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.??
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