Job VC

IT Craft is looking for a Senior Data Engineer to join our team.
As a Senior Data Engineer, you will design, build, and optimize enterprise data pipelines and lakehouse solutions aligned with the given data architecture, governance standards, and cloud-first strategy. You will partner with cross-functional teams to deliver secure, scalable, and high-quality data solutions that enable analytics, reporting, and AI-driven capabilities.
Responsibilities:
Design, develop, and maintain scalable ETL/ELT pipelines across enterprise systems, including ERP, CRM, and operational platforms;
Build and support cloud-based data lakehouse architecture aligned with medallion layers and governance standards;
Develop and maintain data models, semantic layers, and curated datasets for 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 alignment with given 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 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 high-quality, accessible data for downstream consumption.
Requirements:
Technical Skills and Experience:
5+ 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 with structured, semi-structured, and unstructured data processing;
Experience with data modeling, data quality, and performance optimization;
Experience with Git, Azure DevOps, and CI/CD practices;
Strong analytical, problem-solving, and communication skills;
At least an Upper-Intermediate level of spoken and written English.
Non-Technical Skills:
Build positive working relationships across multiple IT disciplines and staff levels;
Collaborate effectively and welcome feedback on ongoing projects;
Respond to business issues with an appropriate sense of urgency;
Know when to escalate a problem or seek assistance;
Be organized, proactive, and self-motivated;
Communicate clearly, both verbally and in writing;
Demonstrate strong problem-solving skills and attention to detail;
Identify and document business and system requirements;
Thrive in a high-energy, team-focused environment;
Deliver high-quality results while meeting project schedules.
Nice to Have:
Experience with Databricks, Spark, or Azure Fabric;
Experience with Power BI or enterprise reporting platforms;
Familiarity with AI/ML data enablement and tools (e.g., AWS Bedrock, RAG concepts).
Role Characteristics:
Technical individual contributor role with ownership of data engineering deliverables;
Works on complex initiatives aligned with a given enterprise data strategy;
Collaborates with cross-functional teams across IT, analytics, and business units;
Contributes to architecture decisions and continuous improvement efforts.
What We Offer:
Competitive compensation according to the qualifications;
Flexible working hours, remote work;
Opportunity for career growth;
Reward for sports activities;
In-house English training;
A friendly team of open-minded people.
Please send your CV.
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