Om rollen
As a Data Engineer at WiseScore, you’ll architect and optimize data pipelines that power our AI and analytics platforms. You’ll work with structured and unstructured data, building infrastructure that enables fast, reliable, and compliant data access across departments and clients.
This role is for builders who thrive on solving complex data challenges and who want to enable meaningful machine learning outcomes at scale.
Ansvarsområden
Lead and support data-driven transformation projects for clients across industries, with a focus on cloud-native architecture and modern data tooling
Assess clients’ data infrastructure maturity, identifying gaps in pipelines, storage, integration, and scalability
Design and implement ETL/ELT pipelines, real-time data flows, and automated data processing frameworks
Develop and execute data modernization roadmaps across platforms like GCP (BigQuery, Dataflow), AWS (Redshift, Glue, Lambda), and Azure (Synapse, Data Factory)
Advise clients on best practices in data governance, security, observability, and efficient cloud resource usage
Enable effective data utilization for advanced analytics, ML models, and business intelligence tools
Collaborate with cross-functional teams including cloud architects, AI/ML engineers, and product leads to ensure alignment on technical and business objectives
Present architecture designs, data models, and migration strategies to stakeholders in a clear, actionable manner
Krav
3–6 years of experience in data engineering, digital transformation, or consulting roles with a focus on scalable architecture
Solid understanding of cloud platforms (AWS, GCP, Azure)
Hands-on experience with ERP data integration (e.g., SAP, Microsoft Dynamics, Oracle), enabling unified data flows across business systems
Proven track record of designing data strategies that bridge business goals and technology execution
Strong analytical, communication, and stakeholder management skills in cross-functional environments
Master’s degree in Computer Science, Information Systems, AI or a related technical or business field
Börkrav
Experience working with streaming data and event-based architectures (e.g., Pub/Sub, Kinesis, Kafka Streams)
Knowledge of data privacy frameworks (e.g., GDPR, HIPAA) and implementing compliant data solutions
Familiarity with data lineage, observability, and cataloging tools (e.g., OpenLineage, DataHub, Amundsen)
Exposure to AI/ML data workflows, such as managing feature stores or supporting experimentation environments
Vad vi erbjuder
Remote flexibility with the option to work hybrid depending on project and location
Opportunity to work on cutting-edge digital and AI transformation initiatives across industries
Global project exposure, collaborating with clients and teams across Europe, the U.S., and emerging markets
30 days of paid vacation in your first year, plus performance-based bonuses
A mission-driven team with strong values around ethics, sustainability, and open innovation
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