Data Engineer

Job title: Senior Data Engineer

Job type: Contract

Contract Length: 12 Months

Rate: 200 Euros per day

Role Location: Bulgaria Fully Remote

Role And Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines across enterprise systems, including ERP, CRM, and operational platforms
• Build and support ICC's cloud-based data lakehouse architecture, aligned with medallion layer standards and governance requirements
• Develop and maintain data models, semantic layers, and curated datasets to support analytics and business intelligence
• Translate business requirements into technical data solutions in collaboration with product, engineering, and business stakeholders
• Ensure data quality, integrity, and security in line with ICC's data governance and compliance standards
• Optimize SQL queries, data pipelines, and storage performance across AWS and Azure platforms
• Support data integration initiatives, including Data Lake, D365 ERP, and CRM/AMS platforms
• Monitor pipeline health, troubleshoot issues, and ensure the high availability and reliability of data systems
• Contribute to the continuous improvement of data architecture, standards, and best practices
• Support AI and analytics initiatives by enabling access to high-quality, reliable data for downstream use

Job Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field
• 4+ years of experience in data engineering or data platform development
• Strong experience designing and building ETL/ELT pipelines in cloud environments
• Hands-on experience with AWS (S3, Redshift, Glue, DMS) and Azure (Data Factory, SSIS)
• Strong proficiency in SQL and relational database design
• Solid understanding of data warehousing, data lakes, and lakehouse architecture
• Experience processing structured, semi-structured, and unstructured data
• Experience with data modeling, data quality, and performance optimization
• Strong analytical, problem-solving, and communication skills

Nice to have

• Experience with medallion/lakehouse architecture patterns
• Experience working in multi-cloud environments (AWS and Azure)
• Experience with Databricks, Spark, or Azure Fabric
• Experience with Power BI or other enterprise reporting platforms
• Familiarity with AI/ML data enablement tools and concepts (e.g., AWS Bedrock, RAG)
• Experience with Git, Azure DevOps, and CI/CD practices
• Understanding of Agile methodologies and the SDLC

Accessibility Statement:?

We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process.?? ?

Our Commitment To Diversity, Equity, And Inclusion Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time.??

Check out our DE&I page here