delivery maturity

You will be working on designing and building the geospatial data pipeline that powers our products. As part of our data team you will be heavily involved in our "ground truth," finding and integrating novel datasets, staying ahead of the latest research, and building the high-performance services...

• Support Snowflake-to-Databricks data migration activities
• Design and implement scalable data pipelines in Snowflake and Databricks
• Develop data ingestion and transformation processes from various sources
• Migrate and optimize existing data workflows, ETL processes, and transformation logic

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Delivery of complex data engineering projects
• Leading small delivery teams
• Management of customer relationships
• Supporting pre-sales processes
• Mentoring junior engineers
• Contributing to hiring data talent

• Operation of Power Platform components within the Cloud Data & Analytics Platform
• Monitoring platform usage, performance, and capacity
• Management and maintenance of Power BI gateways and secure data connections to Azure Lakehouse backend
• Oversight of role-based access control and workspace permissions

• Experience in different data science topics
• Independent delivery of data science projects with product-oriented mindset
• Engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....

• Design, implement, and maintain scalable BI and data processing solutions
• Develop and operate ETL pipelines for customer, booking, and product data
• Integrate data from various file- and REST-based Magenta APIs
• Generate and deliver reports and datasets for multiple downstream consumers

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers