Remote Data Jobs · Azure

We are looking for a Senior Data Engineer with deep expertise in Azure and SQL to build, optimize, and deliver scalable data solutions across multiple client projects. In this role, you will work independently as well as part of a broader data team, engaging directly with customers, translating business needs into technical solutions, and ensuring best practices across data architecture, governance, and performance.

Maintain, troubleshoot, and optimize a data ingestion pipeline built with Java and Python. Implement new features and improvements that keep our systems efficient and scalable. Write clean, testable, and well-documented code. Participate in code reviews and share ideas that raise the bar for our engineering practices. Stay curious and up to date with emerging technologies and best practices in data engineering.

Lead the current state assessment of Client's data platform, including architecture, tooling, data governance, and data flows. Design a future-state logical architecture based on business and customer needs. Develop a multi-phase roadmap for platform modernization, including migration strategy, and stakeholder alignment. Facilitate executive and stakeholder workshops to gather input.

We are growing our data capabilities and are looking for a Senior Data Engineer to help us build the next stage of our analytics and AI journey. This is a hands-on role where you will work across the full data lifecycle—ingesting, transforming, modeling, enriching, and applying advanced analytics. You’ll help us navigate and adopt the rapidly evolving Microsoft Fabric and Azure AI ecosystem.

The Data Operations manager is responsible for managing the development and maintenance of business intelligence and data quality compliance tools. You must also be comfortable with acting as the subject matter expert in the tools and processes you manage, along with being able to gather knowledge from other SMEs and requirements from key stakeholders. This role requires a strong familiarity with all available analytics and technology tools, both syndicated and proprietary.

Seeking an experienced and dynamic Azure Data Engineer to lead data engineering engagements, design scalable data solutions, and help clients unlock the full potential of their data. The candidate will act as a trusted advisor, providing technical leadership and strategic guidance while working on cutting-edge Microsoft Azure technologies.

Seeking a highly skilled Data Engineer to strengthen our case-centric process mining and automation initiatives. This is an exciting opportunity for a technically strong professional who thrives on building robust data solutions and enabling actionable insights across end-to-end business processes.

We are seeking an innovative Power BI Developer to join our team working in a Scrum environment. The ideal candidate will have the opportunity to work remotely from anywhere in Slovakia and will take a leading role in designing, developing, and optimizing enterprise-level data-driven solutions in a Microsoft BI cloud environment. This role will focus on advanced automation, predictive analytics, AI-driven insights, and self-service BI enablement.

At Vattenfall, the mission is to help customers power their lives in climate smarter ways and enable a fossil free future. As a Data Engineer in the Data Science team, you will join a collaborative and skilled team that drives automation of real business cases through data-driven and Machine Learning-based intelligence. You will design, maintain, and monitor real-time and batch data pipelines, ingest and process external data feeds, and collaborate with Data Scientists and ML Engineers to build and maintain feature pipelines.

We are seeking a Data Scientist to support digital transformation initiatives. The contractor will be responsible for analyzing complex datasets, developing data pipeline strategies, and implementing AI/ML models to transition operations from reactive to predictive. This role requires both technical expertise and business acumen to ensure data-driven insights lead to tangible process improvements.